MedAgentBench

A framework called LLM-as-a-Verifier evaluates complete agent trajectories without additional model training by computing an expected score from the probability distribution across possible scoring to…

LLM-as-a-Verifier, a framework for fine-grained agent feedback, reports that self-verification with DeepSeek V4 Flash outperforms Claude Fable 5 on Terminal-Bench 2.1, achieving 86.5% ± 1.1% Pass@1 fo…

Researchers introduced LLM-as-a-Verifier, a general-purpose verification framework that computes continuous scores from scoring token logits to determine solution correctness without additional traini…