BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR. - Souradip Chakraborty; O. Ekaba Bisong; Shweta Bhatt; Thomas Wagner; Riley Elliott; Francesco Mosconi (COLING, 2020)

G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling. - Souradip Chakraborty; Aritra Roy Gosthipaty; Sayak Paul (ICDM (Workshops), 2020)

FairMixRep: Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints. - Souradip Chakraborty; Ekansh Verma; Saswata Sahoo; Jyotishka Datta (ICDM (Workshops), 2020)

Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type. - Saswata Sahoo; Souradip Chakraborty (ICPR, 2020)

Transformers at SemEval-2020 Task 11: Propaganda Fragment Detection Using Diversified BERT Architectures Based Ensemble Learning. - Ekansh Verma; Vinodh Motupalli; Souradip Chakraborty (SemEval@COLING, 2020)

Learning Representation for Mixed Data Types with a Nonlinear Deep Encoder-Decoder Framework. - Saswata Sahoo; Souradip Chakraborty (CoRR, 2020)

HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm. - Kasun Weerakoon; Souradip Chakraborty; Nare Karapetyan; Adarsh Jagan Sathyamoorthy; Amrit S. Bedi; Dinesh Manocha (CoRL, 2022)

On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. - Amrit Singh Bedi; Souradip Chakraborty; Anjaly Parayil; Brian M. Sadler; Pratap Tokekar; Alec Koppel (ICML, 2022)

Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies. - Souradip Chakraborty; Amrit Singh Bedi; Alec Koppel; Pratap Tokekar; Dinesh Manocha (CoRR, 2022)

Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. - Souradip Chakraborty; Amrit Singh Bedi; Pratap Tokekar; Alec Koppel; Brian M. Sadler; Furong Huang; Dinesh Manocha (AAAI, 2023)

STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning. - Souradip Chakraborty; Amrit S. Bedi; Alec Koppel; Mengdi Wang; Furong Huang; Dinesh Manocha (ICML, 2023)

Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization. - Souradip Chakraborty; Amrit Singh Bedi; Kasun Weerakoon; Prithvi Poddar; Alec Koppel; Pratap Tokekar; Dinesh Manocha (ICRA, 2023)

RE-MOVE: An Adaptive Policy Design Approach for Dynamic Environments via Language-Based Feedback. - Souradip Chakraborty; Kasun Weerakoon; Prithvi Poddar; Pratap Tokekar; Amrit Singh Bedi; Dinesh Manocha (CoRR, 2023)

On the Possibilities of AI-Generated Text Detection. - Souradip Chakraborty; Amrit Singh Bedi; Sicheng Zhu; Bang An 001; Dinesh Manocha; Furong Huang (CoRR, 2023)

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL. - Xiangyu Liu; Souradip Chakraborty; Yanchao Sun; Furong Huang (CoRR, 2023)

Aligning Agent Policy with Externalities: Reward Design via Bilevel RL. - Souradip Chakraborty; Amrit Singh Bedi; Alec Koppel; Dinesh Manocha; Huazheng Wang; Furong Huang; Mengdi Wang (CoRR, 2023)

Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey. - Soumya Suvra Ghosal; Souradip Chakraborty; Jonas Geiping; Furong Huang; Dinesh Manocha; Amrit Singh Bedi (CoRR, 2023)

REBEL: A Regularization-Based Solution for Reward Overoptimization in Reinforcement Learning from Human Feedback. - Souradip Chakraborty; Amisha Bhaskar; Anukriti Singh; Pratap Tokekar; Dinesh Manocha; Amrit Singh Bedi (CoRR, 2023)

A Survey on the Possibilities & Impossibilities of AI-generated Text Detection. - Soumya Suvra Ghosal; Souradip Chakraborty; Jonas Geiping; Furong Huang; Dinesh Manocha; Amrit S. Bedi (Trans. Mach. Learn. Res., 2023)

PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback. - Souradip Chakraborty; Amrit Singh Bedi; Alec Koppel; Huazheng Wang; Dinesh Manocha; Mengdi Wang; Furong Huang (ICLR, 2024)

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL. - Xiangyu Liu; Souradip Chakraborty; Yanchao Sun; Furong Huang (ICLR, 2024)

Position: On the Possibilities of AI-Generated Text Detection. - Souradip Chakraborty; Amrit S. Bedi; Sicheng Zhu; Bang An 001; Dinesh Manocha; Furong Huang (ICML, 2024)

MaxMin-RLHF: Alignment with Diverse Human Preferences. - Souradip Chakraborty; Jiahao Qiu; Hui Yuan 002; Alec Koppel; Dinesh Manocha; Furong Huang; Amrit S. Bedi; Mengdi Wang (ICML, 2024)

Transfer Q-star : Principled Decoding for LLM Alignment. - Souradip Chakraborty; Soumya Suvra Ghosal; Ming Yin 003; Dinesh Manocha; Mengdi Wang; Amrit Singh Bedi; Furong Huang (NeurIPS, 2024)

Beyond Text: Improving LLM's Decision Making for Robot Navigation via Vocal Cues. - Xingpeng Sun; Haoming Meng; Souradip Chakraborty; Amrit Singh Bedi; Aniket Bera (CoRR, 2024)

MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences. - Souradip Chakraborty; Jiahao Qiu; Hui Yuan 002; Alec Koppel; Furong Huang; Dinesh Manocha; Amrit Singh Bedi; Mengdi Wang (CoRR, 2024)

On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities. - Xiyang Wu; Ruiqi Xian; Tianrui Guan; Jing Liang 006; Souradip Chakraborty; Fuxiao Liu; Brian M. Sadler; Dinesh Manocha; Amrit Singh Bedi (CoRR, 2024)

Provably Sample Efficient RLHF via Active Preference Optimization. - Nirjhar Das; Souradip Chakraborty; Aldo Pacchiano; Sayak Ray Chowdhury (CoRR, 2024)

Is poisoning a real threat to LLM alignment? Maybe more so than you think. - Pankayaraj Pathmanathan; Souradip Chakraborty; Xiangyu Liu; Yongyuan Liang; Furong Huang (CoRR, 2024)

SAIL: Self-Improving Efficient Online Alignment of Large Language Models. - Mucong Ding; Souradip Chakraborty; Vibhu Agrawal; Zora Che; Alec Koppel; Mengdi Wang; Amrit S. Bedi; Furong Huang (CoRR, 2024)

AIME: AI System Optimization via Multiple LLM Evaluators. - Bhrij Patel; Souradip Chakraborty; Wesley A. Suttle; Mengdi Wang; Amrit Singh Bedi; Dinesh Manocha (CoRR, 2024)

On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning. - Anas Barakat; Souradip Chakraborty; Peihong Yu; Pratap Tokekar; Amrit Singh Bedi (CoRR, 2024)

Hierarchical Preference Optimization: Learning to achieve goals via feasible subgoals prediction. - Utsav Singh; Souradip Chakraborty; Wesley A. Suttle; Brian M. Sadler; Anit Kumar Sahu; Mubarak Shah; Vinay P. Namboodiri; Amrit Singh Bedi (CoRR, 2024)

LIAR: Leveraging Alignment (Best-of-N) to Jailbreak LLMs in Seconds. - James Beetham; Souradip Chakraborty; Mengdi Wang; Furong Huang; Amrit Singh Bedi; Mubarak Shah (CoRR, 2024)

Beyond Text: Utilizing Vocal Cues to Improve Decision Making in LLMs for Robot Navigation Tasks. - Xingpeng Sun; Haoming Meng; Souradip Chakraborty; Amrit S. Bedi; Aniket Bera (Trans. Mach. Learn. Res., 2024)

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? - Michael-Andrei Panaitescu-Liess; Zora Che; Bang An 001; Yuancheng Xu; Pankayaraj Pathmanathan; Souradip Chakraborty; Sicheng Zhu; Tom Goldstein; Furong Huang (AAAI, 2025)

Is Poisoning a Real Threat to DPO? Maybe More So Than You Think. - Pankayaraj Pathmanathan; Souradip Chakraborty; Xiangyu Liu; Yongyuan Liang; Furong Huang (AAAI, 2025)

Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment. - Prashant Trivedi; Souradip Chakraborty; Avinash Reddy; Vaneet Aggarwal; Amrit Singh Bedi; George K. Atia (AAAI, 2025)

Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. - Soumya Suvra Ghosal; Souradip Chakraborty; Vaibhav Singh; Tianrui Guan; Mengdi Wang; Ahmad Beirami; Furong Huang; Alvaro Velasquez; Dinesh Manocha; Amrit Singh Bedi (CVPR, 2025)

Collab: Controlled Decoding using Mixture of Agents for LLM Alignment. - Souradip Chakraborty; Sujay Bhatt; Udari Madhushani Sehwag; Soumya Suvra Ghosal; Jiahao Qiu; Mengdi Wang; Dinesh Manocha; Furong Huang; Alec Koppel; Sumitra Ganesh (ICLR, 2025)

BalancedDPO: Adaptive Multi-Metric Alignment. - Dipesh Tamboli; Souradip Chakraborty; Aditya Malusare; Biplab Banerjee; Amrit Singh Bedi; Vaneet Aggarwal (CoRR, 2025)

VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences. - Anukriti Singh; Amisha Bhaskar; Peihong Yu; Souradip Chakraborty; Ruthwik Dasyam; Amrit Singh Bedi; Pratap Tokekar (CoRR, 2025)

Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection. - Souradip Chakraborty; Mohammadreza Pourreza; Ruoxi Sun 002; Yiwen Song; Nino Scherrer; Furong Huang; Amrit Singh Bedi; Ahmad Beirami; Jindong Gu; Hamid Palangi; Tomas Pfister (CoRR, 2025)

Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time. - Mohamad Fares El Hajj Chehade; Soumya Suvra Ghosal; Souradip Chakraborty; Avinash Reddy; Dinesh Manocha; Hao Zhu; Amrit Singh Bedi (CoRR, 2025)

Does Thinking More always Help? Understanding Test-Time Scaling in Reasoning Models. - Soumya Suvra Ghosal; Souradip Chakraborty; Avinash Reddy; Yifu Lu; Mengdi Wang; Dinesh Manocha; Furong Huang; Mohammad Ghavamzadeh; Amrit Singh Bedi (CoRR, 2025)

PROPS: Progressively Private Self-alignment of Large Language Models. - Noel Teku; Fengwei Tian; Payel Bhattacharjee; Souradip Chakraborty; Amrit Singh Bedi; Ravi Tandon (CoRR, 2025)