Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis | Paper Citation Record

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This paper cites Program Synthesis with Large Language Models.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Program Synthesis with Large Language Models

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This paper cites COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

Reference 2

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This paper cites L.; Gao, J.; and Choi, Y.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis L.; Gao, J.; and Choi, Y

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Evaluating Large Language Models Trained on Code

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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This paper cites T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step

Reference 7

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This paper cites Instruction Pre-Training: Language Models are Supervised Multitask Learners.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Instruction Pre-Training: Language Models are Supervised Multitask Learners

Reference 8

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This paper cites Adapting Large Language Models to Domains via Reading Comprehension.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Adapting Large Language Models to Domains via Reading Comprehension

Reference 9

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 10

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This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 11

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This paper cites Training Verifiers to Solve Math Word Problems.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Training Verifiers to Solve Math Word Problems

Reference 12

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 13

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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This paper cites Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Reference 15

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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This paper cites I.; Leaman, R.; and Lu, Z.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis I.; Leaman, R.; and Lu, Z

Reference 17

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This paper cites Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models

Reference 18

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis The Llama 3 Herd of Models

Reference 20

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This paper cites L.; Chen, F.; Yao, S.; Hu, R.; Zhu, X.; Smith, J.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis L.; Chen, F.; Yao, S.; Hu, R.; Zhu, X.; Smith, J

Reference 21

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This paper cites InstructIE: A Bilingual Instruction-based Information Extraction Dataset.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis InstructIE: A Bilingual Instruction-based Information Extraction Dataset

Reference 22

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This paper cites IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus

Reference 23

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis M.; and Toldo, L

Reference 24

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis H.; Marcus, M

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention

Reference 32

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis S.; and Zettlemoyer, L

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis P.; Alberti, C.; Epstein, D.; Polosukhin, I.; Devlin, J.; Lee, K.; Toutanova, K.; Jones, L.; Kelcey, M.; Chang, M.; Dai, A

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis CMMLU: Measuring massive multitask language understanding in Chinese

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis L.; Daly, R

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis ADELIE: Aligning Large Language Models on Information Extraction

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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This paper cites GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction

Reference 59

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

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This paper cites an unresolved cited work.

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Reference 65

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Reference 66

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Reference 71

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Large Language Models Are Zero-Shot Text Classifiers

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Reference 76

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Reference 77

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Unavailable: canonical work link unavailable.

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Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-09T00:35:28.515125Z

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Observation 0ecf2619-e02e-4f84-a26f-76f82567d32b · outbound

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Reference 79

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Reference 80

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Automatic Instruction Evolving for Large Language Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-09T00:35:28.528765Z

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Unavailable: canonical work link unavailable.

Observation d8bd1a69-f840-48ba-af4f-9f822cc6dc2c · outbound

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Relation Classification via Recurrent Neural Network

Reference 82

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning

Reference 83

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Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-09T00:35:28.543376Z

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Reference 85

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Observation 25133a51-8999-465d-99a6-7f2a78b69eab · outbound

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 86

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 87

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 88

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Observation bb7b715f-fd4b-4192-bc8f-244ac0585dc1 · outbound

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis , " * write output.state after.block = add.period write newline

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-09T00:35:28.566701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e9b561b-0599-4124-b9a3-0b4d0a0aaeba · outbound

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Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis write newline

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-09T00:35:28.571811Z

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Coverage vector

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Outbound references

Pith citing papers