most citedChain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

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cs.AI2026

GRASP: GRanularity-Aware Search Policy for Agentic RAG

Varun Gandhi, Jaewook Lee, Shantanu Todmal +4

Agentic retrieval-augmented generation (RAG) extends static RAG by allowing language models to iteratively reason, generate search queries, retrieve evidence, and predict answers.…

cs.AI2026

Hierarchical Experimentalist Agents

Abhranil Chandra, Sankaran Vaidyanathan, Utsav Dhanuka +2

Large language models (LLMs) are increasingly used to act in the real world and augment human decision-making, yet most systems rely on parametric knowledge acquired through imitat…