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Pengcheng Wen

2 accepted papers

2026

What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning

AAAI 2026technical

The rapid advancement of Large Vision Language Models (LVLMs) has demonstrated excellent abilities in various visual tasks. Building upon these developments, the thinking with images paradigm has emerged, enabling models to dynamically edit and re-encode visual information at each reasoning step, mi

Cited by 0SourcePDFScholar
2025

Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA

ACL 2025finding

The recent introduction of OpenAI’s O1/O3 model represents a significant milestone in developing strong reasoning capabilities in Large Language Models (LLMs). By introducing more computational budget during test-time, LLMs have the potential to explore more accurate and higher-quality solutions. Ho…