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Author

Binchi Zhang

University of Virginia

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Preprint Aug 2026

Level-k Distinguishable Mechanisms for Evaluating Bounded Rationality in LLMs

This work formalises a necessary level-K distinguishability condition for strategic depth inference and builds a suite of novel game structures that meet this standard, and finds that model models maintain accurate strategic depth under recursive reasoning, with strong internal consistency between stated reasoning and actions at every level.

Binchi Zhang, Atrisha Sarkar · 0 citations
Conference Open access 2026

LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory

This work investigates the problem of LLM knowledge updates, which requires simultaneously unlearning unwanted information and learning new knowledge, and proposes LOKA, a conflict-aware framework for Large language mOdel Knowledge updAtes.

Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng et al. · 0 citations

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