In-Model context compression with agentic soft tokens for long-horizon LLM agents
Read the original at arxiv.org→arXiv:2610.41291v1 Announce Type: new Abstract: Long-horizon LLM agents play an important role in solving complex and sustained tasks, with ever-growing interaction contexts. However, these accumulated contexts will...
Original headline: "In-Model Context Compression with Agentic Soft Tokens for Long-Horizon LLM Agents"
Coverage timeline
- Nov 2, 05:00 UTC arXiv cs.CL lead source In-Model Context Compression with Agentic Soft Tokens for Long-Horizon LLM Agents
- Nov 2, 05:00 UTC arXiv cs.LG Kernel-based Interpolatory Methods for Context Compression of Attention Mechanisms