---
title: "Jiwei Li — all works — Elamur Research"
description: "All 42 works of Jiwei Li 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/jiwei-li/works/"
---
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# Jiwei Li — all works

42 works · [← Jiwei Li](https://md.research.elamur.ai/free/en/authors/jiwei-li/)

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. **[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*
3. **[Adversarial Learning for Neural Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2017-adversarial-learning-neural-dialogue-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Will Monroe, Tianlin Shi, et al.*2017 · 1,063 citations*
4. **[Visualizing and Understanding Neural Models in NLP](https://md.research.elamur.ai/free/en/papers/li-2016-visualizing-understanding-neural-models-nlp/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jiwei Li, Xinlei Chen, Eduard Hovy, et al.*2016 · 855 citations*
5. **[A Unified MRC Framework for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/li-2020-unified-mrc-framework-named-entity/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoya Li, Jingrong Feng, Yuxian Meng, et al.*2020 · 840 citations*
6. **[Dice Loss for Data-imbalanced NLP Tasks](https://md.research.elamur.ai/free/en/papers/li-2020-dice-loss-data-imbalanced-nlp/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoya Li, Xiaofei Sun, Yuxian Meng, et al.*2020 · 735 citations*
7. **[Understanding Neural Networks through Representation Erasure ↗](https://arxiv.org/abs/1612.08220) arXiv (Cornell University) · no summary yet**Jiwei Li, Monroe, Will, Dan Jurafsky*2016 · 595 citations*
8. **[Instruction Tuning for Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/zhang-2023-instruction-tuning-large-language-models/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Shengyu Zhang, Linfeng Dong, Xiaoya Li, et al.*2023 · 520 citations*
9. [**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/)
10. **[Entity-Relation Extraction as Multi-Turn Question Answering](https://md.research.elamur.ai/free/en/papers/li-2019-entity-relation-extraction-as-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoya Li, Fan Yin, Zijun Sun, et al.*2019 · 443 citations*
11. **[GPT-NER: Named Entity Recognition via Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-gpt-ner-named-entity-recognition/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuhe Wang, Xiaofei Sun, Xiaoya Li, et al.*2025 · 436 citations*
12. **[Do Multi-Sense Embeddings Improve Natural Language Understanding?](https://md.research.elamur.ai/free/en/papers/li-2015-do-multi-sense-embeddings-improve/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Dan Jurafsky*2015 · 304 citations*
13. **[Text Classification via Large Language Models](https://md.research.elamur.ai/free/en/papers/sun-2023-text-classification-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaofei Sun, Xiaoya Li, Jiwei Li, et al.*2023 · 292 citations*
14. [**A Hierarchical Neural Autoencoder for Paragraphs and Documents arXiv:1506.01057**Jiwei Li, Minh-Thang Luong, Dan Jurafsky*2015 · 287 citations*](https://md.research.elamur.ai/free/en/papers/li-2015-hierarchical-neural-autoencoder-paragraphs-documents/)
15. **[A Simple, Fast Diverse Decoding Algorithm for Neural Generation ↗](https://arxiv.org/abs/1611.08562) arXiv (Cornell University) · no summary yet**Jiwei Li, Monroe, Will, Dan Jurafsky*2016 · 284 citations*
16. **[Data Noising as Smoothing in Neural Network Language Models ↗](https://arxiv.org/abs/1703.02573) arXiv (Cornell University) · no summary yet**Ziang Xie et al.*2017 · 269 citations*
17. **[When Are Tree Structures Necessary for Deep Learning of Representations?](https://md.research.elamur.ai/free/en/papers/li-2015-when-are-tree-structures-necessary/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Thang Luong, Dan Jurafsky, et al.*2015 · 267 citations*
18. **[CorefQA: Coreference Resolution as Query-based Span Prediction](https://md.research.elamur.ai/free/en/papers/wu-2020-corefqa-coreference-resolution-as-query/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei Wu, Fei Wang, Arianna Yuan, et al.*2020 · 256 citations*
19. **[GPT-RE: In-context Learning for Relation Extraction using Large Language Models](https://md.research.elamur.ai/free/en/papers/wan-2023-gpt-re-context-learning-relation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhen Wan, Fei Cheng, Zhuoyuan Mao, et al.*2023 · 253 citations*
20. **[ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information ↗](https://aclanthology.org/2021.acl-long.161/) 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**Zijun Sun et al.*2021 · 242 citations*
21. **[BertGCN: Transductive Text Classification by Combining GNN and BERT ↗](https://aclanthology.org/2021.findings-acl.126/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Yuxiao Lin et al.*2021 · 240 citations*
22. **[Recursive Deep Models for Discourse Parsing](https://md.research.elamur.ai/free/en/papers/li-2014-recursive-deep-models-discourse-parsing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Rumeng Li, Eduard Hovy*2014 · 206 citations*
23. **[Is Word Segmentation Necessary for Deep Learning of Chinese Representations? ↗](https://aclanthology.org/P19-1314/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Xiaoya Li et al.*2019 · 176 citations*
24. **[Neural Net Models of Open-domain Discourse Coherence](https://md.research.elamur.ai/free/en/papers/li-2017-neural-net-models-open-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Dan Jurafsky*2017 · 147 citations*
25. **[Mutual Information and Diverse Decoding Improve Neural Machine Translation ↗](https://arxiv.org/abs/1601.00372) arXiv (Cornell University) · no summary yet**Jiwei Li, Dan Jurafsky*2016 · 137 citations*
26. **[Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts](https://md.research.elamur.ai/free/en/papers/li-2014-major-life-event-extraction-twitter/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Alan Ritter, Claire Cardie, et al.*2014 · 129 citations*
27. **[Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints ↗](https://aclanthology.org/D18-1431/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ashutosh Baheti et al.*2018 · 125 citations*
28. **[Learning to Decode for Future Success ↗](https://arxiv.org/abs/1701.06549) arXiv (Cornell University) · no summary yet**Jiwei Li, Monroe, Will, Dan Jurafsky*2017 · 65 citations*
29. **[Deep Reinforcement Learning for NLP ↗](https://aclanthology.org/P18-5007/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts · no summary yet**William Yang Wang, Jiwei Li, Xiaodong He*2018 · 59 citations*
30. **[Implicit Discourse Relation Recognition by Selecting Typical Training Examples](https://md.research.elamur.ai/free/en/papers/wang-2012-implicit-discourse-relation-recognition-selecting/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Xun Wang, Sujian Li, Jiwei Li, et al.*2012 · 47 citations*
31. **[Interpreting Deep Learning Models in Natural Language Processing: A Review ↗](https://arxiv.org/abs/2110.10470) arXiv (Cornell University) · no summary yet**Xiaofei Sun et al.*2021 · 38 citations*
32. **[ConRPG: Paraphrase Generation using Contexts as Regularizer ↗](https://aclanthology.org/2021.emnlp-main.199/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yuxian Meng et al.*2021 · 36 citations*
33. **[Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks ↗](https://arxiv.org/abs/1510.05198) arXiv (Cornell University) · no summary yet**Jiwei Li, Alan Ritter, Dan Jurafsky*2015 · 33 citations*
34. **[Neural Net Models for Open-Domain Discourse Coherence ↗](https://arxiv.org/abs/1606.01545) arXiv (Cornell University) · no summary yet**Jiwei Li, Dan Jurafsky*2016 · 30 citations*
35. [**Pushing the Limits of ChatGPT on NLP Tasks arXiv:2306.09719**Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.*2023 · 28 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-pushing-limits-chatgpt-nlp-tasks/)
36. [**Sentiment Analysis through LLM Negotiations arXiv:2311.01876**Xiaofei Sun, Xiaoya Li, Shengyu Zhang, et al.*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-sentiment-analysis-through-llm-negotiations/)
37. **[Data Distillation for Controlling Specificity in Dialogue Generation ↗](https://arxiv.org/abs/1702.06703) arXiv (Cornell University) · no summary yet**Jiwei Li, Monroe, Will, Dan Jurafsky*2017 · 25 citations*
38. **[Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks ↗](https://arxiv.org/abs/1411.2679) arXiv (Cornell University) · no summary yet**Jiwei Li, Alan Ritter, Dan Jurafsky*2014 · 16 citations*
39. **[Paraphrase Generation as Unsupervised Machine Translation ↗](https://aclanthology.org/2022.coling-1.555/) Proceedings of the 29th International Conference on Computational Linguistics · no summary yet**Xiaofei Sun et al.*2022 · 2 citations*
40. **[Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/oh-2026-template-assisted-contrastive-learning-task/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minsik Oh, Jiwei Li, Guoyin Wang*2026 · 1 citation*
41. **[Situated Embedding Models for Context-Aware Dense Retrieval](https://md.research.elamur.ai/free/en/papers/wu-2026-situated-embedding-models-context-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junjie Wu, Jiangnan Li, Yuqing Li, et al.*2026*
42. **[Inferring user preferences by probabilistic logical reasoning over social networks. arXiv preprint arXiv:1411.2679 ↗](https://openalex.org/W7097452965) no summary yet**Jiwei Li, Alan Ritter, Dan Jurafsky*2014*