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ORCIDMinda Hu
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2020 – today
- 2026
[j3]Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Qihan Ren, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang:
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence. Trans. Mach. Learn. Res. 2026 (2026)- [i23]Minda Hu, Zexuan Qiu, Zenan Xu, Kun Li, Bo Zhou, Irwin King:
ConMax: Confidence-Maximizing Compression for Efficient Chain-of-Thought Reasoning. CoRR abs/2601.04973 (2026) - [i22]Wenhao Yu, Shaohang Wei, Jiahong Liu, Yifan Li, Minda Hu, Aiwei Liu, Hao Zhang, Irwin King:
Probability-Entropy Calibration: An Elastic Indicator for Adaptive Fine-tuning. CoRR abs/2602.01745 (2026) - [i21]Bowei He, Minda Hu, Zenan Xu, Hongru Wang, Licheng Zong, Yankai Chen, Chen Ma, Xue Liu, Pluto Zhou, Irwin King:
Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration. CoRR abs/2602.03647 (2026) - [i20]Shizhan Gong, Minda Hu, Qiyuan Zhang, Chen Ma, Qi Dou:
Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward. CoRR abs/2604.04500 (2026) - [i19]Shihan Dou, Yujiong Shen, Chenhao Huang, Junjie Ye
, Jiayi Chen, Junzhe Wang, Qianyu He, Shichun Liu, Changze Lv, Jiahang Lin, Jiazheng Zhang, Ming Zhang, Shaofan Liu, Tao Ji, Zhangyue Yin, Cheng Zhang, Huaibing Xie, Jianglu Hu, Jingcheng Deng, Lincheng Li, Minda Hu, Shaolei Wang, Syrus Zhao, Weichao Wang, Yan Lei, Yang Liu, Yanling Xiao, Yiting Liu, Zenan Xu, Zhen Guo, Ziliang Zhao, Pluto Zhou, Tao Gui, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Di Wang, Shunyu Yao:
CL-bench Life: Can Language Models Learn from Real-Life Context? CoRR abs/2604.27043 (2026) - [i18]Ziliang Zhao, Zenan Xu, Shuting Wang, Hongjin Qian, Yan Lei, Minda Hu, Zhao Wang, Shihan Dou, Zhicheng Dou, Pluto Zhou:
PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models. CoRR abs/2605.20873 (2026) - [i17]Dianzhi Yu, Vireo Zhang, Hongru Wang, Yanyu Chen, Minda Hu, Wanghan Xu, Siki Chen, Philip Torr, Zhenfei Yin, Irwin King:
Dynamic Mixture of Latent Memories for Self-Evolving Agents. CoRR abs/2605.21951 (2026) - [i16]Yixia Li, Hongru Wang, Peng Lai, Zhiwen Ruan, He Zhu, Youxin Zhu, Ganlong Zhao, Minda Hu, Yun Chen, Sibei Yang, Peng Li, Jeff Z. Pan, Jia Pan, Guanhua Chen, Yang Liu, Guanbin Li:
Bridging the Agent-World Gap: Text World Models for LLM-based Agents. CoRR abs/2606.09032 (2026) - 2025
- [c11]Zhihan Guo, Jiele Wu, Wenqian Cui, Yifei Zhang, Minda Hu, Yufei Wang, Irwin King:
From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models. EMNLP 2025: 5151-5166 - [c10]Minda Hu, Tianqing Fang, Jianshu Zhang, Jun-Yu Ma, Zhisong Zhang, Jingyan Zhou, Hongming Zhang, Haitao Mi, Dong Yu, Irwin King:
WebCoT: Enhancing Web Agent Reasoning by Reconstructing Chain-of-Thought in Reflection, Branching, and Rollback. EMNLP (Findings) 2025: 5155-5173 - [c9]Minda Hu, Qiyuan Zhang, Yufei Wang, Bowei He, Hongru Wang, Jingyan Zhou, Liangyou Li, Yasheng Wang, Chen Ma, Irwin King:
NILE: Internal Consistency Alignment in Large Language Models. EMNLP 2025: 8129-8147 - [i15]Jiahong Liu, Zexuan Qiu, Zhongyang Li, Quanyu Dai, Jieming Zhu, Minda Hu, Menglin Yang, Irwin King:
A Survey of Personalized Large Language Models: Progress and Future Directions. CoRR abs/2502.11528 (2025) - [i14]Minda Hu, Tianqing Fang, Jianshu Zhang, Junyu Ma, Zhisong Zhang, Jingyan Zhou, Hongming Zhang, Haitao Mi, Dong Yu, Irwin King:
WebCoT: Enhancing Web Agent Reasoning by Reconstructing Chain-of-Thought in Reflection, Branching, and Rollback. CoRR abs/2505.20013 (2025) - [i13]Zhihan Guo, Jiele Wu, Wenqian Cui, Yifei Zhang, Minda Hu, Yufei Wang, Irwin King:
From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation. CoRR abs/2506.16024 (2025) - [i12]Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Qihan Ren, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang:
A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence. CoRR abs/2507.21046 (2025) - 2024
- [c8]Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King:
SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation. EMNLP (Findings) 2024: 1321-1335 - [c7]Jingyan Zhou, Minda Hu, Junan Li, Xiaoying Zhang, Xixin Wu, Irwin King, Helen Meng:
Rethinking Machine Ethics - Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? NAACL-HLT (Findings) 2024: 2227-2242 - [c6]Muzhi Li, Minda Hu, Irwin King, Ho-fung Leung:
The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing. NAACL-HLT 2024: 6625-6638 - [c5]Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia:
RL-GPT: Integrating Reinforcement Learning and Code-as-policy. NeurIPS 2024 - [c4]Hongru Wang, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang Xue, Yongfeng Huang, Kam-Fai Wong:
TPE: Towards Better Compositional Reasoning over Cognitive Tools via Multi-persona Collaboration. NLPCC (2) 2024: 281-294 - [i11]Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia:
RL-GPT: Integrating Reinforcement Learning and Code-as-policy. CoRR abs/2402.19299 (2024) - [i10]Muzhi Li, Minda Hu, Irwin King, Ho-fung Leung:
The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing. CoRR abs/2404.08313 (2024) - [i9]Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King:
Enhancing Biomedical Knowledge Retrieval-Augmented Generation with Self-Rewarding Tree Search and Proximal Policy Optimization. CoRR abs/2406.11258 (2024) - [i8]Minda Hu, Bowei He, Yufei Wang, Liangyou Li, Chen Ma, Irwin King:
Mitigating Large Language Model Hallucination with Faithful Finetuning. CoRR abs/2406.11267 (2024) - [i7]Jingyan Zhou, Kun Li, Junan Li, Jiawen Kang, Minda Hu, Xixin Wu, Helen Meng:
Purple-teaming LLMs with Adversarial Defender Training. CoRR abs/2407.01850 (2024) - [i6]Minda Hu, Qiyuan Zhang, Yufei Wang, Bowei He, Hongru Wang, Jingyan Zhou, Liangyou Li, Yasheng Wang, Chen Ma, Irwin King:
NILE: Internal Consistency Alignment in Large Language Models. CoRR abs/2412.16686 (2024) - 2023
- [c3]Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong:
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues. EMNLP (Findings) 2023: 9556-9569 - [i5]Jingyan Zhou, Minda Hu, Junan Li, Xiaoying Zhang, Xixin Wu, Irwin King, Helen Meng:
Rethinking Machine Ethics - Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? CoRR abs/2308.15399 (2023) - [i4]Hongru Wang, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang Xue, Hongyuan Lu, Fei Mi, Kam-Fai Wong:
TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration. CoRR abs/2309.16090 (2023) - [i3]Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong:
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue. CoRR abs/2310.08840 (2023) - 2022
- [j2]Minda Hu, Mayank Kejriwal:
Measuring spatio-textual affinities in twitter between two urban metropolises. J. Comput. Soc. Sci. 5(1): 227-252 (2022) - [c2]Minda Hu, Muzhi Li, Yasheng Wang, Irwin King:
Momentum Contrastive Pre-training for Question Answering. EMNLP 2022: 4324-4330 - [i2]Minda Hu, Muzhi Li, Yasheng Wang, Irwin King:
Momentum Contrastive Pre-training for Question Answering. CoRR abs/2212.05762 (2022) - 2021
- [j1]Minda Hu, Ashwin Rao, Mayank Kejriwal, Kristina Lerman:
Socioeconomic Correlates of Anti-Science Attitudes in the US. Future Internet 13(6): 160 (2021) - 2020
- [i1]Ashwin Rao, Fred Morstatter, Minda Hu, Emily Chen, Keith Burghardt, Emilio Ferrara, Kristina Lerman:
Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19. CoRR abs/2011.08498 (2020)
2010 – 2019
- 2019
- [c1]Avijit Thawani, Minda Hu, Erdong Hu, Husain Zafar, Naren Teja Divvala, Amandeep Singh, Ehsan Qasemi, Pedro A. Szekely, Jay Pujara:
Entity Linking to Knowledge Graphs to Infer Column Types and Properties. SemTab@ISWC 2019: 25-32
Coauthor Index
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last updated on 2026-08-09 23:21 CEST by the dblp team
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