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Difan Jiao

Maia-2: A Unified Model for Human-AI Alignment in Chess
2024 · Zhenwei Tang, Difan Jiao, et al. · neural information processing systems · 6
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SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification
2024 · Difan Jiao, Yilun Liu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 4
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LLM Safety From Within: Detecting Harmful Content with Internal Representations
2026 · Difan Jiao, Yilun Liu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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Deciphering Cultural Representations in Large Language Models via Sparse Autoencoders
2026 · Chenye Zou, Difan Jiao, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
Humanity's Last Choice: A Common Evaluation Standard for Generative Engine Optimization
2026 · Wen, Qianfeng, Liu, Yifan Simon, et al. · arXiv (Cornell University)
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Agent Safety From Within: Detecting Harmful Trajectories from LLM Internal States
2026 · Jiao, Difan, Anderson, Ashton · arXiv (Cornell University)
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Synthetic Persona Pretraining: Alignment from Token Zero
2026 · Minder, Julian, Moskvoretskii, Viktor, et al. · arXiv (Cornell University)
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Tandem Reinforcement Learning with Verifiable Rewards
2026 · Jiao, Difan, Singhal, Raghav, et al. · arXiv (Cornell University)
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LLM Safety From Within: Detecting Harmful Content with Internal Representations
2026 · Association for Computational Linguistics 2026, Anderson, Ashton, et al. · Underline Science Inc.
Deciphering Cultural Representations in Large Language Models via Sparse Autoencoders
2026 · Association for Computational Linguistics 2026, Hu, Lijie, et al. · Underline Science Inc.
MINER: Mining Multimodal Internal Representation for Efficient Retrieval
2026 · Li, Weien, Song, Rui, et al. · arXiv (Cornell University)
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Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning
2026 · Surana, Rohan, Mundada, Gagan, et al. · arXiv (Cornell University)
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ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement
2026 · Jiao, Difan, Wen, Qianfeng, et al. · arXiv (Cornell University)
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Understanding the Dynamics of Demonstration Conflict in In-Context Learning
2026 · Jiao, Difan, Wang, Di, et al. · arXiv (Cornell University)
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SafeGEO: Understanding Generative Engine Optimization Risks in Recommendation Agents
2026 · Qianfeng Wen, Yifan Simon Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Emulate or Estimate? The Divergent Strengths of Base and Post-Trained Language Models for Opinion Simulation
2026 · Seth Grief-Albert, Jessica Bo, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Works count: 19
Citation count: 12
H-index: 2
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