LongBanana is introduced, to the authors' knowledge the first expert-designed and expert-verified benchmark for long-context multi-reference image synthesis in the age of agent-driven image generation, and experiments show that minimal agent harnesses improve over direct generation, while a ReAct-Plan-Exec-Reflect (RPR...
Hao-Xiang Cao, Yuxuan Zhang, Peng-Hui Du et al.· 0 citations
A model's failures can reveal gaps in the behavioral criteria guiding its training. We introduce RubricOpt, a framework that lets a policy revise these criteria within preference optimization. The policy diagnoses its own rubric-free outputs, retains requirements already covered by the rubric, and edits clauses that le...
Wei Chen, Yu-Bing Wu, Shi-Gui Li et al.· 0 citations
Reinforcement learning with verifiable rewards (RLVR) trains language models from checked task outcomes, but assigning a terminal reward to individual reasoning tokens or actions remains difficult. Group-relative methods such as Group Relative Policy Optimization (GRPO) sample several attempts per prompt, but lose thei...
Wei Chen, Yu-Bing Wu, Zhou-Shi Xu et al.· 0 citations
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