🧑‍🔬 Jiwei Li — all works

42 works · ← Jiwei Li

1. A Diversity-Promoting Objective Function for Neural Conversation ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jiwei Li, Michel Galley, Chris Brockett, et al.2016 · 2,960 citations
2. Deep Reinforcement Learning for Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Will Monroe, Alan Ritter, et al.2016 · 1,502 citations
3. Adversarial Learning for Neural Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Will Monroe, Tianlin Shi, et al.2017 · 1,063 citations
4. Visualizing and Understanding Neural Models in NLPConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jiwei Li, Xinlei Chen, Eduard Hovy, et al.2016 · 855 citations
5. A Unified MRC Framework for Named Entity RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoya Li, Jingrong Feng, Yuxian Meng, et al.2020 · 840 citations
6. Dice Loss for Data-imbalanced NLP TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoya Li, Xiaofei Sun, Yuxian Meng, et al.2020 · 735 citations
7. Understanding Neural Networks through Representation Erasure ↗arXiv (Cornell University) · no summary yetJiwei Li, Monroe, Will, Dan Jurafsky2016 · 595 citations
8. Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 520 citations
9. A Persona-Based Neural Conversation ModelarXiv:1603.06155Jiwei Li, Michel Galley, Chris Brockett, et al.2016 · 462 citations
10. Entity-Relation Extraction as Multi-Turn Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoya Li, Fan Yin, Zijun Sun, et al.2019 · 443 citations
11. GPT-NER: Named Entity Recognition via Large Language ModelsFindings of the Association for Computational LinguisticsShuhe Wang, Xiaofei Sun, Xiaoya Li, et al.2025 · 436 citations
12. Do Multi-Sense Embeddings Improve Natural Language Understanding?Conference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Dan Jurafsky2015 · 304 citations
13. Text Classification via Large Language ModelsFindings of the Association for Computational LinguisticsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
14. A Hierarchical Neural Autoencoder for Paragraphs and Documents ↗arXiv:1506.01057 · no summary yetJiwei Li, Minh-Thang Luong, Dan Jurafsky2015 · 287 citations
15. A Simple, Fast Diverse Decoding Algorithm for Neural Generation ↗arXiv (Cornell University) · no summary yetJiwei Li, Monroe, Will, Dan Jurafsky2016 · 284 citations
16. Data Noising as Smoothing in Neural Network Language Models ↗arXiv (Cornell University) · no summary yetZiang Xie et al.2017 · 269 citations
17. When Are Tree Structures Necessary for Deep Learning of Representations?Conference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Thang Luong, Dan Jurafsky, et al.2015 · 267 citations
18. CorefQA: Coreference Resolution as Query-based Span PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Wu, Fei Wang, Arianna Yuan, et al.2020 · 256 citations
19. GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Wan, Fei Cheng, Zhuoyuan Mao, et al.2023 · 253 citations
20. ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information ↗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 yetZijun Sun et al.2021 · 242 citations
21. BertGCN: Transductive Text Classification by Combining GNN and BERT ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetYuxiao Lin et al.2021 · 240 citations
22. Recursive Deep Models for Discourse ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Rumeng Li, Eduard Hovy2014 · 206 citations
23. Is Word Segmentation Necessary for Deep Learning of Chinese Representations? ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetXiaoya Li et al.2019 · 176 citations
24. Neural Net Models of Open-domain Discourse CoherenceConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Dan Jurafsky2017 · 147 citations
25. Mutual Information and Diverse Decoding Improve Neural Machine Translation ↗arXiv (Cornell University) · no summary yetJiwei Li, Dan Jurafsky2016 · 137 citations
26. Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech ActsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Alan Ritter, Claire Cardie, et al.2014 · 129 citations
27. Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetAshutosh Baheti et al.2018 · 125 citations
28. Learning to Decode for Future Success ↗arXiv (Cornell University) · no summary yetJiwei Li, Monroe, Will, Dan Jurafsky2017 · 65 citations
29. Deep Reinforcement Learning for NLP ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts · no summary yetWilliam Yang Wang, Jiwei Li, Xiaodong He2018 · 59 citations
30. Implicit Discourse Relation Recognition by Selecting Typical Training ExamplesInternational Conference on Computational Linguistics (COLING)Xun Wang, Sujian Li, Jiwei Li, et al.2012 · 47 citations
31. Interpreting Deep Learning Models in Natural Language Processing: A Review ↗arXiv (Cornell University) · no summary yetXiaofei Sun et al.2021 · 38 citations
32. ConRPG: Paraphrase Generation using Contexts as Regularizer ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetYuxian Meng et al.2021 · 36 citations
33. Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks ↗arXiv (Cornell University) · no summary yetJiwei Li, Alan Ritter, Dan Jurafsky2015 · 33 citations
34. Neural Net Models for Open-Domain Discourse Coherence ↗arXiv (Cornell University) · no summary yetJiwei Li, Dan Jurafsky2016 · 30 citations
35. Pushing the Limits of ChatGPT on NLP TasksarXiv:2306.09719Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.2023 · 28 citations
36. Sentiment Analysis through LLM NegotiationsarXiv:2311.01876Xiaofei Sun, Xiaoya Li, Shengyu Zhang, et al.2023 · 25 citations
37. Data Distillation for Controlling Specificity in Dialogue Generation ↗arXiv (Cornell University) · no summary yetJiwei Li, Monroe, Will, Dan Jurafsky2017 · 25 citations
38. Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks ↗arXiv (Cornell University) · no summary yetJiwei Li, Alan Ritter, Dan Jurafsky2014 · 16 citations
39. Paraphrase Generation as Unsupervised Machine Translation ↗Proceedings of the 29th International Conference on Computational Linguistics · no summary yetXiaofei Sun et al.2022 · 2 citations
40. Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL)Minsik Oh, Jiwei Li, Guoyin Wang2026 · 1 citation
41. Situated Embedding Models for Context-Aware Dense Retrieval ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetJunjie Wu et al.2026
42. Inferring user preferences by probabilistic logical reasoning over social networks. arXiv preprint arXiv:1411.2679 ↗no summary yetJiwei Li, Alan Ritter, Dan Jurafsky2014

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jiwei-li/works/