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Vamsidhar Kamanuru

1 accepted papers

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,…

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