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papersTODAY 04:00 UTC

MTAC-IFBench: Benchmarking Instruction-Following in Multi-Turn Agentic Coding

A new arXiv paper introduces MTAC-IFBench, a benchmark aimed at measuring how well large language model agents follow instructions across multi-turn coding sessions. The work targets agentic software engineering, where models plan, run code, and call external tools over successive steps rather than producing a single answer. It addresses evaluation beyond functional correctness, focusing on whether agents keep to the constraints given to them.