Preprint2025
Rewardbench: Evaluating reward models for language modeling
Unknown
This paper introduces RewardBench, a leaderboard and evaluation suite for reward models, assessing over 80 open models to map the current landscape.
0Jan 1, 2025
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Unknown
This paper introduces RewardBench, a leaderboard and evaluation suite for reward models, assessing over 80 open models to map the current landscape.
Unknown
This paper proposes a holistic agent leaderboard to standardize AI agent evaluation and address common pitfalls, shifting focus from benchmark-acing to real-world utility.
Unknown
AgentAtlas proposes a framework for evaluating LLM agents beyond final task success, instantiated through four components.