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Souradip Chakraborty

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On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities

Feb 24, 2024
Xiyang Wu, Ruiqi Xian, Tianrui Guan, Jing Liang, Souradip Chakraborty, Fuxiao Liu, Brian Sadler, Dinesh Manocha, Amrit Singh Bedi

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Provably Sample Efficient RLHF via Active Preference Optimization

Feb 16, 2024
Nirjhar Das, Souradip Chakraborty, Aldo Pacchiano, Sayak Ray Chowdhury

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MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences

Feb 14, 2024
Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong Huang, Dinesh Manocha, Amrit Singh Bedi, Mengdi Wang

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Beyond Text: Improving LLM's Decision Making for Robot Navigation via Vocal Cues

Feb 05, 2024
Xingpeng Sun, Haoming Meng, Souradip Chakraborty, Amrit Singh Bedi, Aniket Bera

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REBEL: A Regularization-Based Solution for Reward Overoptimization in Reinforcement Learning from Human Feedback

Dec 22, 2023
Souradip Chakraborty, Amisha Bhaskar, Anukriti Singh, Pratap Tokekar, Dinesh Manocha, Amrit Singh Bedi

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Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Oct 23, 2023
Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit Singh Bedi

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Aligning Agent Policy with Externalities: Reward Design via Bilevel RL

Aug 03, 2023
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Dinesh Manocha, Huazheng Wang, Furong Huang, Mengdi Wang

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Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL

May 27, 2023
Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang

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On the Possibilities of AI-Generated Text Detection

Apr 10, 2023
Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang

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