Souradip Chakraborty
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
12
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Jailbreaks as Inference-Time Alignment: A Framework for Understanding Safety Failures in LLMs. | James Beetham, Souradip Chakraborty, Mengdi Wang, Furong Huang, Amrit Singh Bedi, Mubarak Shah |
| 2025 | AAAI | 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 |
| 2025 | AAAI | Is Poisoning a Real Threat to DPO? Maybe More So Than You Think. | Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang |
| 2025 | AAAI | 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 |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems. | Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh, Souradip Chakraborty, Amrit Singh Bedi, Furong Huang |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | IROS | On the Vulnerability of LLM/VLM-Controlled Robotics. | Xiyang Wu, Souradip Chakraborty, Ruiqi Xian, Jing Liang, Tianrui Guan, Fuxiao Liu, Brian M. Sadler, Dinesh Manocha, Amrit Singh Bedi |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL. | Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang |
| 2024 | ICML | Position: On the Possibilities of AI-Generated Text Detection. | Souradip Chakraborty, Amrit S. Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang |
| 2024 | ICML | MaxMin-RLHF: Alignment with Diverse Human Preferences. | Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Dinesh Manocha, Furong Huang, Amrit S. Bedi, Mengdi Wang |
| 2023 | AAAI | 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 |
| 2023 | ICML | STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning. | Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha |
| 2023 | ICRA | 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 |
| 2022 | CoRL | 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 |
| 2022 | ICML | 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 |
| 2020 | COLING | BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR. | Souradip Chakraborty, O. Ekaba Bisong, Shweta Bhatt, Thomas Wagner, Riley Elliott, Francesco Mosconi |
| 2020 | ICDM | G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling. | Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul |
| 2020 | ICDM | FairMixRep: Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints. | Souradip Chakraborty, Ekansh Verma, Saswata Sahoo, Jyotishka Datta |
| 2020 | ICPR | Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type. | Saswata Sahoo, Souradip Chakraborty |