--- title: "Jiawei Han — papers" description: "Jiawei Han: 14 papers in the Elamur Research library (2010–2025) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/jiawei-han/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiawei-han/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiawei Han # Jiawei Han 14 papers on this site (2010–2025) [OpenAlex](https://openalex.org/A5019539533) · [ORCID](https://orcid.org/0000-0002-3629-2696) · h-index 146 · 1115 works · 93597 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/jin-2025-search-r1-training-llms-reason/) — Bowen Jin, Hansi Zeng, Zhenrui Yue, et al. · 2025 - [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/) — Ryo Kamoi, Yusen Zhang, Nan Zhang, et al. · 2024 - [Large Language Models Can Self-Improve](https://md.research.elamur.ai/free/en/papers/huang-2023-large-language-models-can-self/) — Jiaxin Huang, Shixiang Gu, Le Hou, et al. · 2023 - [Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs](https://md.research.elamur.ai/free/en/papers/ge-2023-model-tells-discard-adaptive-kv/) — Suyu Ge, Yunan Zhang, Liyuan Liu, et al. · 2023 - [Generating Training Data with Language Models: Towards Zero-Shot Language Understanding](https://md.research.elamur.ai/free/en/papers/meng-2022-generating-training-data-language-models/) — Yu Meng, Jiaxin Huang, Yu Zhang, et al. · 2022 - [Towards a Unified Multi-Dimensional Evaluator for Text Generation](https://md.research.elamur.ai/free/en/papers/zhong-2022-unified-multi-dimensional-evaluator-text/) — Ming Zhong, Yang Liu, Da Yin, et al. · 2022 - [COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining](https://md.research.elamur.ai/free/en/papers/meng-2021-coco-lm-correcting-contrasting-text/) — Yu Meng, Chenyan Xiong, Payal Bajaj, et al. · 2021 - [Document-Level Event Argument Extraction by Conditional Generation](https://md.research.elamur.ai/free/en/papers/li-2021-document-level-event-argument-extraction/) — Sha Li, Heng Ji, Jiawei Han · 2021 - [Generation-Augmented Retrieval for Open-domain Question Answering](https://md.research.elamur.ai/free/en/papers/mao-2020-generation-augmented-retrieval-open-domain/) — Yuning Mao, Pengcheng He, Xiaodong Liu, et al. · 2020 - [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/) — Yu Meng, Yunyi Zhang, Jiaxin Huang, et al. · 2020 - [Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings](https://md.research.elamur.ai/free/en/papers/aclbulk-2019-kishky-constrained-sequence-sequence-semitic-root/) — Ahmed El-Kishky, Xingyu Fu, Aseel Addawood, et al. · 2019 - [Learning Named Entity Tagger using Domain-Specific Dictionary](https://md.research.elamur.ai/free/en/papers/shang-2018-learning-named-entity-tagger-domain/) — Jingbo Shang, Liyuan Liu, Xiaotao Gu, et al. · 2018 - [Empower Sequence Labeling with Task-Aware Neural Language Model](https://md.research.elamur.ai/free/en/papers/liu-2017-empower-sequence-labeling-task-aware/) — Liyuan Liu, Jingbo Shang, Frank F. Xu, et al. · 2017 - [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/) — Kavita Ganesan, ChengXiang Zhai, Jiawei Han · 2010