作者位次 #4/7ACL 2026Findings· Findings of ACL
Scaling Unverifiable Rewards: A Case Study on Visual Insights
Shuyu Gan · James Mooney · Pan Hao · Renxiang Wang · Mingyi Hong · Qianwen Wang · Dongyeop Kang
摘要
Large Language Model (LLM) agents can increasingly automate complex reasoning through Test-Time Scaling (TTS), an iterative refinement process guided by reward signals.However, many real-world tasks involve multi-stage pipelines whose final outcomes lack verifiable rewards or sufficient data to t...