Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? | Paper Citation Record

Observation 689c45d2-87cc-4baa-a256-e26be0f53ed6 · outbound

This paper cites Principles of Evaluation in Natural Language Processing,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Principles of Evaluation in Natural Language Processing,

Reference 1

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Observation 7680c4c5-ab05-40de-bfb9-5b3bdd50f0df · outbound

This paper cites Natural Language Inference ,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Natural Language Inference ,

Reference 2

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Observation 1259cf48-029a-46e1-a7d5-840d469b0b86 · outbound

This paper cites PROBABILISTIC TEXTUAL ENTAILMENT: GENERIC APPLIED MODELING OF LANGUAGE VARIABILITY,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? PROBABILISTIC TEXTUAL ENTAILMENT: GENERIC APPLIED MODELING OF LANGUAGE VARIABILITY,

Reference 3

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Observation 927f39e9-f3cc-454e-bf7d-d4a33ded723b · outbound

This paper cites Probabilistic textual entailment: Generic applied modeling of language variability,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Probabilistic textual entailment: Generic applied modeling of language variability,

Reference 5

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This paper cites The Seventh PASCAL Recognizing Textual Entailment Challenge,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? The Seventh PASCAL Recognizing Textual Entailment Challenge,

Reference 6

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This paper cites The Sixth PASCAL Recognizing Textual Entailment Challenge,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? The Sixth PASCAL Recognizing Textual Entailment Challenge,

Reference 8

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Observation 7fe02df0-38d3-44dc-8c54-1e59a0b1d7b2 · outbound

This paper cites The Fifth PASCAL Recognizing Textual Entailment Challenge,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? The Fifth PASCAL Recognizing Textual Entailment Challenge,

Reference 9

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Observation 9ece044d-c086-4df3-bf6b-0e44cb3cd691 · outbound

This paper cites The Third PASCAL Recognizing Textual Entailment Challenge,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? The Third PASCAL Recognizing Textual Entailment Challenge,

Reference 10

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Observation 92ba844e-0949-47ea-addb-9ab860166dde · outbound

This paper cites The Second PASCAL Recognising Textual Entailment Challenge,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? The Second PASCAL Recognising Textual Entailment Challenge,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:53.601192Z

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Observation 1b9991c9-4ae9-4ed4-88b2-123b54dcb7e0 · outbound

This paper cites The PASCAL Recognising Textual Entailment Challenge,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? The PASCAL Recognising Textual Entailment Challenge,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:53.769882Z

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Observation cae6e79b-fc41-44fd-9fbe-c77460cc6ebf · outbound

This paper cites The Fourth PASCAL Recognizing Textual Entailment Challenge,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? The Fourth PASCAL Recognizing Textual Entailment Challenge,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:53.910758Z

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Observation f78a0d00-f5f3-4b3f-b020-b63fb381a23b · outbound

This paper cites Recognizing Textual Entailment: Models and Applications,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Recognizing Textual Entailment: Models and Applications,

Reference 14

Resolution: verified exact; doi, observed 2026-08-06T13:38:04.882356Z

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Observation ebe93d99-08dc-4bbf-b71a-f2a226fd7535 · outbound

This paper cites The Winograd Schema Challenge,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? The Winograd Schema Challenge,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:54.120712Z

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Observation 08857552-76f4-423c-8d58-10b41f0d7ba5 · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference,

Reference 16

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Observation 66995a61-e64d-4e3c-9ff5-05e584fbf5a5 · outbound

This paper cites A large annotated corpus for learning natural language inference,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? A large annotated corpus for learning natural language inference,

Reference 17

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Observation 3597f193-4c39-413e-ad2a-facdc16169b5 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:54.336819Z

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Observation f1d0f05a-eadd-4e8d-b8ea-4d6e4d976f47 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? PaLM: Scaling Language Modeling with Pathways

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:54.375277Z

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Observation 77c1d34e-f5b0-49df-a804-4d570799d029 · outbound

This paper cites Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:38:06.437083Z

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Observation 3368c16d-2b2d-4928-be27-0ec4dcc1c3e8 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? RoBERTa: A Robustly Optimized BERT Pretraining Approach,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.816504Z

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Observation bb834d31-58b1-488c-a015-781ebdc0d131 · outbound

This paper cites Semantics-aware BERT for Language Understanding,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Semantics-aware BERT for Language Understanding,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.803775Z

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Observation 6d1c5b9b-b0dd-4cf2-8f26-47ae3d0b1789 · outbound

This paper cites XLNet: Generalized Autoregressive Pretraining for Language Understanding,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? XLNet: Generalized Autoregressive Pretraining for Language Understanding,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.791260Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 92347395-5567-476b-b319-f3dd66da57aa · outbound

This paper cites AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model

Reference 24

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Observation c865e660-91f3-44ca-8312-1150c6491cd4 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? BloombergGPT: A Large Language Model for Finance

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:54.862401Z

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Observation 3ff88a52-1719-405a-80ac-5075153207c8 · outbound

This paper cites First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:38:04.472952Z

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Observation a6ec2638-a7ae-49e6-968c-5deaf8a1b8fe · outbound

This paper cites ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:54.981376Z

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Observation 3fa32c45-f2d4-4d46-9df6-b83f036f226a · outbound

This paper cites Rethinking embedding coupling in pre-trained language models.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Rethinking embedding coupling in pre-trained language models

Reference 28

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Observation 5b3cc215-56f3-4f27-9ab0-4497e504c3bd · outbound

This paper cites mGPT: Few-Shot Learners Go Multilingual,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? mGPT: Few-Shot Learners Go Multilingual,

Reference 29

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Observation c363be4e-caae-41c6-acfb-d19496db7f62 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? DeBERTa: Decoding-enhanced BERT with Disentangled Attention,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.778137Z

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Observation c9666e37-80af-4a35-9a5a-f5a4ba0d4a8e · outbound

This paper cites Available: https://aclanthology.org/2007.tal-1.1.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Available: https://aclanthology.org/2007.tal-1.1

Reference 31

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This paper cites SpanBERT: Improving Pre-training by Representing and Predicting Spans,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? SpanBERT: Improving Pre-training by Representing and Predicting Spans,

Reference 32

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This paper cites SqueezeBERT: What can computer vision teach NLP about efficient neural networks?,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? SqueezeBERT: What can computer vision teach NLP about efficient neural networks?,

Reference 33

Resolution: verified exact; doi, observed 2026-08-06T13:38:04.069737Z

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This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 34

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Observation ee6d3f64-5603-453d-9f90-1a7a75c00cf4 · outbound

This paper cites A Dataset for Arabic Textual Entailment,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? A Dataset for Arabic Textual Entailment,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.765397Z

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This paper cites ARNLI: ARABIC NATURAL LANGUAGE INFERENCE ENTAILMENT AND CONTRADICTION DETECTION,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? ARNLI: ARABIC NATURAL LANGUAGE INFERENCE ENTAILMENT AND CONTRADICTION DETECTION,

Reference 36

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This paper cites ArEntail: manually-curated Arabic natural language inference dataset from news headlines,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? ArEntail: manually-curated Arabic natural language inference dataset from news headlines,

Reference 37

Resolution: verified exact; doi, observed 2026-08-06T13:38:03.723052Z

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Observation 1a673ff0-d2b4-49a6-98f6-a8169e2a117e · outbound

This paper cites Baselines and Test Data for Cross-Lingual Inference,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Baselines and Test Data for Cross-Lingual Inference,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.752969Z

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This paper cites XNLI: Evaluating Cross-lingual Sentence Representations,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? XNLI: Evaluating Cross-lingual Sentence Representations,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:55.900030Z

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This paper cites Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:55.976655Z

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Observation fed28c6d-80b1-4c58-a42d-1a3e195df645 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension,

Reference 41

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Observation 134ae3ce-000c-4867-b024-63f1140fcd0f · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 42

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Observation 4a4fdf83-36d2-47a1-9a3a-bf5c34d8e745 · outbound

This paper cites MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

Reference 43

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Observation 6e8521c3-0535-431a-adb0-cf7b87e61d38 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:56.318397Z

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Observation 16c9bc1a-6cad-42d4-b394-b7fbd6ae360d · outbound

This paper cites Less annotating, more classifying: Addressing the data scarcity issue of supervised machine learning with deep transfer learning and BERT-NLI,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Less annotating, more classifying: Addressing the data scarcity issue of supervised machine learning with deep transfer learning and BERT-NLI,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:56.411095Z

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Observation 667d3618-e2f9-4aad-aed6-1437fbae2362 · outbound

This paper cites GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP,

Reference 46

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Observation 40349f99-cd76-426c-8308-65af190c6935 · outbound

This paper cites CLSE: Corpus of Linguistically Significant Entities,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? CLSE: Corpus of Linguistically Significant Entities,

Reference 47

Resolution: verified exact; doi, observed 2026-08-06T13:38:03.524186Z

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Observation 6780fe5d-533e-4a91-b726-fad1dc3b9773 · outbound

This paper cites The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:56.721456Z

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Observation d9bdb60a-d4bf-4124-a838-90cf873f7543 · outbound

This paper cites GEMv2: Multilingual NLG Benchmarking in a Single Line of Code,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? GEMv2: Multilingual NLG Benchmarking in a Single Line of Code,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:56.833242Z

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Observation 8d70fd07-bf64-4b58-9148-ee1014d64153 · outbound

This paper cites IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages,

Reference 50

Resolution: verified exact; doi, observed 2026-08-06T13:38:03.343289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cefb55ee-4493-4e6d-a886-cfd1123f63fa · outbound

This paper cites MTG: A Benchmark Suite for Multilingual Text Generation,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? MTG: A Benchmark Suite for Multilingual Text Generation,

Reference 51

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Observation d9de5286-75d9-4675-8b07-727b8602c4a2 · outbound

This paper cites IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:57.121190Z

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Observation 5bcbe44a-2669-4ef9-a89d-6eb813094b39 · outbound

This paper cites Dolphin: A Challenging and Diverse Benchmark for Arabic NLG,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Dolphin: A Challenging and Diverse Benchmark for Arabic NLG,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.740001Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8720e990-6952-456b-85f3-0f4c21cbe7cb · outbound

This paper cites TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.727123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ddab1a97-4f81-4959-a22c-a35ea5dffcae · outbound

This paper cites AraBench: Benchmarking Dialectal Arabic-English Machine Translation,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? AraBench: Benchmarking Dialectal Arabic-English Machine Translation,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:57.376864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71743e22-ff20-481c-9453-e97fd137ca06 · outbound

This paper cites BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:57.717646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9f11951-f937-49e1-9aee-a16f37f9f3d7 · outbound

This paper cites AraT5: Text-to-Text Transformers for Arabic Language Generation,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? AraT5: Text-to-Text Transformers for Arabic Language Generation,

Reference 57

Resolution: verified exact; doi, observed 2026-08-06T13:38:03.156193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dfb6a474-923b-401a-b713-bd14cc433a19 · outbound

This paper cites CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:38:05.964795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 697a2908-5568-4ec5-aa20-637db9fab701 · outbound

This paper cites PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation,

Reference 59

Resolution: verified exact; doi, observed 2026-08-06T13:38:02.957624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6026dce6-d303-4a06-95d5-120a540ddcfb · outbound

This paper cites Benchmarking Multidomain English-Indonesian Machine Translation,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Benchmarking Multidomain English-Indonesian Machine Translation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.714116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 733fc5c9-80fc-4805-99d5-8ee6d3a4d02c · outbound

This paper cites LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:57.998337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec315073-34a0-4046-908d-7d5c555da901 · outbound

This paper cites XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.701733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 834cf8cc-1dd7-40e3-a06a-18e24224514f · outbound

This paper cites GLGE: A New General Language Generation Evaluation Benchmark,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? GLGE: A New General Language Generation Evaluation Benchmark,

Reference 63

Resolution: verified exact; doi, observed 2026-08-06T13:38:02.737908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cd68d2a5-e9de-4fd4-84b3-337170cf595c · outbound

This paper cites XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:58.638320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d447d3c-7d5e-4330-9a75-7b9517c6d21f · outbound

This paper cites SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.676377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b22bb799-41d6-4867-8b87-9c6c7755d77d · outbound

This paper cites XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.689029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 91ba2886-2bae-4cb1-b74f-6be8ae3ec06f · outbound

This paper cites ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:58.891569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c24f0c1-3e5d-44a9-bc2a-ea910c5188b6 · outbound

This paper cites ORCA: A Challenging Benchmark for Arabic Language Understanding,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? ORCA: A Challenging Benchmark for Arabic Language Understanding,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.651628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b32b011a-7ce8-4541-b6bd-ae0eff8c7655 · outbound

This paper cites ALUE: Arabic Language Understanding Evaluation,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? ALUE: Arabic Language Understanding Evaluation,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.663782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aa3195d2-a51d-4dc0-b2af-9a6328055803 · outbound

This paper cites LAraBench: Benchmarking Arabic AI with Large Language Models,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? LAraBench: Benchmarking Arabic AI with Large Language Models,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.638619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d53b659a-8b8c-4b69-b0d3-297b7cee87ca · outbound

This paper cites Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:59.448235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a748ce81-d50b-4170-9c70-a9b4a5157d34 · outbound

This paper cites ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic,

Reference 72

Resolution: malformed identifier; no resolver link, observed 2026-08-06T13:37:59.160290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9877f715-1110-4b79-8c3f-227868f75d03 · outbound

This paper cites KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding,

Reference 73

Resolution: verified exact; doi, observed 2026-08-06T13:38:02.509856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9a5d9f2e-eccc-4638-a16a-58b6e0d13866 · outbound

This paper cites CLUE: A Chinese Language Understanding Evaluation Benchmark,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? CLUE: A Chinese Language Understanding Evaluation Benchmark,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:59.782498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c0eb517-fdff-4864-8015-0a2649c2db02 · outbound

This paper cites JGLUE: Japanese General Language Understanding Evaluation,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? JGLUE: Japanese General Language Understanding Evaluation,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.597294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a814e55-d8bb-433c-aca1-1e236472a633 · outbound

This paper cites FlauBERT: Unsupervised Language Model Pre-training for French,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? FlauBERT: Unsupervised Language Model Pre-training for French,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.611359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 41de1071-0512-47c3-a8fe-401ca88f2706 · outbound

This paper cites KLUE: Korean Language Understanding Evaluation,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? KLUE: Korean Language Understanding Evaluation,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.583677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1f389aa9-9204-45a9-b2f4-5567479ee156 · outbound

This paper cites UINAUIL: A Unified Benchmark for Italian Natural Language Understanding,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? UINAUIL: A Unified Benchmark for Italian Natural Language Understanding,

Reference 78

Resolution: verified exact; doi, observed 2026-08-06T13:38:02.321727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f7a1f880-dcd6-4806-b4b3-97735c014b95 · outbound

This paper cites SuperGLEBer: German Language Understanding Evaluation Benchmark,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? SuperGLEBer: German Language Understanding Evaluation Benchmark,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:00.244011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d1de291-c078-4bfd-a723-c1c8c9e3acb6 · outbound

This paper cites IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:59.916339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76900af7-102a-4306-8a0b-67ccdec9f9c5 · outbound

This paper cites IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.569610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e878b29-8a63-4574-a305-5822fc162d67 · outbound

This paper cites Using the Framework,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Using the Framework,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.555603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba872268-3e9f-40d9-9560-5bbaf7689c15 · outbound

This paper cites An extended model of natural logic.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? An extended model of natural logic

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.542099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 200d0496-5d0a-4469-b32f-05bc9bee392d · outbound

This paper cites VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding,

Reference 84

Resolution: verified exact; doi, observed 2026-08-06T13:38:02.179538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b17cb167-b484-401e-a616-35348e3c564f · outbound

This paper cites Analysis of identifying linguistic phenomena for recognizing inference in text,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Analysis of identifying linguistic phenomena for recognizing inference in text,

Reference 85

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-06T13:38:05.500337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2351178e-b1e2-4ac3-aae2-2b68cae1df7e · outbound

This paper cites EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference,

Reference 86

Resolution: verified exact; doi, observed 2026-08-06T13:38:01.970328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 40b6093e-fe1b-4e39-b590-8aa0b747a202 · outbound

This paper cites Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability,

Reference 87

Resolution: verified exact; doi, observed 2026-08-06T13:38:01.777765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation acffebb4-f9ff-4e31-b663-cfa23187988a · outbound

This paper cites NaturalLI: Natural Logic Inference for Common Sense Reasoning,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? NaturalLI: Natural Logic Inference for Common Sense Reasoning,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.125392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5dec987b-ab00-4b50-ba09-6af7a885574b · outbound

This paper cites Building Textual Entailment Specialized Data Sets: a Methodology for Isolating Linguistic Phenomena Relevant to Inference.,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Building Textual Entailment Specialized Data Sets: a Methodology for Isolating Linguistic Phenomena Relevant to Inference.,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.450314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1106c391-1b24-4171-b2f6-dfb5fc5e9610 · outbound

This paper cites Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation

Reference 90

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:38:01.441104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c4943d82-5393-44fc-b3cd-d9f8ea6645d3 · outbound

This paper cites Neural Networks and Textual Inference: How did we get here and where do we go now?,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Neural Networks and Textual Inference: How did we get here and where do we go now?,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:06.760253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8fdf345c-55e3-41bd-8aec-bfd2f400b9e4 · outbound

This paper cites On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference,.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference,

Reference 94

Resolution: verified exact; doi, observed 2026-08-06T13:38:01.605861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 40049495-c160-45a7-b31a-d5732925ded0 · outbound

This paper cites Available: https://aclanthology.org/2024.eacl-long.30/.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Available: https://aclanthology.org/2024.eacl-long.30/

Reference 520

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:07.625044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 066998a0-309a-4784-bc5e-efbdddc4b793 · outbound

This paper cites an unresolved cited work.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Unresolved cited work

Reference 1422

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:57.304442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7cab572-fdec-491a-aa9c-c7017d1b647a · outbound

This paper cites an unresolved cited work.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Unresolved cited work

Reference 4961

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:00.432949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b815d477-6ea3-4d30-bf6b-0f182e0c0899 · outbound

This paper cites an unresolved cited work.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Unresolved cited work

Reference 6018

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:58.401646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers