Subhojyoti Mukherjee

According to our database, Subhojyoti Mukherjee authored at least 40 papers between 2017 and 2026.

Collaborative distances:

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

2026

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models.

Branislav Kveton, Anup B. Rao, Subhojyoti Mukherjee, Krishna Kumar Singh, Viet Dac Lai

CoRR, May, 2026

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization.

Md. Mehrab Tanjim, Jayakumar Subramanian, Xiang Chen, Branislav Kveton, Subhojyoti Mukherjee, Anlan Zhang, Sungchul Kim, Somdeb Sarkhel, Sunav Choudhury

CoRR, May, 2026

Sparse Personalized Text Generation with Multi-Trajectory Reasoning.

Bo Ni, Haowei Fu, Qinwen Ge, Franck Dernoncourt, Samyadeep Basu, Nedim Lipka, Seunghyun Yoon, Yu Wang, Nesreen K. Ahmed, Subhojyoti Mukherjee, Puneet Mathur, Ryan A. Rossi, Tyler Derr

CoRR, April, 2026

A Survey on LLM-based Conversational User Simulation.

Bo Ni, Leyao Wang, Yu Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Leura, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, David Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi

CoRR, April, 2026

Stepwise Credit Assignment for GRPO on Flow-Matching Models.

Yash Savani, Branislav Kveton, Yuchen Liu, Yilin Wang, Jing Shi, Subhojyoti Mukherjee, Nikos Vlassis, Krishna Kumar Singh

CoRR, March, 2026

Agentic Planning with Reasoning for Image Styling via Offline RL.

Subhojyoti Mukherjee, Stefano Petrangeli, Branislav Kveton, Trung Bui, Franck Dernoncourt, Arko Mukherjee

CoRR, March, 2026

Partial Policy Gradients for RL in LLMs.

Puneet Mathur, Branislav Kveton, Subhojyoti Mukherjee, Viet Dac Lai

CoRR, March, 2026

InfinityStory: Unlimited Video Generation with World Consistency and Character-Aware Shot Transitions.

Mohamed Elmoghany, Liangbing Zhao, Xiaoqian Shen, Subhojyoti Mukherjee, Yang Zhou, Gang Wu, Viet Dac Lai, Seunghyun Yoon, Ryan Rossi, Abdullah Rashwan, Puneet Mathur, Varun Manjunatha, Daksh Dangi, Chien Nguyen, Nedim Lipka, Trung Bui, Krishna Kumar Singh, Ruiyi Zhang, Xiaolei Huang, Jaemin Cho, Yu Wang, Namyong Park, Zhengzhong Tu, Hongjie Chen, Hoda Eldardiry, Nesreen K. Ahmed, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt

CoRR, March, 2026

Reasoning-Based Personalized Generation for Users with Sparse Data.

Bo Ni, Branislav Kveton, Samyadeep Basu, Subhojyoti Mukherjee, Leyao Wang, Franck Dernoncourt, Sungchul Kim, Seunghyun Yoon, Zichao Wang, Ruiyi Zhang, Puneet Mathur, Jihyung Kil, Jiuxiang Gu, Nedim Lipka, Yu Wang, Ryan A. Rossi, Tyler Derr

CoRR, February, 2026

Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis.

Runzhou Liu, Hailey Weingord, Sejal Mittal, Prakhar Dungarwal, Anusha Nandula, Bo Ni, Samyadeep Basu, Hongjie Chen, Nesreen K. Ahmed, Li Li, Jiayi Zhang, Koustava Goswami, Subhojyoti Mukherjee, Branislav Kveton, Puneet Mathur, Franck Dernoncourt, Yue Zhao, Yu Wang, Ryan A. Rossi, Zhengzhong Tu, Hongru Du

CoRR, February, 2026

A Survey on LLM-based Conversational User Simulation.

Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Learning to Reason in LLMs by Expectation Maximization.

Junghyun Lee, Branislav Kveton, Sunav Choudhary, Subhojyoti Mukherjee, Anup B. Rao, Ryan A. Rossi, Alexa Siu

CoRR, December, 2025

StreamGaze: Gaze-Guided Temporal Reasoning and Proactive Understanding in Streaming Videos.

Daeun Lee, Subhojyoti Mukherjee, Branislav Kveton, Ryan A. Rossi, Viet Dac Lai, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Mohit Bansal

CoRR, December, 2025

MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces.

Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Samyadeep Basu, Sungchul Kim, Subhojyoti Mukherjee, Puneet Mathur, Ruiyi Zhang, Jihyung Kil, Nedim Lipka, Seunghyun Yoon, Jiuxiang Gu, Zichao Wang, Cindy Xiong Bearfield, Branislav Kveton

CoRR, October, 2025

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality.

Mohamed Elmoghany, Ryan A. Rossi, Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Mohamed Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Van Nguyen, Daksh Dangi, Abel Salinas, Mohammad Reza Taesiri, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen K. Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Jaemin Cho, Anh Totti Nguyen, Zhengzhong Tu, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt

CoRR, July, 2025

Learning to Clarify by Reinforcement Learning Through Reward-Weighted Fine-Tuning.

Subhojyoti Mukherjee, Viet Dac Lai, Raghavendra Addanki, Ryan A. Rossi, Seunghyun Yoon, Trung Bui, Anup B. Rao, Jayakumar Subramanian, Branislav Kveton

CoRR, June, 2025

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.

Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao

CoRR, May, 2025

Logits are All We Need to Adapt Closed Models.

Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality.

Mohamed Elmoghany, Ryan A. Rossi, Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Mohamed Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Nguyen, Daksh Dangi, Abel Salinas, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen K. Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Zhengzhong Tu, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

From Selection to Generation: A Survey of LLM-based Active Learning.

Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao 'Kenneth' Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization.

Subhojyoti Mukherjee, Anusha Lalitha, Sailik Sengupta, Aniket Deshmukh, Branislav Kveton

CoRR, 2024

Off-Policy Evaluation from Logged Human Feedback.

Aniruddha Bhargava, Lalit Jain, Branislav Kveton, Ge Liu, Subhojyoti Mukherjee

CoRR, 2024

Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning.

Subhojyoti Mukherjee, Josiah P. Hanna, Qiaomin Xie, Robert D. Nowak

CoRR, 2024

Optimal Design for Human Feedback.

Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton

CoRR, 2024

Experimental Design for Active Transductive Inference in Large Language Models.

Subhojyoti Mukherjee, Ge Liu, Aniket Deshmukh, Anusha Lalitha, Yifei Ma, Branislav Kveton

CoRR, 2024

Optimal Design for Human Preference Elicitation.

Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP.

Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak

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

SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits.

Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Efficient and Interpretable Bandit Algorithms.

Subhojyoti Mukherjee, Ruihao Zhu, Branislav Kveton

CoRR, 2023

Multi-task Representation Learning for Pure Exploration in Bilinear Bandits.

Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

ReVar: Strengthening policy evaluation via reduced variance sampling.

Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Safety aware changepoint detection for piecewise i.i.d. bandits.

Subhojyoti Mukherjee

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Chernoff Sampling for Active Testing and Extension to Active Regression.

Subhojyoti Mukherjee, Ardhendu S. Tripathy, Robert D. Nowak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Nearly Optimal Algorithms for Level Set Estimation.

Blake Mason, Lalit K. Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin Jamieson, Robert D. Nowak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits.

Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting.

Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan

IEEE J. Sel. Areas Inf. Theory, 2020

Generalized Chernoff Sampling for Active Learning and Structured Bandit Algorithms.

Subhojyoti Mukherjee, Ardhendu Tripathy, Robert D. Nowak

CoRR, 2020

2019

Distribution-dependent and Time-uniform Bounds for Piecewise i.i.d Bandits.

Subhojyoti Mukherjee, Odalric-Ambrym Maillard

CoRR, 2019

2018

Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates.

Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Thresholding Bandits with Augmented UCB.

Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017