---
title: "Furu Wei — all works — Elamur Research"
description: "All 97 works of Furu Wei in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/furu-wei/works/"
---
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# Furu Wei — all works

97 works · [← Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/)

1. **[Swin Transformer V2: Scaling Up Capacity and Resolution ↗](https://doi.org/10.1109/cvpr52688.2022.01170) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ze Liu et al.*2022 · 2,584 citations*
2. **[Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks](https://md.research.elamur.ai/free/en/papers/li-2020-oscar-object-semantics-aligned-pre/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Xiujun Li, Xi Yin, Chunyuan Li, et al.*2020 · 1,877 citations*
3. [**Unified Language Model Pre-training for Natural Language Understanding and Generation arXiv:1905.03197**Li Dong, Nan Yang, Wenhui Wang, et al.*2019 · 1,422 citations*](https://md.research.elamur.ai/free/en/papers/dong-2019-unified-language-model-pre-training/)
4. **[Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification](https://md.research.elamur.ai/free/en/papers/tang-2014-learning-sentiment-specific-word-embedding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Duyu Tang, Furu Wei, Nan Yang, et al.*2014 · 1,346 citations*
5. **[Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification](https://md.research.elamur.ai/free/en/papers/dong-2014-adaptive-recursive-neural-network-target/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Li Dong, Furu Wei, Chuanqi Tan, et al.*2014 · 1,217 citations*
6. [**VL-BERT: Pre-training of Generic Visual-Linguistic Representations arXiv:1908.08530**Weijie Su, Xizhou Zhu, Yue Cao, et al.*2019 · 1,066 citations*](https://md.research.elamur.ai/free/en/papers/su-2019-vl-bert-pre-training-generic/)
7. **[A whole-slide foundation model for digital pathology from real-world data ↗](https://doi.org/10.1038/s41586-024-07441-w) Nature · no summary yet**Hanwen Xu et al.*2024 · 904 citations*
8. [**LayoutLM: Pre-training of Text and Layout for Document Image Understanding arXiv:1912.13318**Yiheng Xu, Minghao Li, Lei Cui, et al.*2019 · 896 citations*](https://md.research.elamur.ai/free/en/papers/xu-2019-layoutlm-pre-training-text-layout/)
9. **[Gated Self-Matching Networks for Reading Comprehension and Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2017-gated-self-matching-networks-reading/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenhui Wang, Nan Yang, Furu Wei, et al.*2017 · 833 citations*
10. **[LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking](https://md.research.elamur.ai/free/en/papers/huang-2022-layoutlmv3-pre-training-document-ai/) [ACM International Conference on Multimedia (ACM MM)](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-multimedia-acm-mm/)**Yupan Huang, Tengchao Lv, Lei Cui, et al.*2022 · 778 citations*
11. **[TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models ↗](https://doi.org/10.1609/aaai.v37i11.26538) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Minghao Li et al.*2021 · 668 citations*
12. **[LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding](https://md.research.elamur.ai/free/en/papers/xu-2021-layoutlmv2-multi-modal-pre-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Xu, Yiheng Xu, Tengchao Lv, et al.*2021 · 627 citations*
13. [**Text Embeddings by Weakly-Supervised Contrastive Pre-training arXiv:2212.03533**Liang Wang, Nan Yang, Xiaolong Huang, et al.*2022 · 598 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-text-embeddings-weakly-supervised-contrastive/)
14. **[Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks ↗](https://doi.org/10.1109/cvpr52729.2023.01838) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Wenhui Wang et al.*2023 · 575 citations*
15. **[Knowledge Neurons in Pretrained Transformers ↗](https://aclanthology.org/2022.acl-long.581/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Damai Dai et al.*2022 · 568 citations*
16. **[HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2019-hibert-document-level-pre-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingxing Zhang, Furu Wei, Ming Zhou*2019 · 451 citations*
17. **[Neural Document Summarization by Jointly Learning to Score and Select Sentences](https://md.research.elamur.ai/free/en/papers/zhou-2018-neural-document-summarization-jointly-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingyu Zhou, Nan Yang, Furu Wei, et al.*2018 · 450 citations*
18. **[Improving Text Embeddings with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-improving-text-embeddings-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang Wang, Nan Yang, Xiaolong Huang, et al.*2024 · 437 citations*
19. **[Recognizing Named Entities in Tweets](https://md.research.elamur.ai/free/en/papers/liu-2011-recognizing-named-entities-tweets/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaohua Liu, Shaodian Zhang, Furu Wei, et al.*2011 · 436 citations*
20. [**UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training arXiv:2002.12804**Hangbo Bao, Li Dong, Furu Wei, et al.*2020 · 395 citations*](https://md.research.elamur.ai/free/en/papers/bao-2020-unilmv2-pseudo-masked-language-models/)
21. **[VLMo: Unified Vision-Language Pre-Training with Mixture-Of-Modality-Experts ↗](https://doi.org/10.52202/068431-2384) neural information processing systems · no summary yet**Hangbo Bao et al.*2022 · 385 citations*
22. **[Query2doc: Query Expansion with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-query2doc-query-expansion-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Liang Wang, Nan Yang, Furu Wei*2023 · 354 citations*
23. [**Multilingual E5 Text Embeddings: A Technical Report arXiv:2402.05672**Liang Wang, Nan Yang, Xiaolong Huang, et al.*2024 · 346 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-multilingual-e5-text-embeddings-technical/)
24. **[Selective Encoding for Abstractive Sentence Summarization](https://md.research.elamur.ai/free/en/papers/zhou-2017-selective-encoding-abstractive-sentence-summarization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingyu Zhou, Nan Yang, Furu Wei, et al.*2017 · 330 citations*
25. **[MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers ↗](https://aclanthology.org/2021.findings-acl.188/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Wenhui Wang et al.*2021 · 311 citations*
26. [**Kosmos-2: Grounding Multimodal Large Language Models to the World arXiv:2306.14824**Zhiliang Peng, Wenhui Wang, Li Dong, et al.*2023 · 286 citations*](https://md.research.elamur.ai/free/en/papers/peng-2023-kosmos-2-grounding-multimodal-large/)
27. [**InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training arXiv:2007.07834**Zewen Chi, Li Dong, Furu Wei, et al.*2020 · 275 citations*](https://md.research.elamur.ai/free/en/papers/chi-2020-infoxlm-information-theoretic-framework-cross/)
28. **[Reinforced Mnemonic Reader for Machine Reading Comprehension ↗](https://arxiv.org/abs/1705.02798) arXiv:1705.02798 · no summary yet**Minghao Hu et al.*2017 · 273 citations*
29. **[Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization](https://md.research.elamur.ai/free/en/papers/cao-2018-retrieve-rerank-rewrite-soft-template/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqiang Cao, Wenjie Li, Sujian Li, et al.*2018 · 270 citations*
30. [**Retentive Network: A Successor to Transformer for Large Language Models arXiv:2307.08621**Yutao Sun, Li Dong, Shaohan Huang, et al.*2023 · 265 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-retentive-network-successor-transformer-large/)
31. **[Fine-Tuning LLaMA for Multi-Stage Text Retrieval](https://md.research.elamur.ai/free/en/papers/ma-2023-fine-tuning-llama-multi-stage/) [International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/)**Xueguang Ma, Liang Wang, Nan Yang, et al.*2023 · 257 citations*
32. **[Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers](https://md.research.elamur.ai/free/en/papers/dai-2023-why-can-gpt-learn-context/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Damai Dai, Yutao Sun, Li Dong, et al.*2023 · 257 citations*
33. **[InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training ↗](https://aclanthology.org/2021.naacl-main.280/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Zewen Chi et al.*2021 · 256 citations*
34. **[Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization ↗](https://doi.org/10.1609/aaai.v29i1.9490) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Ziqiang Cao et al.*2015 · 255 citations*
35. **[DocBank: A Benchmark Dataset for Document Layout Analysis ↗](https://aclanthology.org/2020.coling-main.82/) Proceedings of the 28th International Conference on Computational Linguistics · no summary yet**Minghao Li et al.*2020 · 254 citations*
36. **[Self-Attention Attribution: Interpreting Information Interactions Inside Transformer ↗](https://doi.org/10.1609/aaai.v35i14.17533) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yaru Hao et al.*2021 · 243 citations*
37. **[BERT-of-Theseus: Compressing BERT by Progressive Module Replacing](https://md.research.elamur.ai/free/en/papers/xu-2020-bert-theseus-compressing-bert-progressive/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Canwen Xu, Wangchunshu Zhou, Tao Ge, et al.*2020 · 240 citations*
38. [**Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting arXiv:2305.07004**Haoyang Huang, Tianyi Tang, Dongdong Zhang, et al.*2023 · 224 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-all-languages-created-equal-llms/)
39. **[Visualizing and Understanding the Effectiveness of BERT](https://md.research.elamur.ai/free/en/papers/hao-2019-visualizing-understanding-effectiveness-bert/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yaru Hao, Li Dong, Furu Wei, et al.*2019 · 222 citations*
40. **[Neural Latent Extractive Document Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-latent-extractive-document-summarization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xingxing Zhang, Mirella Lapata, Furu Wei, et al.*2018 · 220 citations*
41. **[DiT: Self-supervised Pre-training for Document Image Transformer ↗](https://doi.org/10.1145/3503161.3547911) ACM International Conference on Multimedia (ACM MM) · no summary yet**Junlong Li et al.*2022 · 214 citations*
42. **[PromptBERT: Improving BERT Sentence Embeddings with Prompts ↗](https://aclanthology.org/2022.emnlp-main.603/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ting Jiang et al.*2022 · 198 citations*
43. **[Neural Open Information Extraction](https://md.research.elamur.ai/free/en/papers/cui-2018-neural-open-information-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lei Cui, Furu Wei, Ming Zhou*2018 · 188 citations*
44. [**Generative Representational Instruction Tuning arXiv:2402.09906**Niklas Muennighoff, Hongjin Su, Liang Wang, et al.*2024 · 172 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2024-generative-representational-instruction-tuning/)
45. **[Fluency Boost Learning and Inference for Neural Grammatical Error Correction ↗](https://aclanthology.org/P18-1097/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Tao Ge, Furu Wei, Ming Zhou*2018 · 163 citations*
46. **[Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models](https://md.research.elamur.ai/free/en/papers/tang-2024-language-specific-neurons-key-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyi Tang, Wenyang Luo, Haoyang Huang, et al.*2024 · 156 citations*
47. **[Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph ↗](https://aclanthology.org/2020.emnlp-main.54/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Haozhe Ji et al.*2020 · 145 citations*
48. [**MiniLLM: On-Policy Distillation of Large Language Models arXiv:2306.08543**Yuxian Gu, Li Dong, Furu Wei, et al.*2023 · 144 citations*](https://md.research.elamur.ai/free/en/papers/gu-2023-minillm-policy-distillation-large-language/)
49. [**Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration arXiv:2307.05300**Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al.*2023 · 140 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-unleashing-emergent-cognitive-synergy-large/)
50. **[BERT-based Lexical Substitution ↗](https://aclanthology.org/P19-1328/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Wangchunshu Zhou et al.*2019 · 140 citations*
51. **[Augmenting Language Models with Long-Term Memory ↗](https://arxiv.org/abs/2306.07174) arXiv:2306.07174 · no summary yet**Weizhi Wang et al.*2023 · 135 citations*
52. **[Controllable Natural Language Generation with Contrastive Prefixes](https://md.research.elamur.ai/free/en/papers/qian-2022-controllable-natural-language-generation-contrastive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jing Qian, Li Dong, Yelong Shen, et al.*2022 · 130 citations*
53. **[XLM-E: Cross-lingual Language Model Pre-training via ELECTRA](https://md.research.elamur.ai/free/en/papers/chi-2022-xlm-e-cross-lingual-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zewen Chi, Shaohan Huang, Li Dong, et al.*2022 · 127 citations*
54. **[Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study ↗](https://arxiv.org/abs/1807.01270) arXiv:1807.01270 · no summary yet**Tao Ge, Furu Wei, Ming Zhou*2018 · 127 citations*
55. **[CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment ↗](https://aclanthology.org/2022.acl-long.421/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Haoyu Song et al.*2022 · 120 citations*
56. **[A Length-Extrapolatable Transformer](https://md.research.elamur.ai/free/en/papers/sun-2023-length-extrapolatable-transformer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yutao Sun, Li Dong, Barun Patra, et al.*2023 · 118 citations*
57. **[In-context Autoencoder for Context Compression in a Large Language Model ↗](https://arxiv.org/abs/2307.06945) arXiv:2307.06945 · no summary yet**Tao Ge et al.*2023 · 114 citations*
58. **[THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption ↗](https://aclanthology.org/2022.findings-acl.277/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Tianyu Chen et al.*2022 · 107 citations*
59. **[Learning to Retrieve In-Context Examples for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-learning-retrieve-context-examples-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Liang Wang, Nan Yang, Furu Wei*2024 · 106 citations*
60. **[SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval](https://md.research.elamur.ai/free/en/papers/wang-2023-simlm-pre-training-representation-bottleneck/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang Wang, Nan Yang, Xiaolong Huang, et al.*2023 · 106 citations*
61. **[Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation](https://md.research.elamur.ai/free/en/papers/xia-2023-speculative-decoding-exploiting-speculative-execution/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Heming Xia, Tao Ge, Peiyi Wang, et al.*2023 · 103 citations*
62. **[XFUND: A Benchmark Dataset for Multilingual Visually Rich Form Understanding ↗](https://aclanthology.org/2022.findings-acl.253/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Yiheng Xu et al.*2022 · 101 citations*
63. **[LayoutReader: Pre-training of Text and Layout for Reading Order Detection ↗](https://aclanthology.org/2021.emnlp-main.389/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zilong Wang et al.*2021 · 101 citations*
64. **[WavLLM: Towards Robust and Adaptive Speech Large Language Model ↗](https://aclanthology.org/2024.findings-emnlp.263/) Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yet**Shujie Hu et al.*2024 · 98 citations*
65. **[mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs ↗](https://aclanthology.org/2021.emnlp-main.125/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zewen Chi et al.*2021 · 91 citations*
66. **[Attention-Guided Answer Distillation for Machine Reading Comprehension ↗](https://aclanthology.org/D18-1232/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Minghao Hu et al.*2018 · 87 citations*
67. **[MathScale: Scaling Instruction Tuning for Mathematical Reasoning ↗](https://arxiv.org/abs/2403.02884) arXiv:2403.02884 · no summary yet**Zhengyang Tang et al.*2024 · 83 citations*
68. **[Chain-of-Dictionary Prompting Elicits Translation in Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2024-chain-dictionary-prompting-elicits-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hongyuan Lu, Haoran Yang, Haoyang Huang, et al.*2024 · 81 citations*
69. **[Calibrating LLM-Based Evaluator](https://md.research.elamur.ai/free/en/papers/liu-2024-calibrating-llm-based-evaluator/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yuxuan Liu, Tianchi Yang, Shaohan Huang, et al.*2024 · 71 citations*
70. **[Language Models as Inductive Reasoners](https://md.research.elamur.ai/free/en/papers/yang-2024-language-models-as-inductive-reasoners/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zonglin Yang, Li Dong, Xinya Du, et al.*2024 · 70 citations*
71. **[Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models ↗](https://arxiv.org/abs/2402.13064) arXiv:2402.13064 · no summary yet**Haoran Li et al.*2024 · 65 citations*
72. **[Reasoning with Exploration: An Entropy Perspective ↗](https://arxiv.org/abs/2506.14758) arXiv:2506.14758 · no summary yet**Daixuan Cheng et al.*2025 · 63 citations*
73. **[Improving Grammatical Error Correction with Machine Translation Pairs ↗](https://aclanthology.org/2020.findings-emnlp.30/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Wangchunshu Zhou et al.*2020 · 63 citations*
74. **[Syllogistic Reasoning for Legal Judgment Analysis ↗](https://aclanthology.org/2023.emnlp-main.864/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Wentao Deng et al.*2023 · 60 citations*
75. **[Instruction Pre-Training: Language Models are Supervised Multitask Learners](https://md.research.elamur.ai/free/en/papers/cheng-2024-instruction-pre-training-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Daixuan Cheng, Yuxian Gu, Shaohan Huang, et al.*2024 · 59 citations*
76. **[Formality Style Transfer with Hybrid Textual Annotations ↗](https://arxiv.org/abs/1903.06353) arXiv:1903.06353 · no summary yet**Ruochen Xu, Tao Ge, Furu Wei*2019 · 54 citations*
77. [**PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training arXiv:2309.10400**Dawei Zhu, Nan Yang, Liang Wang, et al.*2023 · 52 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-pose-efficient-context-window/)
78. **[LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models ↗](https://arxiv.org/abs/2404.01230) arXiv:2404.01230 · no summary yet**Yadong Zhang et al.*2024 · 44 citations*
79. **[Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/yang-2025-towards-thinking-optimal-scaling-test/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Wenkai Yang, Shuming Ma, Yankai Lin, et al.*2025 · 43 citations*
80. **[LongEmbed: Extending Embedding Models for Long Context Retrieval](https://md.research.elamur.ai/free/en/papers/zhu-2024-longembed-extending-embedding-models-long/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Dawei Zhu, Liang Wang, Nan Yang, et al.*2024 · 37 citations*
81. **[On-Policy Context Distillation for Language Models ↗](https://arxiv.org/abs/2602.12275) arXiv:2602.12275 · no summary yet**Tianzhu Ye et al.*2026 · 36 citations*
82. **[Adapting Large Language Models to Domains via Reading Comprehension ↗](https://arxiv.org/abs/2309.09530) arXiv:2309.09530 · no summary yet**Daixuan Cheng, Shaohan Huang, Furu Wei*2023 · 33 citations*
83. **[Dictionary-Guided Editing Networks for Paraphrase Generation ↗](https://arxiv.org/abs/1806.08077) arXiv:1806.08077 · no summary yet**Shaohan Huang et al.*2018 · 29 citations*
84. **[Autoregressive Speech Synthesis without Vector Quantization](https://md.research.elamur.ai/free/en/papers/meng-2025-autoregressive-speech-synthesis-without-vector/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lingwei Meng, Long Zhou, Shujie Liu, et al.*2025 · 25 citations*
85. **[Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting ↗](https://arxiv.org/abs/1909.06002) arXiv:1909.06002 · no summary yet**Yi Zhang et al.*2019 · 24 citations*
86. **[Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective](https://md.research.elamur.ai/free/en/papers/yu-2025-chain-reasoning-unified-mathematical-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiyao Yu, Yuxiang Zhang, Dongdong Zhang, et al.*2025 · 23 citations*
87. **[MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/zhao-2025-mmlu-cf-contamination-free-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qihao Zhao, Yangyu Huang, Tengchao Lv, et al.*2025 · 21 citations*
88. [**Preference Optimization for Reasoning with Pseudo Feedback arXiv:2411.16345**Fangkai Jiao, Geyang Guo, Xingxing Zhang, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/jiao-2024-preference-optimization-reasoning-pseudo-feedback/)
89. **[Examining False Positives under Inference Scaling for Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2025-examining-false-positives-under-inference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yu Wang, Nan Yang, Liang Wang, et al.*2025 · 9 citations*
90. **[ALYMPICS: LLM Agents Meet Game Theory](https://md.research.elamur.ai/free/en/papers/mao-2025-alympics-llm-agents-meet-game/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Shaoguang Mao, Yuzhe Cai, Yan Xia, et al.*2025 · 7 citations*
91. **[ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Multilingual Contrastive Framework](https://md.research.elamur.ai/free/en/papers/zhang-2025-shifcon-enhancing-non-dominant-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hengyuan Zhang, Chenming Shang, Sizhe Wang, et al.*2025 · 6 citations*
92. **[When an Image is Worth 1,024 x 1,024 Words: A Case Study in Computational Pathology ↗](https://arxiv.org/abs/2312.03558) arXiv (Cornell University) · no summary yet**Wenhui Wang et al.*2023 · 5 citations*
93. **[Rectified Sparse Attention for Efficient Long-Sequence Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-rectified-sparse-attention-efficient-long/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yutao Sun, Tianzhu Ye, Li Dong, et al.*2026 · 1 citation*
94. **[Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/zhang-2026-stable-effective-reinforcement-learning-mixture/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Di Zhang, Xun Wu, Shaohan Huang, et al.*2026 · 1 citation*
95. **[Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-refine-self-refinement-parallel/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qibin Wang, Pu Zhao, Shaohan Huang, et al.*2026*
96. **[Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations](https://md.research.elamur.ai/free/en/papers/luo-2026-two-pathways-truthfulness-intrinsic-encoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wen Luo, Guangyue Peng, Wei Li, et al.*2026*
97. **[Shorten After You're Right: Lazy Length Penalties for Reasoning RL ↗](https://aclanthology.org/2026.findings-acl.626/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Danlong Yuan et al.*2026*