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20232026
most citedInvestigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios

2 citations · 2 across the 6 of their papers we have counts for

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cs.AI2025

GroundedPRM: Tree-Guided and Fidelity-Aware Process Reward Modeling for Step-Level Reasoning

Yao Zhang, Yu Wu, Haowei Zhang +6

Process Reward Models (PRMs) aim to improve multi-step reasoning in Large Language Models (LLMs) by supervising intermediate steps and identifying errors. However, building effecti…

cs.CV2025

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding

Yilun Zhao, Lujing Xie, Haowei Zhang +16

We introduce MMVU, a comprehensive expert-level, multi-discipline benchmark for evaluating foundation models in video understanding. MMVU includes 3,000 expert-annotated questions…