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ORCIDJiawei Han 0001
韩家炜
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
- affiliation (former): Simon Fraser University, School of Computing Science, Canada
- unicode name: 韩家炜
- award (2009): W. Wallace McDowell Award
Other persons with the same name
- Jiawei Han (aka: Jia-Wei Han) — disambiguation page
- Jiawei Han 0002
![[0000-0003-1956-5012]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1956-5012")
— Tianjin Normal University, Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, China (and 1 more) - Jiawei Han 0003 — Northwestern Polytechnical University, Xi'an, China
- Jiawei Han 0004 — Zhejiang University, Qiushi Academy for Advanced Studies, Hangzhou, China
- Jiawei Han 0005 — Chongqing University of Post and Telecommunications, Chongqing Key Lab of Mobile Communications Technology, China
- Jiawei Han 0006 — Jilin University, College of Computer Science and Technology, Changchun, China
- Jiawei Han 0007 — National Engineering Research Center for Information Technology in Agriculture, Beijing, China
- Jiawei Han 0008 — Beijing Institute of Technology, School of Optics and Photonics, China
- Jia-Wei Han 0009 (aka: Jiawei Han 0009) — Beijing Academy of Agricultural and Forestry Sciences, Beijing, China
- Jiawei Han 0010 — Xi'an Jiaotong University, China
- Jiawei Han 0011 — Harbin Institute of Technology, Harbin, China
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2020 – today
- 2026
[i269]Jeyun Lee, Junhyoung Lee, Wonbin Kweon, Bowen Jin, Yu Zhang, Susik Yoon, Dongha Lee, Hwanjo Yu, Jiawei Han, Seongku Kang:
Improving Scientific Document Retrieval with Academic Concept Index. CoRR abs/2601.00567 (2026)- [i268]Jiashuo Sun, Pengcheng Jiang, Saizhuo Wang, Jiajun Fan, Heng Wang, Siru Ouyang, Ming Zhong, Yizhu Jiao, Chengsong Huang, Xueqiang Xu, Pengrui Han, Peiran Li, Jiaxin Huang, Ge Liu, Heng Ji, Jiawei Han:
Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented Generation. CoRR abs/2602.03689 (2026) - [i267]Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu:
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR abs/2602.06052 (2026) - 2025
- [c834]Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han:
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations. AAAI 2025: 352-360 - [c833]Yanzhen Shen, Yu Zhang, Yunyi Zhang, Jiawei Han:
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion. ACL (Findings) 2025: 3208-3220 - [c832]Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han:
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? ACL (1) 2025: 11138-11165 - [c831]Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao:
Synergistic Weak-Strong Collaboration by Aligning Preferences. ACL (1) 2025: 20355-20371 - [c830]Priyanka Kargupta, Ishika Agarwal, Tal August, Jiawei Han:
Tree-of-Debate: Multi-Persona Debate Trees Elicit Critical Thinking for Scientific Comparative Analysis. ACL (1) 2025: 29378-29403 - [c829]Priyanka Kargupta, Yunyi Zhang, Yizhu Jiao, Siru Ouyang, Jiawei Han:
Synergizing Unsupervised Episode Detection with LLMs for Large-Scale News Events. ACL (1) 2025: 29648-29663 - [c828]Priyanka Kargupta, Runchu Tian, Jiawei Han:
Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims. ACL (1) 2025: 29664-29679 - [c827]Priyanka Kargupta, Nan Zhang, Yunyi Zhang, Rui Zhang, Prasenjit Mitra, Jiawei Han:
TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora. ACL (1) 2025: 29834-29850 - [c826]Yi Fang, Bowen Jin, Jiacheng Shen, Sirui Ding, Qiaoyu Tan, Jiawei Han:
GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs. CVPR 2025: 19467-19476 - [c825]Yunyi Zhang, Ruozhen Yang, Siqi Jiao, SeongKu Kang, Jiawei Han:
Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking. EMNLP (Findings) 2025: 2049-2060 - [c824]Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu:
Topic Coverage-based Demonstration Retrieval for In-Context Learning. EMNLP 2025: 19900-19912 - [c823]Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, Jinfeng Xiao, Zifeng Wang, Jimeng Sun, Jiawei Han:
s3: You Don't Need That Much Data to Train a Search Agent via RL. EMNLP 2025: 21599-21617 - [c822]Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten:
Law of the Weakest Link: Cross Capabilities of Large Language Models. ICLR 2025 - [c821]Suyu Ge, Xihui Lin, Yunan Zhang, Jiawei Han, Hao Peng:
A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts. ICLR 2025 - [c820]Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong:
Scaling Diffusion Language Models via Adaptation from Autoregressive Models. ICLR 2025 - [c819]Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han:
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. ICLR 2025 - [c818]Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan Ö. Arik:
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. ICLR 2025 - [c817]Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu:
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph. ICLR 2025 - [c816]Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik:
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. ICML 2025 - [c815]Jimeng Shi, Bowen Jin, Jiawei Han, Sundararaman Gopalakrishnan, Giri Narasimhan:
CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification. IJCAI 2025: 9853-9861 - [c814]Pengcheng Jiang, Siru Ouyang, Yizhu Jiao, Ming Zhong, Runchu Tian, Jiawei Han:
Retrieval And Structuring Augmented Generation with Large Language Models. KDD (2) 2025: 6032-6042 - [c813]Ayush Kumar Shah, Abhisek Dey, Leo Luo, Bryan Amador, Patrick Philippy, Ming Zhong, Siru Ouyang, David Mark Friday, David Bianchi, Nick Jackson, Richard Zanibbi, Jiawei Han:
Multimodal Search in Chemical Documents and Reactions. SIGIR 2025: 4030-4034 - [c812]SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu:
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. WSDM 2025: 895-904 - [c811]Yizhu Jiao, Siru Ouyang, Ming Zhong, Yunyi Zhang, Linyi Ding, Sizhe Zhou, Jiawei Han:
Retrieval and Structuring Augmented Generation with LLMs for Web Applications. WWW (Companion Volume) 2025: 25-28 - [c810]Yu Zhang, Yanzhen Shen, SeongKu Kang, Xiusi Chen, Bowen Jin, Jiawei Han:
Chain-of-Factors Paper-Reviewer Matching. WWW 2025: 1901-1910 - [c809]Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Rui Li, Jinfeng Xiao, Jiaming Shen, Jiawei Han:
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision. WWW 2025: 2032-2042 - [i266]Jimeng Shi, Azam Shirali, Bowen Jin, Sizhe Zhou, Wei Hu, Rahuul Rangaraj, Shaowen Wang, Jiawei Han, Zhaonan Wang, Upmanu Lall, Yanzhao Wu, Leonardo Bobadilla, Giri Narasimhan:
Deep Learning and Foundation Models for Weather Prediction: A Survey. CoRR abs/2501.06907 (2025) - [i265]Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu:
Preference Leakage: A Contamination Problem in LLM-as-a-judge. CoRR abs/2502.01534 (2025) - [i264]Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik:
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. CoRR abs/2502.03699 (2025) - [i263]Pengcheng Jiang, Lang Cao, Ruike Zhu, Minhao Jiang, Yunyi Zhang, Jimeng Sun, Jiawei Han:
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation. CoRR abs/2502.10996 (2025) - [i262]SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu:
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. CoRR abs/2502.11181 (2025) - [i261]Yi Fang, Bowen Jin, Jiacheng Shen, Sirui Ding, Qiaoyu Tan, Jiawei Han:
GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs. CoRR abs/2502.11925 (2025) - [i260]Priyanka Kargupta, Ishika Agarwal, Tal August, Jiawei Han:
Tree-of-Debate: Multi-Persona Debate Trees Elicit Critical Thinking for Scientific Comparative Analysis. CoRR abs/2502.14767 (2025) - [i259]Ayush Kumar Shah, Abhisek Dey, Leo Luo, Bryan Amador, Patrick Philippy, Ming Zhong, Siru Ouyang, David Mark Friday, David Bianchi, Nick Jackson, Richard Zanibbi, Jiawei Han:
Multimodal Search in Chemical Documents and Reactions. CoRR abs/2502.16865 (2025) - [i258]Pengcheng Jiang, Jiacheng Lin, Lang Cao, Runchu Tian, SeongKu Kang, Zifeng Wang, Jimeng Sun, Jiawei Han:
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning. CoRR abs/2503.00223 (2025) - [i257]Bowen Jin, Hansi Zeng, Zhenrui Yue, Dong Wang, Hamed Zamani, Jiawei Han:
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning. CoRR abs/2503.09516 (2025) - [i256]Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He:
GTR: Graph-Table-RAG for Cross-Table Question Answering. CoRR abs/2504.01346 (2025) - [i255]Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao:
Synergistic Weak-Strong Collaboration by Aligning Preferences. CoRR abs/2504.15188 (2025) - [i254]Jiashuo Sun, Xianrui Zhong, Sizhe Zhou, Jiawei Han:
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation. CoRR abs/2505.07233 (2025) - [i253]Xianrui Zhong, Bowen Jin, Siru Ouyang, Yanzhen Shen, Qiao Jin, Yin Fang, Zhiyong Lu, Jiawei Han:
Benchmarking Retrieval-Augmented Generation for Chemistry. CoRR abs/2505.07671 (2025) - [i252]Carl Edwards, Chi Han, Gawon Lee, Thao Nguyen, Bowen Jin, Chetan Prasad, Sara Szymkuc, Bartosz A. Grzybowski, Ying Diao, Jiawei Han, Ge Liu, Hao Peng, Martin D. Burke, Heng Ji:
mCLM: A Function-Infused and Synthesis-Friendly Modular Chemical Language Model. CoRR abs/2505.12565 (2025) - [i251]Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong:
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics. CoRR abs/2505.12709 (2025) - [i250]Runchu Tian, Xueqiang Xu, Bowen Jin, SeongKu Kang, Jiawei Han:
LLM-Based Compact Reranking with Document Features for Scientific Retrieval. CoRR abs/2505.13757 (2025) - [i249]Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, Jinfeng Xiao, Zifeng Wang, Jimeng Sun, Jiawei Han:
s3: You Don't Need That Much Data to Train a Search Agent via RL. CoRR abs/2505.14146 (2025) - [i248]Bowen Jin, Jinsung Yoon, Priyanka Kargupta, Sercan Ö. Arik, Jiawei Han:
An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents. CoRR abs/2505.15117 (2025) - [i247]Shivam Agarwal, Zimin Zhang, Lifan Yuan, Jiawei Han, Hao Peng:
The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning. CoRR abs/2505.15134 (2025) - [i246]Zhenrui Yue, Bowen Jin, Huimin Zeng, Honglei Zhuang, Zhen Qin, Jinsung Yoon, Lanyu Shang, Jiawei Han, Dong Wang:
Hybrid Latent Reasoning via Reinforcement Learning. CoRR abs/2505.18454 (2025) - [i245]Jimeng Shi, Sizhe Zhou, Bowen Jin, Wei Hu, Shaowen Wang, Giri Narasimhan, Jiawei Han:
Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-Answering. CoRR abs/2505.19288 (2025) - [i244]Yunyi Zhang, Ruozhen Yang, Siqi Jiao, SeongKu Kang, Jiawei Han:
Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking. CoRR abs/2505.21815 (2025) - [i243]Yin Fang, Qiao Jin, Guangzhi Xiong, Bowen Jin, Xianrui Zhong, Siru Ouyang, Aidong Zhang, Jiawei Han, Zhiyong Lu:
Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning. CoRR abs/2506.02911 (2025) - [i242]Xueqiang Xu, Jinfeng Xiao, James Barry, Mohab Elkaref, Jiaru Zou, Pengcheng Jiang, Yunyi Zhang, Maxwell Giammona, Geeth de Mel, Jiawei Han:
Zero-Shot Open-Schema Entity Structure Discovery. CoRR abs/2506.04458 (2025) - [i241]Jash Rajesh Parekh, Pengcheng Jiang, Jiawei Han:
CC-RAG: Structured Multi-Hop Reasoning via Theme-Based Causal Graphs. CoRR abs/2506.08364 (2025) - [i240]Priyanka Kargupta, Runchu Tian, Jiawei Han:
Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims. CoRR abs/2506.10728 (2025) - [i239]Priyanka Kargupta, Nan Zhang, Yunyi Zhang, Rui Zhang, Prasenjit Mitra, Jiawei Han:
TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora. CoRR abs/2506.10737 (2025) - [i238]Siru Ouyang, Xinyu Zhu, Zilin Xiao, Minhao Jiang, Yu Meng, Jiawei Han:
RAST: Reasoning Activation in LLMs via Small-model Transfer. CoRR abs/2506.15710 (2025) - [i237]Xuan Liu, Siru Ouyang, Xianrui Zhong, Jiawei Han, Huimin Zhao:
FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models. CoRR abs/2508.01055 (2025) - [i236]Revanth Gangi Reddy, Tanay Dixit, Jiaxin Qin, Cheng Qian, Daniel Lee, Jiawei Han, Kevin Small, Xing Fan, Ruhi Sarikaya, Heng Ji:
WINELL: Wikipedia Never-Ending Updating with LLM Agents. CoRR abs/2508.03728 (2025) - [i235]Pengcheng Jiang, Siru Ouyang, Yizhu Jiao, Ming Zhong, Runchu Tian, Jiawei Han:
A Survey on Retrieval And Structuring Augmented Generation with Large Language Models. CoRR abs/2509.10697 (2025) - [i234]Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu:
Topic Coverage-based Demonstration Retrieval for In-Context Learning. CoRR abs/2509.12451 (2025) - [i233]Siru Ouyang, Jun Yan, I-Hung Hsu, Yanfei Chen, Ke Jiang, Zifeng Wang, Rujun Han, Long T. Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, Tomas Pfister:
ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory. CoRR abs/2509.25140 (2025) - [i232]Jiashuo Sun, Shixuan Liu, Zhaochen Su, Xianrui Zhong, Pengcheng Jiang, Bowen Jin, Peiran Li, Weijia Shi, Jiawei Han:
GRACE: Generative Representation Learning via Contrastive Policy Optimization. CoRR abs/2510.04506 (2025) - [i231]Ming Zhong, Xiang Zhou, Ting-Yun Chang, Qingze Wang, Nan Xu, Xiance Si, Dan Garrette, Shyam Upadhyay, Jeremiah Liu, Jiawei Han, Benoit Schillings, Jiao Sun:
Vibe Checker: Aligning Code Evaluation with Human Preference. CoRR abs/2510.07315 (2025) - [i230]Wonbin Kweon, Runchu Tian, SeongKu Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu:
PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval. CoRR abs/2510.09897 (2025) - [i229]Junlin Wu, Xianrui Zhong, Jiashuo Sun, Bolian Li, Bowen Jin, Jiawei Han, Qingkai Zeng:
Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning. CoRR abs/2510.15191 (2025) - [i228]Yizhu Jiao, Jiaqi Zeng, Julien Veron Vialard, Oleksii Kuchaiev, Jiawei Han, Olivier Delalleau:
Think Twice: Branch-and-Rethink Reasoning Reward Model. CoRR abs/2510.23596 (2025) - [i227]Yizhu Jiao, Sha Li, Sizhe Zhou, Heng Ji, Jiawei Han:
TEXT2DB: Integration-Aware Information Extraction with Large Language Model Agents. CoRR abs/2510.24014 (2025) - [i226]Bowen Jin, TJ Collins, Donghan Yu, Mert Cemri, Shenao Zhang, Mengyu Li, Jay Tang, Tian Qin, Zhiyang Xu, Jiarui Lu, Guoli Yin, Jiawei Han, Zirui Wang:
Controlling Performance and Budget of a Centralized Multi-agent LLM System with Reinforcement Learning. CoRR abs/2511.02755 (2025) - [i225]Priyanka Kargupta, Shuyue Stella Li, Haocheng Wang, Jinu Lee, Shan Chen, Orevaoghene Ahia, Dean Light, Thomas L. Griffiths, Max Kleiman-Weiner, Jiawei Han, Asli Celikyilmaz, Yulia Tsvetkov:
Cognitive Foundations for Reasoning and Their Manifestation in LLMs. CoRR abs/2511.16660 (2025) - [i224]Sizhe Zhou, Jiawei Han:
A Simple Yet Strong Baseline for Long-Term Conversational Memory of LLM Agents. CoRR abs/2511.17208 (2025) - [i223]Pengcheng Jiang, Jiacheng Lin, Zhiyi Shi, Zifeng Wang, Luxi He, Yichen Wu, Ming Zhong, Peiyang Song, Qizheng Zhang, Heng Wang, Xueqiang Xu, Hanwen Xu, Pengrui Han, Dylan Zhang, Jiashuo Sun, Chaoqi Yang, Kun Qian, Tian Wang, Changran Hu, Manling Li, Quanzheng Li, Hao Peng, Sheng Wang, Jingbo Shang, Chao Zhang, Jiaxuan You, Liyuan Liu, Pan Lu, Yu Zhang, Heng Ji, Yejin Choi, Dawn Song, Jimeng Sun, Jiawei Han:
Adaptation of Agentic AI. CoRR abs/2512.16301 (2025) - 2024
- [j207]Martin D. Burke, Scott E. Denmark, Ying Diao, Jiawei Han, Rachel D. Switzky, Huimin Zhao:
Molecule Maker Lab Institute: Accelerating, advancing, and democratizing molecular innovation. AI Mag. 45(1): 117-123 (2024) - [j206]Ryo Kamoi, Yusen Zhang, Nan Zhang, Jiawei Han, Rui Zhang:
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs. Trans. Assoc. Comput. Linguistics 12: 1417-1440 (2024) - [j205]Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han:
Large Language Models on Graphs: A Comprehensive Survey. IEEE Trans. Knowl. Data Eng. 36(12): 8622-8642 (2024) - [j204]Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen:
Multi-LoRA Composition for Image Generation. Trans. Mach. Learn. Res. 2024 (2024) - [j203]Zhizhi Yu, Di Jin, Jianguo Wei, Yawen Li, Ziyang Liu, Yue Shang, Jiawei Han, Lingfei Wu:
TeKo: Text-Rich Graph Neural Networks With External Knowledge. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14699-14711 (2024) - [c808]Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han:
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. AAAI 2024: 19606-19614 - [c807]Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han:
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. ACL (Findings) 2024: 163-184 - [c806]Yizhu Jiao, Sha Li, Sizhe Zhou, Heng Ji, Jiawei Han:
Text2DB: Integration-Aware Information Extraction with Large Language Model Agents. ACL (Findings) 2024: 185-205 - [c805]Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han:
ActionIE: Action Extraction from Scientific Literature with Programming Languages. ACL (1) 2024: 12656-12671 - [c804]Sayar Ghosh Roy, Jiawei Han:
ILCiteR: Evidence-grounded Interpretable Local Citation Recommendation. LREC/COLING 2024: 8627-8638 - [c803]Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji:
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction. EACL (Findings) 2024: 1-16 - [c802]Sha Li, Revanth Gangi Reddy, Khanh Duy Nguyen, Qingyun Wang, Yi Fung, Chi Han, Jiawei Han, Kartik Natarajan, Clare R. Voss, Heng Ji:
Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Play. EMNLP (System Demonstrations) 2024: 372-381 - [c801]SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu:
Taxonomy-guided Semantic Indexing for Academic Paper Search. EMNLP 2024: 7169-7184 - [c800]Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han:
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. EMNLP 2024: 8783-8817 - [c799]Priyanka Kargupta, Ishika Agarwal, Dilek Hakkani-Tür, Jiawei Han:
Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging. EMNLP (Findings) 2024: 9475-9495 - [c798]Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen:
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. EMNLP (Findings) 2024: 13125-13137 - [c797]Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han:
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. EMNLP 2024: 13462-13486 - [c796]Linyi Ding, Jinfeng Xiao, Sizhe Zhou, Chaoqi Yang, Jiawei Han:
Topic-Oriented Open Relation Extraction with A Priori Seed Generation. EMNLP 2024: 13834-13845 - [c795]Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. ICLR 2024 - [c794]Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He:
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. ICLR 2024 - [c793]Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao:
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. ICLR 2024 - [c792]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024: 20166-20270 - [c791]Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang:
Language Models as Semantic Indexers. ICML 2024: 22244-22259 - [c790]Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Yejin Choi, Jiawei Han, Lianhui Qin:
Structured Chemistry Reasoning with Large Language Models. ICML 2024: 38937-38952 - [c789]Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma:
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. ICML 2024: 41749-41768 - [c788]Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong:
SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter. ICML 2024: 55348-55370 - [c787]Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han:
OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing. KDD 2024: 1407-1417 - [c786]Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han:
Ontology Enrichment for Effective Fine-grained Entity Typing. KDD 2024: 2318-2327 - [c785]Yunyi Zhang, Ming Zhong, Siru Ouyang, Yizhu Jiao, Sizhe Zhou, Linyi Ding, Jiawei Han:
Automated Mining of Structured Knowledge from Text in the Era of Large Language Models. KDD 2024: 6644-6654 - [c784]Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao:
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. NAACL-HLT 2024: 1927-1937 - [c783]Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han:
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. NAACL-HLT 2024: 2805-2819 - [c782]Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han:
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. NAACL-HLT 2024: 2820-2837 - [c781]Pengcheng Jiang, Lang Cao, Cao (Danica) Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han:
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. NeurIPS 2024 - [c780]Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han:
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs. NeurIPS 2024 - [c779]Wei Hu, Bowen Jin, Minhao Jiang, Sizhe Zhou, Zhaonan Wang, Jiawei Han, Shaowen Wang:
Geospatial Topological Relation Extraction from Text with Knowledge Augmentation. SDM 2024: 472-480 - [c778]Bowen Jin, Yu Zhang, Sha Li, Jiawei Han:
Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery. WSDM 2024: 1122-1125 - [c777]SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. WWW 2024: 1497-1508 - [i222]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i221]Minhao Jiang, Ken Ziyu Liu, Ming Zhong, Rylan Schaeffer, Siru Ouyang, Jiawei Han, Sanmi Koyejo:
Investigating Data Contamination for Pre-training Language Models. CoRR abs/2401.06059 (2024) - [i220]Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji:
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction. CoRR abs/2401.10189 (2024) - [i219]Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han:
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. CoRR abs/2401.13129 (2024) - [i218]Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han:
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. CoRR abs/2402.10744 (2024) - [i217]Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han:
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. CoRR abs/2402.11142 (2024) - [i216]Yanzhen Shen, Yu Zhang, Yunyi Zhang, Jiawei Han:
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion. CoRR abs/2402.13405 (2024) - [i215]Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao,