Author

Ke-Hao Zhang

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#artificial intelligence Feb 2026

Learning to Remember: End-to-End Training of Memory Agents for Long-Context Reasoning

This work introduces Unified Memory Agent for a one-to-many setting: query-agnostic external memory is constructed once from a stream and reused across multiple future QA sessions, and introduces Ledger-QA, a diagnostic benchmark for long-horizon state tracking over accumulated updates.

Ke-Hao Zhang, Shang-Tong Gui, Sheng-Zun Yang et al. · arXiv.org · 6 citations