---
title: "Jiawei Han — all works — Elamur Research"
description: "All 66 works of Jiawei Han 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/jiawei-han/works/"
---
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# Jiawei Han — all works

66 works · [← Jiawei Han](https://md.research.elamur.ai/free/en/authors/jiawei-han/)

1. **[Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions](https://md.research.elamur.ai/free/en/papers/ganesan-2010-opinosis-graph-based-approach-abstractive/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Kavita Ganesan, ChengXiang Zhai, Jiawei Han*2010 · 612 citations*
2. **[Large Language Models Can Self-Improve](https://md.research.elamur.ai/free/en/papers/huang-2023-large-language-models-can-self/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaxin Huang, Shixiang Gu, Le Hou, et al.*2023 · 575 citations*
3. **[Document-Level Event Argument Extraction by Conditional Generation](https://md.research.elamur.ai/free/en/papers/li-2021-document-level-event-argument-extraction/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sha Li, Heng Ji, Jiawei Han*2021 · 433 citations*
4. **[Empower Sequence Labeling with Task-Aware Neural Language Model](https://md.research.elamur.ai/free/en/papers/liu-2017-empower-sequence-labeling-task-aware/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Liyuan Liu, Jingbo Shang, Frank F. Xu, et al.*2017 · 425 citations*
5. [**Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning arXiv:2503.09516**Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.*2025 · 322 citations*](https://md.research.elamur.ai/free/en/papers/jin-2025-search-r1-training-llms-reason/)
6. **[Learning Named Entity Tagger using Domain-Specific Dictionary](https://md.research.elamur.ai/free/en/papers/shang-2018-learning-named-entity-tagger-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jingbo Shang, Liyuan Liu, Xiaotao Gu, et al.*2018 · 302 citations*
7. **[Unsupervised Attributed Multiplex Network Embedding ↗](https://doi.org/10.1609/aaai.v34i04.5985) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Chanyoung Park et al.*2020 · 291 citations*
8. **[Text Classification Using Label Names Only: A Language Model Self-Training Approach](https://md.research.elamur.ai/free/en/papers/meng-2020-text-classification-label-names-only/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yu Meng, Yunyi Zhang, Jiaxin Huang, et al.*2020 · 274 citations*
9. **[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*
10. [**Generating Training Data with Language Models: Towards Zero-Shot Language Understanding arXiv:2202.04538**Yu Meng, Jiaxin Huang, Yu Zhang, et al.*2022 · 210 citations*](https://md.research.elamur.ai/free/en/papers/meng-2022-generating-training-data-language-models/)
11. **[Towards a Unified Multi-Dimensional Evaluator for Text Generation](https://md.research.elamur.ai/free/en/papers/zhong-2022-unified-multi-dimensional-evaluator-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ming Zhong, Yang Liu, Da Yin, et al.*2022 · 208 citations*
12. [**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/)
13. [**COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining arXiv:2102.08473**Yu Meng, Chenyan Xiong, Payal Bajaj, et al.*2021 · 198 citations*](https://md.research.elamur.ai/free/en/papers/meng-2021-coco-lm-correcting-contrasting-text/)
14. **[Liberal Event Extraction and Event Schema Induction ↗](https://aclanthology.org/P16-1025/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Lifu Huang et al.*2016 · 185 citations*
15. **[AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding ↗](https://aclanthology.org/D16-1144/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xiang Ren et al.*2016 · 184 citations*
16. **[UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning](https://md.research.elamur.ai/free/en/papers/mao-2022-unipelt-unified-framework-parameter-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuning Mao, Lambert Mathias, Rui Hou, et al.*2022 · 165 citations*
17. **[When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs](https://md.research.elamur.ai/free/en/papers/kamoi-2024-when-can-llms-actually-correct/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.*2024 · 161 citations*
18. [**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/)
19. **[CrossWeigh: Training Named Entity Tagger from Imperfect Annotations ↗](https://aclanthology.org/D19-1519/) 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**Zihan Wang et al.*2019 · 147 citations*
20. **[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*
21. **[Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-really-good/) [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/)**Fangzhi Xu, Qika Lin, Jiawei Han, et al.*2023 · 142 citations*
22. **[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*
23. **[COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation ↗](https://aclanthology.org/2021.naacl-demos.8/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations · no summary yet**Qingyun Wang et al.*2021 · 140 citations*
24. **[Hierarchical Text Classification with Reinforced Label Assignment ↗](https://aclanthology.org/D19-1042/) 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**Yuning Mao et al.*2019 · 134 citations*
25. **[Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup](https://md.research.elamur.ai/free/en/papers/gao-2021-scaling-deep-contrastive-learning-batch/) [Workshop on Representation Learning for NLP](https://md.research.elamur.ai/free/en/venues/repl4nlp/)**Luyu Gao, Yunyi Zhang, Jiawei Han, et al.*2021 · 131 citations*
26. **[Weakly-Supervised Hierarchical Text Classification ↗](https://doi.org/10.1609/aaai.v33i01.33016826) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Meng Yu et al.*2019 · 121 citations*
27. **[Don't Make Your LLM an Evaluation Benchmark Cheater ↗](https://arxiv.org/abs/2311.01964) arXiv:2311.01964 · no summary yet**Kun Zhou et al.*2023 · 112 citations*
28. **[Mining evidences for named entity disambiguation ↗](https://doi.org/10.1145/2487575.2487681) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Yang Li et al.*2013 · 101 citations*
29. **[Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion ↗](https://aclanthology.org/2022.findings-acl.23/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Yiqing Xie et al.*2022 · 99 citations*
30. **[Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ↗](https://aclanthology.org/2021.emnlp-main.810/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yu Meng et al.*2021 · 90 citations*
31. **[Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs](https://md.research.elamur.ai/free/en/papers/jin-2024-graph-chain-thought-augmenting-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bowen Jin, Chulin Xie, Jiawei Zhang, et al.*2024 · 89 citations*
32. **[Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach ↗](https://aclanthology.org/D17-1005/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Liyuan Liu et al.*2017 · 88 citations*
33. **[The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction ↗](https://aclanthology.org/2021.emnlp-main.422/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Manling Li et al.*2021 · 87 citations*
34. **[Text Classification with Heterogeneous Information Network Kernels ↗](https://doi.org/10.1609/aaai.v30i1.10297) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Chenguang Wang et al.*2016 · 84 citations*
35. **[RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System ↗](https://aclanthology.org/2021.naacl-demos.16/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations · no summary yet**Haoyang Wen et al.*2021 · 83 citations*
36. **[MART: Improving LLM Safety with Multi-round Automatic Red-Teaming](https://md.research.elamur.ai/free/en/papers/ge-2024-mart-improving-llm-safety-multi/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Suyu Ge, Chunting Zhou, Rui Hou, et al.*2024 · 82 citations*
37. **[TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names ↗](https://aclanthology.org/2021.naacl-main.335/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Jiaming Shen et al.*2021 · 80 citations*
38. **[SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction ↗](https://aclanthology.org/2022.naacl-main.171/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Yuxin Xiao et al.*2022 · 72 citations*
39. **[Biomedical Event Extraction based on Knowledge-driven Tree-LSTM ↗](https://aclanthology.org/N19-1145/) 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**Diya Li et al.*2019 · 71 citations*
40. **[Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding ↗](https://aclanthology.org/2020.emnlp-main.568/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Jiaxin Huang et al.*2020 · 63 citations*
41. **[Universal Graph Convolutional Networks ↗](https://openalex.org/W3212165552) neural information processing systems · no summary yet**Di Jin et al.*2021 · 55 citations*
42. **[On Bayesian interpretation of fact-finding in information networks ↗](https://openalex.org/W2130254564) no summary yet**Dong Wang et al.*2011 · 54 citations*
43. **[Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks ↗](https://doi.org/10.1145/2783258.2783374) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Chenguang Wang et al.*2015 · 53 citations*
44. **[Chemical-Reaction-Aware Molecule Representation Learning ↗](https://arxiv.org/abs/2109.09888) arXiv (Cornell University) · no summary yet**Hongwei Wang et al.*2021 · 40 citations*
45. **[RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios ↗](https://aclanthology.org/2022.naacl-demo.7/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations · no summary yet**Xinya Du et al.*2022 · 38 citations*
46. **[Entity Disambiguation with Linkless Knowledge Bases ↗](https://doi.org/10.1145/2872427.2883068) International World Wide Web Conference (WWW) · no summary yet**Yang Li et al.*2016 · 31 citations*
47. **[GLEN: General-Purpose Event Detection for Thousands of Types ↗](https://aclanthology.org/2023.emnlp-main.170/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Sha Li et al.*2023 · 28 citations*
48. **[Event Time Extraction and Propagation via Graph Attention Networks ↗](https://aclanthology.org/2021.naacl-main.6/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Haoyang Wen et al.*2021 · 27 citations*
49. **[CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description ↗](https://openalex.org/W2187794223) Theory and applications of categories · no summary yet**Taylor Cassidy et al.*2011 · 27 citations*
50. **[Arabic Named Entity Recognition: What Works and What's Next](https://md.research.elamur.ai/free/en/papers/liu-2019-arabic-named-entity-recognition-what/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Liyuan Liu, Jingbo Shang, Jiawei Han*2019 · 24 citations*
51. **[Debiasing Crowdsourced Batches ↗](https://doi.org/10.1145/2783258.2783316) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Honglei Zhuang et al.*2015 · 23 citations*
52. **[Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging ↗](https://aclanthology.org/2024.findings-emnlp.553/) Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yet**Priyanka Kargupta et al.*2024 · 16 citations*
53. **[Apollo: Towards factfinding in participatory sensing ↗](https://openalex.org/W2160276472) no summary yet**Hieu Khac Le et al.*2011 · 16 citations*
54. **[Compositional Data Augmentation for Abstractive Conversation Summarization ↗](https://aclanthology.org/2023.acl-long.82/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Siru Ouyang et al.*2023 · 13 citations*
55. **[s3: You Don't Need That Much Data to Train a Search Agent via RL](https://md.research.elamur.ai/free/en/papers/jiang-2025-s3-you-don-t-need/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, et al.*2025 · 12 citations*
56. **[World Knowledge as Indirect Supervision for Document Clustering ↗](https://doi.org/10.1145/2953881) ACM Transactions on Knowledge Discovery from Data · no summary yet**Chenguang Wang et al.*2016 · 12 citations*
57. **[Channeling the deluge ↗](https://doi.org/10.1145/2505515.2525541) Proceedings of the ... ACM International Conference on Information & Knowledge Management · no summary yet**Paul N. Bennett et al.*2013 · 11 citations*
58. **[DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance ↗](https://aclanthology.org/2023.findings-acl.14/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Nishant Balepur et al.*2023 · 7 citations*
59. **[Constrained information-theoretic tripartite graph clustering to identify semantically similar relations ↗](https://openalex.org/W2401789818) Rare & Special e-Zone (The Hong Kong University of Science and Technology) · no summary yet**Chenguang Wang et al.*2015 · 7 citations*
60. **[Representation Deficiency in Masked Language Modeling ↗](https://arxiv.org/abs/2302.02060) arXiv (Cornell University) · no summary yet**Meng Yu et al.*2023 · 6 citations*
61. [**Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings**Ahmed El-Kishky, Xingyu Fu, Aseel Addawood, et al.*Ancient Hebrew · 6 citations*](https://md.research.elamur.ai/free/en/papers/kishky-2019-constrained-sequence-sequence-semitic-root/)
62. **[RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor ↗](https://aclanthology.org/2023.emnlp-demo.33/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yet**Khanh Duy Nguyen et al.*2023 · 4 citations*
63. **[PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion ↗](https://aclanthology.org/2022.findings-emnlp.281/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Jianhao Shen et al.*2022 · 4 citations*
64. **[RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking](https://md.research.elamur.ai/free/en/papers/zou-2026-rag-over-tables-hierarchical-memory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaru Zou, Dongqi Fu, Sirui Chen, et al.*2026 · 3 citations*
65. **[Grounding Agent Memory in Contextual Intent](https://md.research.elamur.ai/free/en/papers/yang-2026-grounding-agent-memory-contextual-intent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ruozhen Yang, Yucheng Jiang, Yueqi Jiang, et al.*2026 · 1 citation*
66. **[Zero-Shot Open-Schema Entity Structure Discovery ↗](https://aclanthology.org/2026.eacl-long.354/) Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xueqiang Xu et al.*2026*