✨LMEB: Long-horizon Memory Embedding Benchmark

📝 Summary:
LMEB is a new benchmark for evaluating embedding models' long-horizon memory retrieval abilities, a gap in traditional benchmarks. It assesses complex memory types and reveals that performance in standard passage retrieval does not generalize to these challenging scenarios.

🔹 Publication Date: Published on Mar 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.12572
• PDF: https://arxiv.org/pdf/2603.12572

✨ Datasets citing this paper:
• https://huggingface.co/datasets/KaLM-Embedding/LMEB

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