THUIR/MemoryBench
MemoryBench MemoryBench aims to provide a standardized and extensible benchmark for evaluating memory and continual learning in LLM systems — encouraging future work toward more adaptive, feedback-driven, and efficient LLM systems. Paper Link: https://arxiv.org/abs/2510.17281 Github: https://github.com/THUIR/MemoryBench 📢 May 26, 2026 Updated: This work has been accepted at ICML 2026 and selected for a SpotLight Paper! 📢 Dec. 8, 2025 Updated: We released an extended version… See the full description on the dataset page: https://huggingface.co/datasets/THUIR/MemoryBench.
| Author / organization | THUIR |
|---|---|
| License (as declared) | mit |
| Downloads | 2.9K (as reported by Hugging Face) |
| Likes | 21 |
| Created | 1 September 2025 |
| Last updated at source | 7 July 2026 |
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