Papers by Gene Beaufrand

1 papers
Deconstructing Instruction-Following: A New Benchmark for Granular Evaluation of Large Language Model Instruction Compliance Abilities (2026.eacl-long)

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Challenge: Existing benchmarks for ensuring Large Language Models (LLMs) follow complex instructions fail to reflect real-world use or isolate compliance from task success.
Approach: They propose a modular framework that uses a dynamically generated dataset with up to 20 application-oriented generation constraints to enable a granular and independent analysis of LLM instruction compliance.
Outcome: The proposed framework reveals that compliance is not a monolithic capability but varies significantly with constraint type, quantity, and position.

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