---
title: "Jianfeng Gao — all works — Elamur Research"
description: "All 104 works of Jianfeng Gao in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Jianfeng Gao — all works

104 works · page 1 of 2 · 1–100 · [← Jianfeng Gao](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/)

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1. **[A Diversity-Promoting Objective Function for Neural Conversation Models](https://md.research.elamur.ai/free/en/papers/li-2016-diversity-promoting-objective-function-neural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jiwei Li, Michel Galley, Chris Brockett, et al.*2016 · 2,960 citations*
2. [**Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575**Bishan Yang, Wen-tau Yih, Xiaodong He, et al.*2014 · 2,370 citations*](https://md.research.elamur.ai/free/en/papers/yang-2014-embedding-entities-relations-learning-inference/)
3. **[Stacked Attention Networks for Image Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2015-stacked-attention-networks-image-question/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Zichao Yang, Xiaodong He, Jianfeng Gao, et al.*2015 · 2,157 citations*
4. **[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*
5. [**DeBERTa: Decoding-enhanced BERT with Disentangled Attention arXiv:2006.03654**Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.*2020 · 1,828 citations*](https://md.research.elamur.ai/free/en/papers/he-2020-deberta-decoding-enhanced-bert-disentangled/)
6. **[Deep Learning — based Text Classification ↗](https://doi.org/10.1145/3439726) ACM Computing Surveys · no summary yet**Shervin Minaee et al.*2021 · 1,544 citations*
7. **[Multi-Task Deep Neural Networks for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/liu-2019-multi-task-deep-neural-networks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaodong Liu, Pengcheng He, Weizhu Chen, et al.*2019 · 1,524 citations*
8. **[Deep Reinforcement Learning for Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2016-deep-reinforcement-learning-dialogue-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Will Monroe, Alan Ritter, et al.*2016 · 1,502 citations*
9. **[From Captions to Visual Concepts and Back](https://md.research.elamur.ai/free/en/papers/fang-2014-captions-visual-concepts-back/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Hao Fang, Saurabh Gupta, Forrest Iandola, et al.*2014 · 1,450 citations*
10. [**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/)
11. [**DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing arXiv:2111.09543**Pengcheng He, Jianfeng Gao, Weizhu Chen*2021 · 1,320 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-debertav3-improving-deberta-using-electra/)
12. **[PIQA: Reasoning about Physical Commonsense in Natural Language](https://md.research.elamur.ai/free/en/papers/bisk-2019-piqa-reasoning-about-physical-commonsense/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Yonatan Bisk, Rowan Zellers, Ronan Le Bras, et al.*2019 · 1,264 citations*
13. [**MS MARCO: A Human Generated MAchine Reading COmprehension Dataset arXiv:1611.09268**Payal Bajaj, Daniel Campos, Nick Craswell, et al.*2016 · 1,138 citations*](https://md.research.elamur.ai/free/en/papers/bajaj-2016-ms-marco-human-generated/)
14. **[Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base](https://md.research.elamur.ai/free/en/papers/yih-2015-semantic-parsing-staged-query-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wen-tau Yih, Ming-Wei Chang, Xiaodong He, et al.*2015 · 966 citations*
15. **[The Design and Implementation of XiaoIce, an Empathetic Social Chatbot](https://md.research.elamur.ai/free/en/papers/zhou-2018-design-implementation-xiaoice-empathetic-social/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Li Zhou, Jianfeng Gao, Di Li, et al.*2018 · 872 citations*
16. **[Domain Adaptation via Pseudo In-Domain Data Selection](https://md.research.elamur.ai/free/en/papers/axelrod-2011-domain-adaptation-pseudo-domain-data/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Amittai Axelrod, Xiaodong He, Jianfeng Gao*2011 · 775 citations*
17. [**DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation arXiv:1911.00536**Yizhe Zhang, Siqi Sun, Michel Galley, et al.*2019 · 696 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-dialogpt-large-scale-generative-pre/)
18. **[LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day](https://md.research.elamur.ai/free/en/papers/li-2023-llava-med-training-large-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Chunyuan Li, Cliff Wong, Sheng Zhang, et al.*2023 · 692 citations*
19. [**Instruction Tuning with GPT-4 arXiv:2304.03277**Baolin Peng, Chunyuan Li, Pengcheng He, et al.*2023 · 662 citations*](https://md.research.elamur.ai/free/en/papers/peng-2023-instruction-tuning-gpt-4/)
20. **[MIND: A Large-scale Dataset for News Recommendation](https://md.research.elamur.ai/free/en/papers/wu-2020-mind-large-scale-dataset-news/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, et al.*2020 · 564 citations*
21. [**Large Language Models: A Survey arXiv:2402.06196**Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.*2024 · 471 citations*](https://md.research.elamur.ai/free/en/papers/minaee-2024-large-language-models-survey/)
22. **[Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval](https://md.research.elamur.ai/free/en/papers/liu-2015-representation-learning-multi-task-deep/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al.*2015 · 471 citations*
23. [**MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts arXiv:2310.02255**Pan Lu, Hritik Bansal, Tony Xia, et al.*2023 · 468 citations*](https://md.research.elamur.ai/free/en/papers/lu-2023-mathvista-evaluating-mathematical-reasoning-foundation/)
24. [**A Persona-Based Neural Conversation Model arXiv:1603.06155**Jiwei Li, Michel Galley, Chris Brockett, et al.*2016 · 462 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-persona-based-neural-conversation-model/)
25. [**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/)
26. [**Evaluation of Text Generation: A Survey arXiv:2006.14799**Asli Celikyilmaz, Elizabeth Clark, Jianfeng Gao*2020 · 388 citations*](https://md.research.elamur.ai/free/en/papers/celikyilmaz-2020-evaluation-text-generation-survey/)
27. [**ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension arXiv:1810.12885**Sheng Zhang, Xiaodong Liu, Jingjing Liu, et al.*2018 · 388 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-record-bridging-gap-between-human/)
28. [**Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback arXiv:2302.12813**Baolin Peng, Michel Galley, Pengcheng He, et al.*2023 · 363 citations*](https://md.research.elamur.ai/free/en/papers/peng-2023-check-facts-try-again-improving/)
29. **[Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access](https://md.research.elamur.ai/free/en/papers/dhingra-2017-end-end-reinforcement-learning-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bhuwan Dhingra, Lihong Li, Xiujun Li, et al.*2017 · 350 citations*
30. [**A Neural Network Approach to Context-Sensitive Generation of Conversational Responses arXiv:1506.06714**Alessandro Sordoni, Michel Galley, Michael Auli, et al.*2015 · 329 citations*](https://md.research.elamur.ai/free/en/papers/sordoni-2015-neural-network-approach-context-sensitive/)
31. **[Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2023-chameleon-plug-play-compositional-reasoning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Pan Lu, Baolin Peng, Hao Cheng, et al.*2023 · 327 citations*
32. **[SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization](https://md.research.elamur.ai/free/en/papers/jiang-2020-smart-robust-efficient-fine-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoming Jiang, Pengcheng He, Weizhu Chen, et al.*2020 · 304 citations*
33. **[Neural Approaches to Conversational AI ↗](https://arxiv.org/abs/1809.08267) arXiv:1809.08267 · no summary yet**Jianfeng Gao, Michel Galley, Lihong Li*2018 · 286 citations*
34. **[A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs ↗](https://doi.org/10.1056/aioa2400640) NEJM AI · no summary yet**Sheng Zhang et al.*2024 · 280 citations*
35. **[Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing ↗](https://aclanthology.org/N19-1021/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Hao Fu et al.*2019 · 280 citations*
36. **[Segment Everything Everywhere All at Once ↗](https://doi.org/10.52202/075280-0868) neural information processing systems · no summary yet**Xueyan Zou et al.*2023 · 279 citations*
37. **[Few-shot Natural Language Generation for Task-Oriented Dialog](https://md.research.elamur.ai/free/en/papers/peng-2020-few-shot-natural-language-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Baolin Peng, Chenguang Zhu, Chunyuan Li, et al.*2020 · 256 citations*
38. **[Stochastic Answer Networks for Machine Reading Comprehension ↗](https://aclanthology.org/P18-1157/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xiaodong Liu et al.*2018 · 251 citations*
39. **[Understanding the Difficulty of Training Transformers](https://md.research.elamur.ai/free/en/papers/liu-2020-understanding-difficulty-training-transformers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Liyuan Liu, Xiaodong Liu, Jianfeng Gao, et al.*2020 · 231 citations*
40. **[Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning ↗](https://aclanthology.org/P18-1203/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Baolin Peng et al.*2018 · 230 citations*
41. **[Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning ↗](https://aclanthology.org/D17-1237/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Baolin Peng et al.*2017 · 228 citations*
42. **[Deep Reinforcement Learning with a Natural Language Action Space ↗](https://aclanthology.org/P16-1153/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Ji He et al.*2016 · 223 citations*
43. **[Focal Modulation Networks ↗](https://doi.org/10.52202/068431-0304) neural information processing systems · no summary yet**Jianwei Yang et al.*2022 · 214 citations*
44. **[Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space](https://md.research.elamur.ai/free/en/papers/li-2020-optimus-organizing-sentences-pre-trained/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chunyuan Li, Xiang Gao, Yuan Li, et al.*2020 · 208 citations*
45. **[PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking ↗](https://aclanthology.org/2020.emnlp-main.349/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Hannah Rashkin et al.*2020 · 207 citations*
46. **[Using Contextual Speller Techniques and Language Modeling for ESL Error Correction](https://md.research.elamur.ai/free/en/papers/gamon-2008-contextual-speller-techniques-language-modeling/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Michael Gamon, Jianfeng Gao, Chris Brockett, et al.*2008 · 204 citations*
47. [**Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs arXiv:2310.01801**Suyu Ge, Yunan Zhang, Liyuan Liu, et al.*2023 · 202 citations*](https://md.research.elamur.ai/free/en/papers/ge-2023-model-tells-discard-adaptive-kv/)
48. **[Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation](https://md.research.elamur.ai/free/en/papers/mostafazadeh-2017-image-grounded-conversations-multimodal-context/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Nasrin Mostafazadeh, Chris Brockett, Bill Dolan, et al.*2017 · 199 citations*
49. **[Fine-tuning large neural language models for biomedical natural language processing ↗](https://doi.org/10.1016/j.patter.2023.100729) Patterns · no summary yet**Robert Tinn et al.*2021 · 198 citations*
50. [**Generation-Augmented Retrieval for Open-domain Question Answering arXiv:2009.08553**Yuning Mao, Pengcheng He, Xiaodong Liu, et al.*2020 · 151 citations*](https://md.research.elamur.ai/free/en/papers/mao-2020-generation-augmented-retrieval-open-domain/)
51. **[A Nested Attention Neural Hybrid Model for Grammatical Error Correction ↗](https://aclanthology.org/P17-1070/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jianshu Ji et al.*2017 · 151 citations*
52. **[Adversarial Training for Large Neural Language Models ↗](https://arxiv.org/abs/2004.08994) arXiv (Cornell University) · no summary yet**Xiaodong Liu et al.*2020 · 148 citations*
53. **[End-to-End Task-Completion Neural Dialogue Systems](https://md.research.elamur.ai/free/en/papers/li-2017-end-end-task-completion-neural/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Xiujun Li, Yun-Nung Chen, Lihong Li, et al.*2017 · 146 citations*
54. **[Generation-Augmented Retrieval for Open-Domain Question Answering ↗](https://aclanthology.org/2021.acl-long.316/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Yuning Mao et al.*2021 · 145 citations*
55. **[HittER: Hierarchical Transformers for Knowledge Graph Embeddings ↗](https://aclanthology.org/2021.emnlp-main.812/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Sanxing Chen et al.*2021 · 141 citations*
56. **[Few-Shot Named Entity Recognition: An Empirical Baseline Study ↗](https://aclanthology.org/2021.emnlp-main.813/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jiaxin Huang et al.*2021 · 140 citations*
57. **[Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading ↗](https://aclanthology.org/P19-1539/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Lianhui Qin et al.*2019 · 138 citations*
58. [**Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V arXiv:2310.11441**Jianwei Yang, Hao Zhang, Feng Li, et al.*2023 · 137 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-set-mark-prompting-unleashes-extraordinary/)
59. **[Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog ↗](https://aclanthology.org/P19-1648/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Zhe Gan et al.*2019 · 136 citations*
60. **[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*
61. **[AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning](https://md.research.elamur.ai/free/en/papers/wang-2022-adamix-mixture-adaptations-parameter-efficient/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, et al.*2022 · 135 citations*
62. [**deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets arXiv:1506.06863**Michel Galley, Chris Brockett, Alessandro Sordoni, et al.*2015 · 135 citations*](https://md.research.elamur.ai/free/en/papers/galley-2015-deltableu-discriminative-metric-generation-tasks/)
63. **[GO FIGURE: A Meta Evaluation of Factuality in Summarization](https://md.research.elamur.ai/free/en/papers/gabriel-2021-go-figure-meta-evaluation-factuality/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, et al.*2021 · 130 citations*
64. **[ConvLab: Multi-Domain End-to-End Dialog System Platform ↗](https://aclanthology.org/P19-3011/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations · no summary yet**Sungjin Lee et al.*2019 · 126 citations*
65. **[How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN](https://md.research.elamur.ai/free/en/papers/mccoy-2023-how-much-do-language-models/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**R. Thomas McCoy, Paul Smolensky, Tal Linzen, et al.*2023 · 117 citations*
66. **[Jointly Optimizing Diversity and Relevance in Neural Response Generation ↗](https://aclanthology.org/N19-1125/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Xiang Gao et al.*2019 · 117 citations*
67. **[Robust Navigation with Language Pretraining and Stochastic Sampling ↗](https://aclanthology.org/D19-1159/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Xiujun Li et al.*2019 · 116 citations*
68. **[ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems ↗](https://aclanthology.org/2020.acl-demos.19/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations · no summary yet**Qi Zhu et al.*2020 · 112 citations*
69. **[Discourse-Aware Neural Rewards for Coherent Text Generation ↗](https://aclanthology.org/N18-1016/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yet**Antoine Bosselut et al.*2018 · 111 citations*
70. **[Smoothing clickthrough data for web search ranking ↗](https://doi.org/10.1145/1571941.1572003) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Jianfeng Gao et al.*2009 · 98 citations*
71. **[Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning ↗](https://aclanthology.org/D18-1416/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Shang-Yu Su et al.*2018 · 92 citations*
72. **[Reinforcement Learning for Reasoning in Large Language Models with One Training Example](https://md.research.elamur.ai/free/en/papers/wang-2025-reinforcement-learning-reasoning-large-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yiping Wang, Qing Yang, Zhiyuan Zeng, et al.*2025 · 87 citations*
73. [**Rethinking Interpretability in the Era of Large Language Models arXiv:2402.01761**Chandan Singh, Jeevana Priya Inala, Michel Galley, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/singh-2024-rethinking-interpretability-era-large-language/)
74. **[Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-self-checker-plug-play-modules/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Miaoran Li, Baolin Peng, Michel Galley, et al.*2024 · 87 citations*
75. [**Is Self-Repair a Silver Bullet for Code Generation? arXiv:2306.09896**Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, et al.*2024 · 82 citations*](https://md.research.elamur.ai/free/en/papers/olausson-2024-self-repair-silver-bullet-code/)
76. **[Adversarial Domain Adaptation for Machine Reading Comprehension ↗](https://aclanthology.org/D19-1254/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Huazheng Wang et al.*2019 · 78 citations*
77. **[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*
78. **[A Web-based English Proofing System for English as a Second Language Users ↗](https://aclanthology.org/I08-2082/) Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-II · no summary yet**Xing Yi, Jianfeng Gao, William B. Dolan*2008 · 68 citations*
79. **[Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads ↗](https://aclanthology.org/D16-1189/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ji He et al.*2016 · 66 citations*
80. **[K-LITE: Learning Transferable Visual Models with External Knowledge ↗](https://doi.org/10.52202/068431-1132) neural information processing systems · no summary yet**Sheng Shen et al.*2022 · 61 citations*
81. **[The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding ↗](https://aclanthology.org/2020.acl-demos.16/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations · no summary yet**Xiaodong Liu et al.*2020 · 56 citations*
82. **[Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning ↗](https://arxiv.org/abs/2208.14565) arXiv (Cornell University) · no summary yet**Sheng Zhang et al.*2022 · 54 citations*
83. **[Data Augmentation for Abstractive Query-Focused Multi-Document Summarization ↗](https://doi.org/10.1609/aaai.v35i15.17611) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Ramakanth Pasunuru et al.*2021 · 54 citations*
84. **[EmailSum: Abstractive Email Thread Summarization ↗](https://aclanthology.org/2021.acl-long.537/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Shiyue Zhang et al.*2021 · 54 citations*
85. [**Self-Verification Improves Few-Shot Clinical Information Extraction arXiv:2306.00024 · IMLH 2023**Zelalem Gero, Chandan Singh, Hao Cheng, et al.*2023 · 51 citations*](https://md.research.elamur.ai/free/en/papers/gero-2023-self-verification-improves-few-shot/)
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87. **[Compressing Trigram Language Models With Golomb Coding ↗](https://aclanthology.org/D07-1021/) Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) · no summary yet**Kenneth Church, Ted Hart, Jianfeng Gao*2007 · 42 citations*
88. **[Dialog System Technology Challenge 7 ↗](https://arxiv.org/abs/1901.03461) arXiv (Cornell University) · no summary yet**Koichiro Yoshino et al.*2019 · 40 citations*
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