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Kaiser Sun

Johns Hopkins University

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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
#artificial intelligence Preprint Sep 2026

PrimeScientist: Strategic Allocation of Research Effort in Autonomous Research

This work introduces PrimeScientist, which jointly determines research direction and resource investment across successive research attempts, and proposes an adaptive MCTS-based allocation policy that balances exploration and exploitation using experimental feedback and remaining resources.

Xinle Yu, Fan Bai, Kaiser Sun et al. · 0 citations

Last Translation Benchmark

The Last Translation Benchmark is introduced, a collection of human-authored and peer-reviewed examples that break leading machine translation models and a new evaluation approach: each example comes with handcrafted verification rules describing concrete failure cases on that example, therefore allowing reliable and a...

Vilém Zouhar, Niyati Bafna, Mukund Choudhary et al. · 0 citations

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