LCM-Lab/MemoryRewardBench

📜 MemoryRewardBench The first benchmark to systematically evaluate Reward Models' ability to assess long-term memory management in LLMs across contexts up to 128K tokens. Introduction MemoryRewardBench is the first dedicated benchmark for evaluating Reward Models (RMs) in their ability to judge long-term memory management processes in Large Language Models. Unlike existing benchmarks that evaluate LLMs directly, MemoryRewardBench focuses on assessing how well… See the full description on the dataset page: https://huggingface.co/datasets/LCM-Lab/MemoryRewardBench.

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