Context Language Models
cs.AI, cs.CL, cs.LG
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/facebookresearch/context-language-models
Project page: https://autocompact.github.io
Terminology
Sources
- BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent
- MEMENTO: Teaching LLMs to Manage Their Own Context
- Meta-Harness: End-to-End Optimization of Model Harnesses
- Self-Compacting Language Model Agents
- ACM: Agentic Context Management for Long Horizon Tasks
- CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents
- Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
- AlphaEvolve: A coding agent for scientific and algorithmic discovery
- MemGPT: Towards LLMs as Operating Systems
- Think Dense, Not Long: Dynamic Decoupled Conditional Advantage for Efficient Reasoning
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Scaling Long-Horizon LLM Agent via Context-Folding
- AutoMem: Automated Learning of Memory as a Cognitive Skill
- ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization
- SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
- Meta Context Engineering via Agentic Skill Evolution
- AgentFold: Long-Horizon Web Agents with Proactive Context Management
- Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents
- Recursive Language Models
- Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
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