Rohan Surana

According to our database, Rohan Surana authored at least 13 papers between 2025 and 2026.

Collaborative distances:

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

2026

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking.

Rohan Surana, Gagan Mundada, Junda Wu, Xintong Li, Yizhu Jiao, Bowen Jin, Sizhe Zhou, Tong Yu, Ritwik Sinha, Jiawei Han, Jingbo Shang, Julian J. McAuley

CoRR, May, 2026

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization.

Rohan Surana, Xintong Li, Sheldon Yu, Yiran Jenny Shen, Chuhan Wang, Tong Yu, Prithviraj Ammanabrolu, Jingbo Shang, Julian J. McAuley, Xiaojun Wu

CoRR, May, 2026

Skill-R1: Agent Skill Evolution via Reinforcement Learning.

Yash Vishe, Rohan Surana, Xunyi Jiang, Zihan Huang, Xintong Li, Nikki Lijing Kuang, Tong Yu, Ryan A. Rossi, Jingbo Shang, Julian J. McAuley, Junda Wu

CoRR, May, 2026

Skill-CMIB: Multimodal Agent Skill for Consistent Action via Conditional Multimodal Information Bottleneck.

Zihan Huang, Junda Wu, Tong Yu, Qianqi Yan, Rohan Surana, Uttaran Bhattacharya, Lina Yao, Xin Eric Wang, Julian J. McAuley

CoRR, May, 2026

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning.

Rohan Surana, Gagan Mundada, Xunyi Jiang, Chuhan Wang, Zhenwei Tang, Difan Jiao, Zihan Huang, Yuxin Xiong, Junda Wu, Sheldon Yu, Xintong Li, Raghav Jain, Nikki Kuang, Sizhe Zhou, Bowen Jin, Zhendong Chu, Tong Yu, Ryan Rossi, Kuan-Hao Huang, Jingbo Shang, Jiawei Han, Julian J. McAuley

CoRR, May, 2026

WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning.

Gagan Mundada, Zihan Huang, Rohan Surana, Sheldon Yu, Jennifer Yuntong Zhang, Xintong Li, Tong Yu, Lina Yao, Jingbo Shang, Julian J. McAuley, Xiaojun Wu

CoRR, February, 2026

AMPS: Adaptive Modality Preference Steering via Functional Entropy.

Zihan Huang, Xintong Li, Rohan Surana, Tong Yu, Rui Wang, Julian J. McAuley, Jingbo Shang, Junda Wu

CoRR, February, 2026

Evaluation on Entity Matching in Recommender Systems.

Zihan Huang, Rohan Surana, Zhouhang Xie, Junda Wu, Yu Xia, Julian J. McAuley

CoRR, January, 2026

2025

Importance Sampling for Multi-Negative Multimodal Direct Preference Optimization.

Xintong Li, Chuhan Wang, Junda Wu, Rohan Surana, Tong Yu, Julian J. McAuley, Jingbo Shang

CoRR, September, 2025

MusiCRS: Benchmarking Audio-Centric Conversational Recommendation.

Rohan Surana, Amit Namburi, Gagan Mundada, Abhay Lal, Zachary Novack, Julian J. McAuley, Junda Wu

CoRR, September, 2025

In-context Ranking Preference Optimization.

Junda Wu, Rohan Surana, Zhouhang Xie, Yiran Shen, Yu Xia, Tong Yu, Ryan A. Rossi, Prithviraj Ammanabrolu, Julian J. McAuley

CoRR, April, 2025

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System.

Rohan Surana, Junda Wu, Zhouhang Xie, Yu Xia, Harald Steck, Dawen Liang, Nathan Kallus, Julian J. McAuley

CoRR, April, 2025

Image Difference Captioning via Adversarial Preference Optimization.

Zihan Huang, Junda Wu, Rohan Surana, Tong Yu, David Arbour, Ritwik Sinha, Julian J. McAuley

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025