EditAgent expands tools and verification for agentic image editing
Experts preferred parallel listwise judging over sequential refinement in 78.5% of decided comparisons.
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Experts preferred parallel listwise judging over sequential refinement in 78.5% of decided comparisons.
Authors say Flora labels 200,000 hours a day and is about 125 times cheaper than GPT-6 Astra.
DeCert raises position-consistent accuracy by up to 14.8 points without reference explanations.
Million-parameter ranking models personalize LLM generation more accurately and cheaply than billion-parameter reward models.
PoEM approximates a reinforcement-learning policy for a new reward from existing post-trained models, without extra RL.
A decision-only JEV judge nearly matches a top LLM judge at a fraction of the cost.
Researchers introduce Generative Verification (GenV), a generative reward model achieving 0.961 AUROC in detecting unfaithful autoformalization that preserves solver verdicts.
New ROBORMBENCH benchmark shows vision-language reward models can flip robot success/failure judgments when goal instructions are paraphrased.
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