Author

Qian-Yu Guo

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#artificial intelligence Preprint Oct 2026

Learn2Play Bench: How Well Do LLM Agents Learn from Experience in Unfamiliar Environments?

Learning from experience is essential for LLM agents to adapt to unfamiliar and dynmaic environments. Evaluating this ability is therefore important for understanding how effectively agents acquire and use new knowledge. Existing benchmarks have sought to evaluate this ability, but they primarily evaluate tasks whose r...

Yi-Bo Li, Jin-Hang Qiu, Zhi Zheng et al. · 0 citations

#artificial intelligence Preprint Mar 2026

Towards Natural Personalization: Evaluating Long-Horizon Preference Following in Personalized User-LLM Interactions

This work proposes RealPref, a benchmark for evaluating natural preference-following in personalized user-LLM interactions, and finds that LLM performance drops significantly as context length grows and preference expression becomes more implicit, and that generalizing user preference understanding to unseen scenarios...

Qian-Yu Guo, Yi-Bo Li, Yue Liu et al. · 7 citations · ⚡1