{"work":{"id":"ac66fe72-b869-4874-8a9d-c110b849da0c","openalex_id":null,"doi":null,"arxiv_id":"2507.02259","raw_key":null,"title":"MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent","authors":null,"authors_text":"Hongli Yu, Tinghong Chen, Jiangtao Feng, Jiangjie Chen, Weinan Dai, Qiying Yu","year":2025,"venue":"cs.CL","abstract":"Despite improvements by length extrapolation, efficient attention and memory modules, handling infinitely long documents with linear complexity without performance degradation during extrapolation remains the ultimate challenge in long-text processing. We directly optimize for long-text tasks in an end-to-end fashion and introduce a novel agent workflow, MemAgent, which reads text in segments and updates the memory using an overwrite strategy. We extend the DAPO algorithm to facilitate training via independent-context multi-conversation generation. MemAgent has demonstrated superb long-context capabilities, being able to extrapolate from an 8K context trained on 32K text to a 3.5M QA task with performance loss < 5% and achieves 95%+ in 512K RULER test.","external_url":"https://arxiv.org/abs/2507.02259","cited_by_count":null,"metadata_source":"pith","metadata_fetched_at":"2026-05-25T04:20:19.537427+00:00","pith_arxiv_id":"2507.02259","created_at":"2026-05-09T23:29:43.771823+00:00","updated_at":"2026-06-05T21:23:00.469572+00:00","title_quality_ok":true,"display_title":"MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent","render_title":"MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent"},"hub":{"state":{"work_id":"ac66fe72-b869-4874-8a9d-c110b849da0c","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":37,"external_cited_by_count":null,"distinct_field_count":7,"first_pith_cited_at":"2025-07-07T17:59:54+00:00","last_pith_cited_at":"2026-05-22T12:59:16+00:00","author_build_status":"not_needed","summary_status":"needed","contexts_status":"needed","graph_status":"needed","ask_index_status":"not_needed","reader_status":"not_needed","recognition_status":"not_needed","updated_at":"2026-06-11T02:47:24.718265+00:00","tier_text":"hub"},"tier":"hub","role_counts":[{"context_role":"background","n":6}],"polarity_counts":[{"context_polarity":"background","n":6}],"runs":{},"summary":{},"graph":{},"authors":[]}}