Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks | Paper Citation Record

Observation 4fe0d037-e518-4eb2-8a25-6e2c70fa75e0 · outbound

This paper cites MEGA: Multilingual Evaluation of Generative AI.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks MEGA: Multilingual Evaluation of Generative AI

Reference 4

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Observation 8245fc0e-fdc9-453d-8e66-d6460a396824 · outbound

This paper cites On the Cross-lingual Transferability of Monolingual Representations.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks On the Cross-lingual Transferability of Monolingual Representations

Reference 6

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Observation c6af4b12-d765-47ac-b21d-9c1593108e11 · outbound

This paper cites The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

Reference 8

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Observation 8da436a6-f6f8-40c4-aa78-5fef78f4e64f · outbound

This paper cites Semeval-2019 task 5: Multilingual detection of hate speech against immigrants and women in twitter.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Semeval-2019 task 5: Multilingual detection of hate speech against immigrants and women in twitter

Reference 9

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Observation 1789270a-d7bb-4722-96e0-030b1532b1e8 · outbound

This paper cites Language models are few-shot learners.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Language models are few-shot learners

Reference 10

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Observation 59f8422f-da44-4073-b948-1faeb687e0b0 · outbound

This paper cites A Sentiment Analysis Dataset for Code-Mixed Malayalam-English.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks A Sentiment Analysis Dataset for Code-Mixed Malayalam-English

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:53:04.690650Z

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Observation 370d9013-592d-4d6e-a643-31f4d4f784eb · outbound

This paper cites A Survey on Evaluation of Large Language Models.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks A Survey on Evaluation of Large Language Models

Reference 12

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Observation de3bb18d-7de6-4905-874e-112752dc5274 · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Unleashing the potential of prompt engineering for large language models

Reference 13

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Observation ad92c961-1eb9-4e1c-bd3d-0e78326a050a · outbound

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

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks XNLI: Evaluating Cross-lingual Sentence Representations

Reference 14

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Observation 723debf5-6e8a-4d88-b9ed-65ce64fcf68d · outbound

This paper cites Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages

Reference 16

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Observation cb9f8df0-92db-4270-8ead-2b2fcb8d576e · outbound

This paper cites Privacy Preserving Prompt Engineering: A Survey.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Privacy Preserving Prompt Engineering: A Survey

Reference 18

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Observation de89bbbe-11c9-4367-9b51-b63095356537 · outbound

This paper cites Do Multilingual Language Models Think Better in English?.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Do Multilingual Language Models Think Better in English?

Reference 19

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Observation 100802bb-1602-42cb-be6f-fc8d70c6776f · outbound

This paper cites Meep: Is this engaging? prompting large language models for dialogue evaluation in multilingual settings.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Meep: Is this engaging? prompting large language models for dialogue evaluation in multilingual settings

Reference 20

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Observation 11061b57-83dd-4e84-9465-ada5fd1e1941 · outbound

This paper cites GPTScore: Evaluate as You Desire.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks GPTScore: Evaluate as You Desire

Reference 21

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Observation e363943b-e49b-40d5-8575-bb4b788d44f2 · outbound

This paper cites Overview of hope at iberlef 2024: Approaching hope speech detection in social media from two perspectives, for equality, diversity and inclusion and as expectations.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Overview of hope at iberlef 2024: Approaching hope speech detection in social media from two perspectives, for equality, diversity and inclusion and as expectations

Reference 22

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Observation 32d24085-b44f-4e0d-ab0c-bc33d905a53e · outbound

This paper cites Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation

Reference 23

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Observation 93f07422-421d-47dd-81c1-59ff374dcc95 · outbound

This paper cites Teaching large language models to translate on low-resource languages with textbook prompting.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Teaching large language models to translate on low-resource languages with textbook prompting

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:53:04.981940Z

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Observation a19aa08e-05b1-4c0c-8012-a4e3809e1b9a · outbound

This paper cites XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages

Reference 25

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Observation 9ed7b72b-5a7b-4b42-af75-6bc73b9b8600 · outbound

This paper cites Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts

Reference 26

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Observation 1efeb6d9-f9a6-46a6-beb2-d675101cb4da · outbound

This paper cites OCNLI: Original Chinese Natural Language Inference.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks OCNLI: Original Chinese Natural Language Inference

Reference 27

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Observation 37b3ceb5-7d01-4978-84a8-fa3104b7ae82 · outbound

This paper cites A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers

Reference 28

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Observation b275f07e-6404-4d98-9259-bfabdbe29817 · outbound

This paper cites Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications?.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications?

Reference 29

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Observation 88cfe7e0-38a9-4cfc-af84-e73578bbde1d · outbound

This paper cites Towards Effective Disambiguation for Machine Translation with Large Language Models.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Towards Effective Disambiguation for Machine Translation with Large Language Models

Reference 30

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Observation 91fdd447-cdfe-4e51-b14b-d03d03b36c1f · outbound

This paper cites Indicnlpsuite: Monolingual corpora, evaluation benchmarks and pre-trained multi- lingual language models for indian languages.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Indicnlpsuite: Monolingual corpora, evaluation benchmarks and pre-trained multi- lingual language models for indian languages

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:53:04.968177Z

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Observation 30b35b34-2925-4d05-8108-beb22c8c56fa · outbound

This paper cites The Multilingual Amazon Reviews Corpus.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks The Multilingual Amazon Reviews Corpus

Reference 32

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Observation 7fb7c49b-dc4a-40b3-b9ad-ef5d9d35b083 · outbound

This paper cites GLUECoS : An Evaluation Benchmark for Code-Switched NLP.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks GLUECoS : An Evaluation Benchmark for Code-Switched NLP

Reference 33

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Observation 9e2d0d9c-5099-4bc9-9b55-7ea5eb7517d0 · outbound

This paper cites Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance

Reference 34

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Observation 01b41388-d373-4b0b-85c9-142a915f8291 · outbound

This paper cites Findings of the 2022 conference on machine translation (wmt22).

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Findings of the 2022 conference on machine translation (wmt22)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:53:04.953183Z

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Observation 48e8339c-825c-4f50-9716-6399ee6bf240 · outbound

This paper cites ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning

Reference 36

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Observation e7d01ac5-e043-423f-b082-1d0ffa770502 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 37

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Observation 0ffe8440-3a7c-4c9b-bf52-0e68993e5fb0 · outbound

This paper cites Duie: A large-scale chinese dataset for information extraction.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Duie: A large-scale chinese dataset for information extraction

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:53:04.939102Z

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Observation 482df7e9-2a63-4894-b34d-f6e870048c4f · outbound

This paper cites Duee: a large-scale dataset for chinese event extraction in real-world scenarios.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Duee: a large-scale dataset for chinese event extraction in real-world scenarios

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:53:04.925306Z

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Observation 64fa6216-bc84-41fb-9754-7fca78ced0be · outbound

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

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

Reference 41

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Observation a495aaaf-68ee-4954-9f23-ce7bf7d3cb67 · outbound

This paper cites Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:53:04.342803Z

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Observation 2d555a33-5c84-4172-9380-b88ce6769e1c · outbound

This paper cites Few-shot learning with multilingual generative language models.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Few-shot learning with multilingual generative language models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:53:04.910215Z

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Observation 9232e7b8-cefb-4d15-87a0-4be5646626fe · outbound

This paper cites Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models

Reference 44

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Observation 5b1f8903-a09a-45b9-b9c9-a2c92a65c9d4 · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 45

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Observation 344481cb-4f9d-45be-9254-c8b9d02b6875 · outbound

This paper cites Chain-of-Dictionary Prompting Elicits Translation in Large Language Models.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Chain-of-Dictionary Prompting Elicits Translation in Large Language Models

Reference 46

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Observation 6990ecc1-cb54-44fa-b883-74bbbf6e11f7 · outbound

This paper cites Semeval-2022 task 11: Multilingual complex named entity recognition (multiconer).

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Semeval-2022 task 11: Multilingual complex named entity recognition (multiconer)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:53:04.895650Z

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Observation 44e4ca26-6ff0-485c-a2e8-d1b963bd3064 · outbound

This paper cites Gupshup: Summarizing open-domain code-switched conversations.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Gupshup: Summarizing open-domain code-switched conversations

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:53:04.880017Z

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Observation 84d5d97a-9b52-4d1f-aaf6-17bbbf23a5f9 · outbound

This paper cites Unsupervised Evaluation of Interactive Dialog with DialoGPT.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Unsupervised Evaluation of Interactive Dialog with DialoGPT

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.423554Z

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Observation 35b6e582-fd4c-4ba2-8dd5-4aded4106d50 · outbound

This paper cites Simple LLM Prompting is State-of-the-Art for Robust and Multilingual Dialogue Evaluation.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Simple LLM Prompting is State-of-the-Art for Robust and Multilingual Dialogue Evaluation

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:53:04.267424Z

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Observation 1096c032-836f-4505-851d-84457c7e32f7 · outbound

This paper cites Adaptive Machine Translation with Large Language Models.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Adaptive Machine Translation with Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.433028Z

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Observation 2340aa87-d715-4aa3-87eb-98c29d2560d9 · outbound

This paper cites Crosslingual Generalization through Multitask Finetuning.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Crosslingual Generalization through Multitask Finetuning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.437503Z

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Observation f852df4f-7013-499a-8c19-859959cf7d03 · outbound

This paper cites Decomposed prompting: Unveiling multilingual linguistic structure knowledge in english- centric large language models.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Decomposed prompting: Unveiling multilingual linguistic structure knowledge in english- centric large language models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.441900Z

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Observation 3eb10cbd-8b68-4f66-a2ed-621cf75aaec0 · outbound

This paper cites Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.446309Z

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Observation 2b0f9d60-4eda-49a3-85f8-0a852f8255d8 · outbound

This paper cites Cross-lingual name tagging and linking for 282 languages.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Cross-lingual name tagging and linking for 282 languages

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:53:04.865416Z

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Observation 57e12581-9b1d-406b-ab08-835cf3db5120 · outbound

This paper cites KLUE: Korean Language Understanding Evaluation.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks KLUE: Korean Language Understanding Evaluation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.455242Z

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Observation d89d93c6-e3c8-4418-b299-61a68e806f51 · outbound

This paper cites Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.460025Z

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Observation 04f47e0b-98c2-431d-b24b-9baa36794145 · outbound

This paper cites XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.465193Z

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Observation 4cc60982-7f7b-41f5-a616-4f797690c36d · outbound

This paper cites Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.470352Z

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Observation bb997c01-a9ec-4e80-a62f-52664ee46b18 · outbound

This paper cites Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.480553Z

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Observation 0aba37ce-e899-4b2f-976a-ec56fe3b7b9d · outbound

This paper cites XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:53:03.937402Z

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Observation 38884776-5bee-486e-8cab-9184f5dee4b1 · outbound

This paper cites Leveraging GPT-4 for Automatic Translation Post-Editing.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Leveraging GPT-4 for Automatic Translation Post-Editing

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.489729Z

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Observation 431bbb34-e8c9-4cd4-b386-0c06db2f48e2 · outbound

This paper cites Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:53:03.902065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 195e6b22-c93c-4b95-b1da-14015d6f8f43 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.499660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9347d6b-d983-40b0-bc48-a0ab0f79139f · outbound

This paper cites The Prompt Report: A Systematic Survey of Prompt Engineering Techniques.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.504515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5387d8fb-4d88-4ab5-9faf-4f9bc61b31df · outbound

This paper cites What makes a good conversation? How controllable attributes affect human judgments.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks What makes a good conversation? How controllable attributes affect human judgments

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.509184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8ed1491-33e6-47a8-b1e5-21abc0704ba6 · outbound

This paper cites Mul- tilingual entity and relation extraction dataset and model.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Mul- tilingual entity and relation extraction dataset and model

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:53:04.850675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c15813cf-5791-465b-9e00-9d7bc6575098 · outbound

This paper cites Language Models are Multilingual Chain-of-Thought Reasoners.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Language Models are Multilingual Chain-of-Thought Reasoners

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.517965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb2fc569-a53b-4a1a-8d13-da8ceb8a2a5b · outbound

This paper cites Exploring Prompt Engineering: A Systematic Review with SWOT Analysis.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Exploring Prompt Engineering: A Systematic Review with SWOT Analysis

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.522627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4875012f-521d-442a-96e2-1a95cf0ccc6c · outbound

This paper cites Evaluating Gender Bias in Machine Translation.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Evaluating Gender Bias in Machine Translation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.527400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b11146df-aadb-4bf8-85d0-0cb3b59bf64e · outbound

This paper cites Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.531921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation def54be2-8c40-44dc-a6d4-5c4729c6d665 · outbound

This paper cites Legal Prompt Engineering for Multilingual Legal Judgement Prediction.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Legal Prompt Engineering for Multilingual Legal Judgement Prediction

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.536648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8089bf3a-f275-4d30-8350-ca54057812e9 · outbound

This paper cites A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.541363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de5f9c8c-6705-4c10-a48e-ba1cbbcfa287 · outbound

This paper cites A large-scale chinese short-text conversation dataset.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks A large-scale chinese short-text conversation dataset

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:53:04.822158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d76c43d2-5a23-4dc7-b1c7-f88c1569b533 · outbound

This paper cites CrossWeigh: Training Named Entity Tagger from Imperfect Annotations.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks CrossWeigh: Training Named Entity Tagger from Imperfect Annotations

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:53:03.754648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7557597b-d028-42b1-84c9-520bff793211 · outbound

This paper cites ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.559410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb0c55a9-e1fe-4da6-b945-da3c9907e437 · outbound

This paper cites ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.564101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e98ed535-866d-43b0-b238-35b0562c08ad · outbound

This paper cites mT5: A massively multilingual pre-trained text-to-text transformer.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks mT5: A massively multilingual pre-trained text-to-text transformer

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.569138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89abbadf-a9ef-49b4-87e5-e7797d3b295a · outbound

This paper cites Human-in-the-loop Machine Translation with Large Language Model.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Human-in-the-loop Machine Translation with Large Language Model

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:53:03.688397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c743086-26b8-4b81-acfe-bc26acde07ec · outbound

This paper cites PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.578645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 292d5b62-3cca-4a0b-b6bd-a41c726f63ae · outbound

This paper cites Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.583598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50bcf529-1a46-41db-a937-24b7f7185371 · outbound

This paper cites Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation

Reference 84

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:53:03.633201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 17221ce2-26dd-4293-80cd-a287c8da3bd5 · outbound

This paper cites MLQA: Evaluating Cross-lingual Extractive Question Answering.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks MLQA: Evaluating Cross-lingual Extractive Question Answering

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.374324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46a3b533-c706-491a-89ff-591df61c4e4c · outbound

This paper cites Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.475886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fa85f9a-cfdd-403b-a037-39351dc7ad87 · outbound

This paper cites Ace 2005 multilingual training corpus.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Ace 2005 multilingual training corpus

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:53:04.836209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7b18601d-3c08-4ceb-b7f1-416bc8165bdd · outbound

This paper cites No Language Left Behind: Scaling Human-Centered Machine Translation.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.265247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daba2cd9-9c05-4023-90d4-043bb8fb307f · outbound

This paper cites BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.223854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8726eca3-2f16-4915-af9c-c3eb1295706f · outbound

This paper cites Unsupervised Domain Clusters in Pretrained Language Models.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Unsupervised Domain Clusters in Pretrained Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.203649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0459b793-c1f7-4841-a357-46c1756e2809 · outbound

This paper cites IndicXNLI: Evaluating Multilingual Inference for Indian Languages.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks IndicXNLI: Evaluating Multilingual Inference for Indian Languages

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.192204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8329cb1a-1d53-4fdf-a05e-96a225a2394c · outbound

This paper cites LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:53:04.792816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a66f3841-5e81-4cf3-a11b-f63aef2af67d · outbound

This paper cites TICO-19: the Translation Initiative for Covid-19.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks TICO-19: the Translation Initiative for Covid-19

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.213480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79a52402-cdab-411d-bc6a-92972106c00f · outbound

This paper cites AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:53:04.601390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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