FOCUS: Training-Free Decision-Preserving Context Compression for LLM Agents
cs.AI, cs.CL
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
- MemGPT: Towards LLMs as Operating Systems
- ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
- Scaling Long-Horizon LLM Agent via Context-Folding
- OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation
- ReAct: Synergizing Reasoning and Acting in Language Models
- PAACE: A Plan-Aware Automated Agent Context Engineering Framework
- MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
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