Xintong Li

According to our database, Xintong Li authored at least 27 papers between 2022 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

Learning with Rare Success but Rich Feedback via Reflection-Enhanced Self-Distillation.

Yuwei Zhang, Sha Li, Changlong Yu, Qin Lu, Shuowei Jin, Chengyu Dong, Haoran Liu, Ilgee Hong, Xintong Li, Zhenyu Shi, Bing Yin, Jingbo Shang

CoRR, May, 2026

OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents.

Sheldon Yu, Junda Wu, Xintong Li, Nikki Lijing Kuang, Sizhe Zhou, Tong Yu, 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

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

Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning.

Xintong Li, Sha Li, Rongmei Lin, Hongye Jin, Linwei Li, Hejie Cui, Sarah Zhang, Chia-Yuan Chang, Kewei Cheng, Besnik Fetahu, Priyanka Nigam, Jingbo Shang, Bing Yin

CoRR, March, 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

SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes.

Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, Junda Wu, Chengkai Huang, Lina Yao, Julian J. McAuley, Jingbo Shang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

CTRLS: Chain-of-Thought Reasoning via Latent State-Transition.

Junda Wu, Yuxin Xiong, Xintong Li, Zhengmian Hu, Tong Yu, Rui Wang, Xiang Chen, Jingbo Shang, Julian J. McAuley

CoRR, July, 2025

A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models.

Zhouhang Xie, Junda Wu, Yiran Shen, Yu Xia, Xintong Li, Aaron Chang, Ryan A. Rossi, Sachin Kumar, Bodhisattwa Prasad Majumder, Jingbo Shang, Prithviraj Ammanabrolu, Julian J. McAuley

CoRR, April, 2025

Active Learning for Direct Preference Optimization.

Branislav Kveton, Xintong Li, Julian J. McAuley, Ryan A. Rossi, Jingbo Shang, Junda Wu, Tong Yu

CoRR, March, 2025

OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models.

Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics.

Sheldon Yu, Yuxin Xiong, Junda Wu, Xintong Li, Tong Yu, Xiang Chen, Ritwik Sinha, Jingbo Shang, Julian J. McAuley

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.

Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

CoMMIT: Coordinated Multimodal Instruction Tuning.

Xintong Li, Junda Wu, Tong Yu, Rui Wang, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Julian J. McAuley, Jingbo Shang

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

Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning.

Xintong Li, Jalend Bantupalli, Ria Dharmani, Yuwei Zhang, Jingbo Shang

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

GUI Agents: A Survey.

Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

GUI Agents: A Survey.

Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt

CoRR, 2024

Visual Prompting in Multimodal Large Language Models: A Survey.

Junda Wu, Zhehao Zhang, Yu Xia, Xintong Li, Zhaoyang Xia, Aaron Chang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ruiyi Zhang, Subrata Mitra, Dimitris N. Metaxas, Lina Yao, Jingbo Shang, Julian J. McAuley

CoRR, 2024

CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models.

Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley

CoRR, 2024

Open-world Multi-label Text Classification with Extremely Weak Supervision.

Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Geometry-Aware Adaptation for Pretrained Models.

Nicholas Carl Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala

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

2022

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels.

Nicholas Carl Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022