arXiv cs.AI
· Papers
Diagnosing and Mitigating Context Rot in Long-horizon Search
arXiv:2606.29718v2 Announce Type: replace-cross Abstract: Extensive context has become the norm as Large Language Models (LLMs) are increasingly deployed in long-horizon search tasks. The concern that increasing context length degrades model capabilities, known as context rot, has become a widely recognized issue for t