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Zhimu Zhou

2 accepted papers

2026

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning

AAAI 2026technical

Recent advancements in Large Language Models (LLMs) have shown that it is promising to utilize Process Reward Models (PRMs) as verifiers to enhance the performance of LLMs. However, current PRMs face three key challenges: (1) limited process supervision and generalization capabilities, (2) dependenc

Cited by 0SourcePDFScholar
2026

TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models

AAAI 2026technical

Vision-Language-Action (VLA) models process visual inputs independently at each timestep, discarding valuable temporal information inherent in robotic manipulation tasks. This frame-by-frame processing makes models vulnerable to visual noise while ignoring the substantial coherence between consecuti

Cited by 0SourcePDFScholar