Souradip Chakraborty

According to our database, Souradip Chakraborty authored at least 46 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PROPS: Progressively Private Self-alignment of Large Language Models.

Noel Teku, Fengwei Tian, Payel Bhattacharjee, Souradip Chakraborty, Amrit Singh Bedi, Ravi Tandon

CoRR, August, 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, June, 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, May, 2025

Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection.

Souradip Chakraborty, Mohammadreza Pourreza, Ruoxi Sun, Yiwen Song, Nino Scherrer, Furong Huang, Amrit Singh Bedi, Ahmad Beirami, Jindong Gu, Hamid Palangi, Tomas Pfister

CoRR, April, 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, March, 2025

BalancedDPO: Adaptive Multi-Metric Alignment.

Dipesh Tamboli, Souradip Chakraborty, Aditya Malusare, Biplab Banerjee, Amrit Singh Bedi, Vaneet Aggarwal

CoRR, March, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Is Poisoning a Real Threat to DPO? Maybe More So Than You Think.

Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?

Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

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

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

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

AIME: AI System Optimization via Multiple LLM Evaluators.

Bhrij Patel, Souradip Chakraborty, Wesley A. Suttle, Mengdi Wang, Amrit Singh Bedi, Dinesh Manocha

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

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

Provably Sample Efficient RLHF via Active Preference Optimization.

Nirjhar Das, Souradip Chakraborty, Aldo Pacchiano, Sayak Ray Chowdhury

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, Souradip Chakraborty, Fuxiao Liu, Brian M. Sadler, Dinesh Manocha, Amrit Singh Bedi

CoRR, 2024

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

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

CoRR, 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

Transfer Q-star : Principled Decoding for LLM Alignment.

Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Singh Bedi, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MaxMin-RLHF: Alignment with Diverse Human Preferences.

Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Dinesh Manocha, Furong Huang, Amrit S. Bedi, Mengdi Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: On the Possibilities of AI-Generated Text Detection.

Souradip Chakraborty, Amrit S. Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL.

Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

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

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

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

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

Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang

CoRR, 2023

On the Possibilities of AI-Generated Text Detection.

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

CoRR, 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

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning.

Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

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

Proceedings of the International Conference on Machine Learning, 2022

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

Proceedings of the Conference on Robot Learning, 2022

2020

Learning Representation for Mixed Data Types with a Nonlinear Deep Encoder-Decoder Framework.

Saswata Sahoo, Souradip Chakraborty

CoRR, 2020

Transformers at SemEval-2020 Task 11: Propaganda Fragment Detection Using Diversified BERT Architectures Based Ensemble Learning.

Ekansh Verma, Vinodh Motupalli, Souradip Chakraborty

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type.

Saswata Sahoo, Souradip Chakraborty

Proceedings of the 25th International Conference on Pattern Recognition, 2020

FairMixRep: Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints.

Souradip Chakraborty, Ekansh Verma, Saswata Sahoo, Jyotishka Datta

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling.

Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR.

Souradip Chakraborty, O. Ekaba Bisong, Shweta Bhatt, Thomas Wagner, Riley Elliott, Francesco Mosconi

Proceedings of the 28th International Conference on Computational Linguistics, 2020