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Tunyu Zhang

2 accepted papers

2026

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

ICLR 2026poster

While Large Language Models (LLMs) have demonstrated impressive capabilities, their output quality remains inconsistent across various application scenarios, making it difficult to identify trustworthy responses, especially in complex tasks requiring multi-step reasoning. In this paper, we propose a…

Cited by 0SourcecodeScholar
2025

Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

NAACL 2025long

Multimodal Large Language Models (MLLMs) have shown significant promise in various applications, leading to broad interest from researchers and practitioners alike. However, a comprehensive evaluation of their long-context capabilities remains underexplored. To address these gaps, we introduce the M…