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Jing-Yu Zhang

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#artificial intelligence Preprint Oct 2026

Accurate but Not Humble: Evaluating Epistemic Humility in LLM Agents under Knowledge Conflict

When retrieved evidence contradicts an agent's prior beliefs, does it revise its answer, acknowledge uncertainty, or persist with an incorrect conclusion? Existing evaluations of agentic systems focus primarily on task success, offering limited insight into how agents handle such conflicts. We propose to evaluate agent...

Kaiser Sun, Bernal Jiménez Gutiérrez, Hong-Jun Liu et al. · 0 citations

Are Finer Citations Always Better? Rethinking Granularity for Attributed Generation

It is demonstrated that enforcing fine-grained (sentence-level) citations forfeits gains of 2-97% relative to the best-performing granularity, and up to 338% on individual tasks, and that effective attribution requires matching granularity to the model's semantic scope rather than fixing it by convention.

Hexuan Wang, Jing-Yu Zhang, Benjamin Van Durme et al. · 2 citations · ⚡1

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