Difan Jiao

According to our database, Difan Jiao authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

MINER: Mining Multimodal Internal Representation for Efficient Retrieval.

Weien Li, Rui Song, Zeyu Li, Haochen Liu, Gonghao Zhang, Difan Jiao, Zhenwei Tang, Bowei He, Haolun Wu, Xue (Steve) Liu, Ye Yuan

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

LLM Safety From Within: Detecting Harmful Content with Internal Representations.

Difan Jiao, Yilun Liu, Ye Yuan, Zhenwei Tang, Linfeng Du, Haolun Wu, Ashton Anderson

CoRR, April, 2026

ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement.

Difan Jiao, Qianfeng Wen, Blair Yang, Zhenwei Tang, Ashton Anderson

CoRR, April, 2026

Understanding the Dynamics of Demonstration Conflict in In-Context Learning.

Difan Jiao, Di Wang, Lijie Hu

CoRR, March, 2026

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess.

Zhenwei Tang, Difan Jiao, Eric Xue, Reid McIlroy-Young, Jon M. Kleinberg, Siddhartha Sen, Ashton Anderson

Trans. Mach. Learn. Res., 2026

2025

SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models.

Zhenwei Tang, Difan Jiao, Blair Yang, Ashton Anderson

CoRR, August, 2025

2024

Maia-2: A Unified Model for Human-AI Alignment in Chess.

Zhenwei Tang, Difan Jiao, Reid McIlroy-Young, Jon M. Kleinberg, Siddhartha Sen, Ashton Anderson

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

SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification.

Difan Jiao, Yilun Liu, Zhenwei Tang, Daniel Matter, Jürgen Pfeffer, Ashton Anderson

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Sparsify-then-Classify: From Internal Neurons of Large Language Models To Efficient Text Classifiers.

Yilun Liu, Difan Jiao, Ashton Anderson

CoRR, 2023