2026
Agentic Context Engineering: Learning Comprehensive Contexts for Self-Improving Language Models
ICLR 2026poster
Large language model (LLM) applications such as agents and domain-specific reasoning increasingly rely on context adaptation, modifying model inputs with instructions, strategies, or evidence, rather than weight updates. While prior methods improve usability, they often suffer from a brevity bias,…