Expand benchmarks section in README.md#2
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Added new benchmarks and metrics for evaluating agent memory systems, including accuracy, recall, robustness, and efficiency. Updated references and added descriptions for various benchmarks.
Beliefuture
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Jul 5, 2026
| Junhao Zheng, Xidi Cai, Qiuke Li, et al. *arXiv 2025*. [[Paper](https://arxiv.org/abs/2505.11942)] | ||
| - Evaluates sequential procedural skill transfer across structurally related database, operating system, and knowledge graph tasks (1,396 tasks sharing atomic skills) | ||
| 2. **LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks**      | ||
| *Yushi Bai, Shangqing Tu, Jiajie Zhang, et al. ACL 2025 / arXiv 2024.* [[Paper](https://arxiv.org/abs/2412.15204)] [[Dataset](https://huggingface.co/datasets/zai-org/LongBench-v2)] [[Github](https://github.com/THUDM/LongBench)] |
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Added new benchmarks and metrics for evaluating agent memory systems, including accuracy, recall, robustness, and efficiency. Updated references and added descriptions for various benchmarks.