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Publications Selected & CompleteCitation counts available on Google Scholar. * denotes equal contribution.
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No publications match these filters. PreprintReward Hacking Challenges Oversight of Autonomous Research Agents Yue Huang, Zhangchen Xu, Yuchen Ma, Wenjie Wang, Zheyuan Liu, Ziwei Xu, Pin-Yu Chen, Michel Galley, Zinan Lin, Stefan Feuerriegel, Radha Poovendran, Misha Sra, Alex Pentland, Xiangliang Zhang, Zichen Chen arXiv:2609.28614 (2026) MemoHarness: Agent Harnesses That Learn from Experience Yue Huang, Wenjie Wang, Han Bao, Yuchen Ma, Xiaonan Luo, Yi Nian, Haomin Zhuang, Zheyuan Liu, Yue Zhao, Xiangliang Zhang arXiv:2607.14159 (2026) AutoLab: Can Frontier Models Solve Long-Horizon Auto Research and Engineering Tasks? Zhangchen Xu, Junda Chen, Yue Huang, Dongfu Jiang, Jiefeng Chen, Hang Hua, Zijian Wu, Zheyuan Liu, Zexue He, Lichi Li, Shizhe Diao, Jiaxin Pei, Jinsung Yoon, Hao Zhang, Mengdi Wang, Radha Poovendran, Misha Sra, Alex Pentland, Zichen Chen arXiv:2606.05080 (2026) Emergent Social Intelligence Risks in Generative Multi-Agent Systems Yue Huang, Yu Jiang, Wenjie Wang, Haomin Zhuang, Xiaonan Luo, Yuchen Ma, Zhangchen Xu, Zichen Chen, Nuno Moniz, Zinan Lin, Pin-Yu Chen, Nitesh V Chawla, Nouha Dziri, Huan Sun, Xiangliang Zhang arXiv:2603.27771 (2026) Conference2026SkillGen: Verified Inference-Time Agent Skill Synthesis Yuchen Ma*, Yue Huang*, Han Bao, Haomin Zhuang, Swadheen Shukla, Michel Galley, Xiangliang Zhang, Stefan Feuerriegel The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026) Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions Diancheng Kang, Zheyuan Liu, Ningshan Ma, Yue Huang, Zhaoxuan Tan, Meng Jiang The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026) NARRA-Gym for Evaluating Interactive Narrative Agents Yue Huang, Yuchen Ma, Jiayi Ye, Wenjie Wang, Zipeng Ling, Xingjian Hu, Yuexing Hao, Zichen Chen, Zhangchen Xu, Yunhong He, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Chaoran Chen, Toby Jia-Jun Li, Stefan Feuerriegel, Xiangliang Zhang The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026 Evaluations & Datasets Track) JobBench: Aligning Agent Work With Human Will Yuetai Li, Yichen Feng, Zhangchen Xu, Zixian Ma, Kaiyuan Zheng, Fengqing Jiang, Xinghua Sun, Rulin Shao, Zichen Chen, Yue Huang, Xinyang Han, Brian Lee, Kayla Xu, Shenglai Zeng, Hang Hua, Xiangliang Zhang, Basel Alomair, Ranjay Krishna, Luke Zettlemoyer, Pang Wei Koh, Bhaskar Ramasubramanian, Luyao Niu, Xiang Yue, Radha Poovendran The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026 Evaluations & Datasets Track) Can Agents Price a Reaction? Evaluating LLMs on Chemical Cost Reasoning Yuyang Wu, Yue Huang, Shuaike Shen, Xujian Wang, Shuhao Zhang, Qiyao Xue, Weichen Liu, Runtian Gao, Jian Ma, Xiangliang Zhang, Olexandr Isayev The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026 Evaluations & Datasets Track) ProbeLLM: Automating Principled Diagnosis of LLM Failures Yue Huang*, Zhengzhe Jiang*, Yuchen Ma*, Yu Jiang, Xiangqi Wang, Yujun Zhou, Yuexing Hao, Kehan Guo, Pin-Yu Chen, Marzyeh Ghassemi, Stefan Feuerriegel, Xiangliang Zhang The Forty-third International Conference on Machine Learning (ICML 2026) Capability-Oriented Training Induced Alignment Risk Yujun Zhou*, Yue Huang*, Han Bao*, Kehan Guo, Zhenwen Liang, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V Chawla, Xiangliang Zhang The Forty-third International Conference on Machine Learning (ICML 2026) Position: Beyond Prediction: Toward Verifiable Physiological Waveform Reasoning with Foundation Models and Agentic LLMs Xiaoda Wang, Ching Chang, Defu Cao, Kaiqiao Han, Fang Sun, Yue Huang, Minxiao Wang, Chang Xu, Xiao Luo, Runze Yan, Xiangliang Zhang, Xiao Hu, Yan Liu, Yizhou Sun, Wei Wang, Carl Yang The Forty-third International Conference on Machine Learning (ICML 2026) RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems Yu Jiang, Wenjie Wang, Yue Huang, Yanbo Wang, Zhenhong Zhou, Xiuying Chen, Yang Liu, Pin-Yu Chen, Wei Wang, Xiangliang Zhang The 64th Annual Meeting of the Association for Computational Linguistics — System Demonstrations (ACL 2026 Demo) AutoDavis: Automatic and Dynamic Evaluation Protocol of Large Vision-Language Models on Visual Question-Answering Han Bao, Yue Huang, Yanbo Wang, Jiayi Ye, Xiangqi Wang, Xiuying Chen, Yue Zhao, Tianyi Zhou, Mohamed Elhoseiny, Xiangliang Zhang The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026) Synthetic Interaction Data for Scalable Personalization in Large Language Models Yuchen Ma, Yue Huang, Wenjie Wang, Xiaonan Luo, Xiangliang Zhang, Stefan Feuerriegel The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026) Recipes for Agents: Understanding Skills and Their Open Questions Hanwen Xing, Haomin Zhuang, Xuandong Zhao, Yue Huang, Zhenheng Tang, Xiangliang Zhang The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026, Blue Sky) TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Jiayi Ye, Yujun Zhou, Yanbo Wang, et al. The Fourteenth International Conference on Learning Representations (ICLR 2026) (Featured by the Hoover Institution Technology Policy Accelerator and the Notre Dame-IBM Technology Ethics Lab) Building a Foundational Guardrail for General Agentic Systems via Synthetic Data Yue Huang, Hang Hua, Yujun Zhou, Pengcheng Jing, Manish Nagireddy, Inkit Padhi, Greta Dolcetti, Zhangchen Xu, Subhajit Chaudhury, Ambrish Rawat, Liubov Nedoshivina, Pin-Yu Chen, Prasanna Sattigeri, Xiangliang Zhang The Fourteenth International Conference on Learning Representations (ICLR 2026) Preference Leakage: A Contamination Problem in LLM-as-a-judge Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu The Fourteenth International Conference on Learning Representations (ICLR 2026) (Cited by the Thoughtworks Technology Radar in moving LLM-as-a-judge from Trial to Assess, and by The Atlantic; featured in Tech Times) RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty Xingjian Hu*, Ziqian Zhang*, Yue Huang*, Kai Zhang, Ruoxi Chen, Yixin Liu, Qingsong Wen, Kaidi Xu, Xiangliang Zhang, Neil Zhenqiang Gong, Lichao Sun The Fourteenth International Conference on Learning Representations (ICLR 2026) SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization Yue Huang, Xiangqi Wang, Xiangliang Zhang The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026 Oral) RMO: Towards Better LLM Alignment via Reshaping Reward Margin Distributions Yanchi Ru*, Yue Huang*, Xiangliang Zhang The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026) Better Datasets Start From RefineLab: Automatic Optimization for High-Quality Dataset Refinement Xiaonan Luo*, Yue Huang*, Ping He, Xiangliang Zhang The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026) SECURE: Safety Enforcement Constraint Using Regularized Orthogonality for LLM Fine-Tuning Shuo Yang, Qihui Zhang, Yuyang Liu, Yue Huang, et al. The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026 Oral) PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models Han Bao, Penghao Zhang, Yue Huang, Zhengqing Yuan, Yanchi Ru, SU RUI, Yujun Zhou, Xiangqi Wang, Kehan Guo, Nitesh V Chawla, Yanfang Ye, Xiangliang Zhang Findings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026 Findings) Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs Yue Huang, Haomin Zhuang, Jiayi Ye, Han Bao, Yanbo Wang, Hang Hua, Siyuan Wu, Pin-Yu Chen, Xiangliang Zhang Findings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026 Findings) PrimeTTT: Priming Test-Time Training for LLMs via Meta-Learned Initialization Xiangqi Wang, Dilinuer Aishan, Yujun Zhou, Yue Huang, Xiangliang Zhang The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026) Right Answers for the Right Reasons: Coherence-Enhanced Policy Optimization for Large Language Models Xiangqi Wang, Yue Huang, Yujun Zhou, Xiaonan Luo, Kehan Guo, Yuchen Ma, Xiangliang Zhang The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026) SpecAlign: Efficient Specification-Grounded Alignment of Large Language Models via Synthetic Data Wenjie Wang*, Yue Huang*, Zhengqing Yuan, Han Bao, Shiyi Du, Yuchen Ma, Yue Zhao, Yanfang Ye, Xiangliang Zhang The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026) Can Workflow Search Be Amortized? Demonstration-Guided Synthesis of LLM Agent Workflows Shiyi Du, Jiayuan Liu, Weihua Du, Yue Huang, Jiayi Li, Yingtao Luo, Xiangliang Zhang, Vincent Conitzer, Carl Kingsford The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026) Modeling, Evaluating, and Enhancing Reasoning of Large Language Models in Complex Social Environments Zixiang Xu, Yanbo Wang, Yue Huang, Haomin Zhuang, Yujun Zhou, Jiayi Ye, Sixian Li, Zirui Song, Lang Gao, Chenxi Wang, Zhaorun Chen, Wang Pan, Yue Zhao, Jieyu Zhao, Xiangliang Zhang, et al. Findings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026 Findings) From Evasive Servants to Dignified Peers via Dual Preference Optimization Xiangqi Wang, Yue Huang, Haomin Zhuang, Kehan Guo, Xiangliang Zhang Findings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026 Findings) DOG-DPO: Dynamic Optimization in Geometry for Safety Alignment Yi Nian, Tiankai Yang, Yudi Zhang, Qi Pan, Zelong Xu, Shenzhe Zhu, Qingqing Luan, Yue Huang, Xiangliang Zhang, Yue Zhao Findings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026 Findings) Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty? Yichen Feng, Yuetai Li, Chunjiang Liu, Fengqing Jiang, Yue Huang, Yuanyuan Chen, Hang Hua, Zhengqing Yuan, Kaiyuan Zheng, Luyao Niu, Bhaskar Ramasubramanian, Basel Alomair, Xiangliang Zhang, Misha Sra, Zichen Chen, Radha Poovendran, Zhangchen Xu Third Conference on Language Modeling (COLM 2026) My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom Jiayi Ye, Chaoran Chen, Yue Huang, Yanfang Ye, Toby Jia-Jun Li, Xiangliang Zhang 2026 CHI Conference on Human Factors in Computing Systems (ACM CHI 2026, Honourable Mention Award) (Cited by Wikipedia and featured in a high-impact Bilibili video with 247K+ views, 10.6K likes, and 6.3K saves; covered in Japan by ITmedia AI+, Ledge.ai and MoguLive) IntraAI: Bridging Human-AI Understanding Through Intelligent Interface Design Han Bao, Yue Huang, Xiangliang Zhang, Yanfang Ye Demonstrations of The Web Conference 2026 (WWW 2026 Demo) 2025ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions Yue Huang*, Zhengzhe Jiang*, Xiaonan Luo, Kehan Guo, Haomin Zhuang, Yujun Zhou, Zhengqing Yuan, Xiaoqi Sun, Jules Schleinitz, Yanbo Wang, Shuhao Zhang, Mihir Surve, Nitesh V Chawla, Olaf Wiest, Xiangliang Zhang The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) (Highlighted in the semi-annual meeting hosted by NSF Center for Computer-Assisted Synthesis (C-CAS)) AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking Xiangqi Wang*, Yue Huang*, Yanbo Wang, Xiaonan Luo, Kehan Guo, Yujun Zhou, Xiangliang Zhang The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025 Spotlight) EmoNest: Crafting Emotionally-Adaptive Experiences with Generative AI Yue Huang, Siyuan Wu The Thirty-ninth Annual Conference on Neural Information Processing Systems Creative AI Track: Humanity (NeurIPS 2025 Creative AI Track) DyFlow: Dynamic Workflow Framework for Agentic Reasoning Yanbo Wang, Zixiang Xu, Yue Huang, Xiangqi Wang, Zirui Song, Lang Gao, Chenxi Wang, Xiangru Tang, Yue Zhao, Arman Cohan, Xiangliang Zhang, Xiuying Chen The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search Yanbo Wang*, Zixiang Xu*, Yue Huang*, Chujie Gao, Siyuan Wu, Jiayi Ye, Pin-Yu Chen, Xiuying Chen, Xiangliang Zhang The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) Jailbreaking Large Language Models Through Alignment Vulnerabilities in Out-of-Distribution Settings Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Philip S. Yu, Xiangliang Zhang 34th ACM International Conference on Information and Knowledge Management (CIKM 2025) Exposing and Patching the Flaws of Large Language Models in Social Character Simulation Yue Huang*, Zhengqing Yuan*, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang Second Conference on Language Modeling (COLM 2025) Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models Chujie Gao, Yue Huang, Xiangqi Wang, Siyuan Wu, Nitesh Chawla, Xiangliang Zhang 34th ACM International Conference on Information and Knowledge Management (CIKM 2025) Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study Yujun Zhou, Jiayi Ye, Zipeng Ling, Yufei Han, Yue Huang, Haomin Zhuang, Zhenwen Liang, Kehan Guo, Taicheng Guo, Xiangqi Wang, Xiangliang Zhang The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) DataGen: A Unified Framework for Textual Dataset Generation Using Large Language Models Yue Huang*, Siyuan Wu*, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Jianfeng Gao, Chaowei Xiao, Lichao Sun The Thirteenth International Conference on Learning Representations (ICLR 2025) Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge Jiayi Ye*, Yanbo Wang*, Yue Huang*, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V Chawla, Xiangliang Zhang The Thirteenth International Conference on Learning Representations (ICLR 2025) (Highlighted by the Notre Dame-IBM Technology Ethics Lab, with a related tutorial video; taught in Prof. Hung-yi Lee's lecture on evaluation at National Taiwan University; cited by Wikipedia) GUI-World: A Dataset Towards GUI-Orientated Multimodal Large Language Models Dongping Chen*, Yue Huang*, Siyuan Wu*, Jingyu Tang*, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, et.al. The Thirteenth International Conference on Learning Representations (ICLR 2025) (Used by Google to benchmark Gemini 3 Pro's screen understanding in its launch results, and by Apple to evaluate Ferret-UI 2) Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond Kehan Guo, Yili Shen, Gisela Abigail Gonzalez-Montiel, Yue Huang, Yujun Zhou, Mihir Surve, Zhichun Guo, Prayel Das, Nitesh V Chawla, Olaf Wiest, Xiangliang Zhang 2025 International Joint Conference on Artificial Intelligence (IJCAI 2025) Interleaved Scene Graph for Interleaved Text-and-Image Generation Assessment Dongping Chen, Ruoxi Chen, Shu Pu, Zhaoyi Liu, Yanru Wu, Caixi Chen, Benlin Liu, Yue Huang, Yao Wan, Pan Zhou, Ranjay Krishna The Thirteenth International Conference on Learning Representations (ICLR 2025) Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models Zixiang Xu*, Yanbo Wang*, Yue Huang*, Xiuying Chen, Jieyu Zhao, Meng Jiang, Xiangliang Zhang The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis Yicheng Lang*, Kehan Guo*, Yue Huang, Yujun Zhou, Haomin Zhuang, Tianyu Yang, Yao Su, Xiangliang Zhang Findings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025 Findings) UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation Qihui Zhang, Munan Ning, Zheyuan Liu, Yanbo Wang, Jiayi Ye, Yue Huang, Shuo Yang, Xiao Chen, Yibing Song, Li Yuan The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025 (CVPR 2025) TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models Yanbo Wang*, Jiayi Ye*, Siyuan Wu*, Chujie Gao, Yue Huang, Xiuying Chen, Yue Zhao, Xiangliang Zhang 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics -- System Demonstration (NAACL 2025 Demo) 2024TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, et al. 2024 International Conference on Machine Learning (ICML 2024) (Widely recognized by leading U.S. and international AI safety communities: highlighted by United States Department of Homeland Security (DHS) & International AI Safety Report; listed in the U.S. DoD CDAO Generative AI Responsible AI Toolkit; featured in NIST AI 100-2e2025 Section 3.6 "Benchmarks for AML Vulnerabilities"; adopted as an official benchmark in all three editions of the FLI AI Safety Index; included in the U.S. national labs' joint report on AI safety (LLNL, PNNL, Sandia, Argonne); built on by Oak Ridge National Laboratory for a scalable evaluation workflow; profiled by Lawrence Livermore National Laboratory; its trust & safety metrics adopted by Salesforce in its G7 Hiroshima AI Process transparency report; included in the Ai2 Safety Evaluation Suite and used to evaluate Ai2's Tülu 3 and OLMo 3; integrated into Infosys's open-source Responsible AI Toolkit; chapter-length treatment in the Springer textbook Introduction to Foundation Models; ranked #17 among the most influential arXiv cs.CL papers of 2024 by Paper Digest; required reading in UVA CS 6501; featured in the Prompt Engineering Guide and Synced (机器之心); cited by The National Interest; Invited Talk at IBM Research; 10,000 times of toolkit download) MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, et al. The Twelfth International Conference on Learning Representations (ICLR 2024) (Taught in Prof. Hung-yi Lee's lectures on AI agents and context engineering at National Taiwan University) 1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Lichao Sun The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) HonestLLM: Toward an Honest and Helpful Large Language Model Chujie Gao*, Siyuan Wu*, Yue Huang*, Dongping Chen*, Qihui Zhang*, et al. Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024) Optimization-based Prompt Injection Attack to LLM-as-a-Judge Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong The ACM Conference on Computer and Communications Security (ACM CCS 2024) (Included in the German Federal Office for Information Security (BSI) guide Evasion Attacks on LLMs – Countermeasures in Practice; ranked #20 among the most influential arXiv cs.CR papers of 2024 by Paper Digest) LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? Qihui Zhang*, Chujie Gao*, Dongping Chen*, Yue Huang, et al. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL 2024) AlignBench: Benchmarking Chinese Alignment of Large Language Models Xiao Liu*, Xuanyu Lei*, Shengyuan Wang, Yue Huang, Zhuoer Feng, et al. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) (Adopted by leading Chinese LLM developers for official Chinese-alignment evaluation, including Alibaba Qwen, DeepSeek, Zhipu AI (ChatGLM), 01.AI (Yi), Baichuan, and MiniMax (Abab); also used in China Telecom Tele-FLM evaluation and the Tsinghua SuperBench suite; used in the official technical reports of Shanghai AI Lab's InternLM2 and Tencent Hunyuan-Large; integrated into the OpenCompass evaluation platform) From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire Yue Huang, Kai Shu, Philip S. Yu, Lichao Sun 2024 ACM Web Conference (WWW 2024) 2023CyberEA: An Efficient Entity Alignment Framework for Cybersecurity Knowledge Graph Yue Huang, Yongyan Guo, Cheng Huang EAI International Conference on Security and Privacy in Communication Networks (SecureComm 2023) Workshop PaperPreference Leakage: A Contamination Problem in LLM-as-a-judge Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu DIG-BUG@ICML 2025 (Best Paper Award) Quantifying AI Psychology: A Psychometrics Benchmark for Large Language Models Yuan Li, Yue Huang, Hongyi Wang, Xiangliang Zhang, James Zou, Lichao Sun SciSocLLM@KDD 2025 (Best Paper Award) Tutorial2026Towards Trustworthy and Socially Responsible Generative Foundation Models Yue Huang, Zhenhong Zhou, Pin-Yu Chen, Xiangliang Zhang The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026 Tutorial) 2025Science of Trustworthy Generative Foundation Models Yue Huang, Canyu Chen The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025 Tutorial) Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices Yue Huang, Canyu Chen, Lu Cheng, Bhavya Kailkhura, Nitesh Chawla, Xiangliang Zhang The 34th International Conference on Information and Knowledge Management (CIKM 2025 Tutorial) Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era Dawei Li, Yue Huang, Ming Li, Tianyi Zhou, Xiangliang Zhang, Huan Liu The 34th International Conference on Information and Knowledge Management (CIKM 2025 Tutorial) Responsible GenFMs: From Foundational Principles to Real-World Impact Yue Huang, Canyu Chen, Lu Cheng, Bhavya Kailkhura, Manlin Li, Xiangliang Zhang 2025 IEEE International Conference on Data Mining (ICDM 2025 Tutorial) |