FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
Bornstein, Marco, Amrit Bedi, Abdirisak Mohamed, and Furong Huang.
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Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
Liang, Yongyuan, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, and Huazhe Xu.
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Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
Xu, Yuancheng, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, and Furong Huang.
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Transfer Q-star: Principled Decoding for LLM Alignment
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS),
2024.
Chakraborty, Souradip, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Bedi, and Furong Huang.
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SAIL: Self-improving Efficient Online Alignment of Large Language Models
In ICML 2024 Workshop on Theoretical Foundations of Foundation Models, ICML 2024, 2024
Mucong Ding and Souradip Chakraborty and Vibhu Agrawal and Zora Che and Alec Koppel and Mengdi Wang and Amrit Bedi and Furong Huang
BibTeX Mucong Ding and Souradip Chakraborty and Vibhu Agrawal and Zora Che and Alec Koppel and Mengdi Wang and Amrit Bedi and Furong Huang
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Progressively Efficient Communication
In Intrinsically Motivated Open-ended Learning (IMOL) Workshop, NeurIPS 2023, 2023
Khanh Nguyen and Ruijie Zheng and Hal Daume III and Furong Huang and Karthik Narasimhan
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Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
McClellan, Joshua, Naveed Haghani, John Winder, Furong Huang, and Pratap Tokekar.
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Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
Zhou, Yuhang, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, and Furong Huang.
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AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
Wu, Xiyang, Tianrui Guan, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan Lee Boyd-Graber, Tianyi Zhou, and Dinesh Manocha.
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AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models
First Conference on Language Modeling (COLM), 2024.
Zhu, Sicheng, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, and Tong Sun.
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