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Xuanjing Huang

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Conference Open access 2026

Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing

To mitigate a critical imbalance during the exploration-and-learning process, this work approaches head-tail re-balance during the exploration-and-learning process from two perspectives: distribution-reshaping and trajectory-resampling.

Xin Guo, Zhiheng Xi, Yiwen Ding et al. · 1 citation
Conference Open access Jul 2026

AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments

AgentGym2 is presented, a new evaluation framework with task instances grounded in real-world end-to-end working demands that measures agents'ability to execute end-to-end procedures, discover tools via exploration, compose tools for unseen tasks, and remain robust to noisy and underspecified information.

Zhiheng Xi, Dingwen Yang, Jiaqi Liu et al. · 1 citation
Book Open access Aug 2026

Interpretability in the Era of Large Language Models: Mechanistic Methodology, Empirical Practices, and Applications

This tutorial provides a comprehensive, end-to-end view of LLM interpretability, transitioning from microscopic neural analysis to macroscopic application and deployment, and explores how these interpretability paradigms scale and inspire the design of frontier architectures, agentic systems, and thinking models.

Wei Zhang, Zhengfu He, Lucia Zhang et al. · 0 citations