Author

Pierre Zweigenbaum

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Open access 2026

Assessing the Difficulty of Inference Types in Natural Language Inference for Clinical Trials

Large Language Models (LLMs) achieve competitive results on Natural Language Inference when applied to clinical trials; however, it is not yet clear which type of inference LLMs perform well or poorly on. We address this by proposing new supplementary annotations for the existing NLI4CT dataset on the types of inferenc...

Mathilde Aguiar, Pierre Zweigenbaum, Nona Naderi · International Conference on... · 0 citations

#natural language process... Mar 2026

Suffix-Constrained Greedy Search Algorithms for Causal Language Models

This work introduces suffix-constrained generation, a constrained generation setting in which only the end of the response is constrained by a grammar, a scenario that is not supported by existing constrained generation methods.

Ayoub Hammal, Pierre Zweigenbaum, C. Corro · arXiv.org · 0 citations