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Pierre-Carl Langlais

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#natural language process... Preprint Oct 2026

Wikidata Search Traces: A Dataset for Training Knowledge Graph Search Agents

Wikidata is one of the largest open knowledge bases, yet answering a complex question over it still requires a SPARQL query that names the right entities and properties and chains their relations. Language models offer a natural-language alternative but answer largely from memory, which is least reliable for less promi...

Mohamed Chenene, C. Rosas Hinostroza, A. Stasenko et al. · 0 citations
#machine learning Preprint Sep 2026

It's All Training: A Fully Synthetic Single-Stage Recipe for LLMs

Current pre-training datasets are derived from web crawls, with all their issues, and were not designed to support mid- and post-training pipelines--for instance, they contain little explicit reasoning. Thus, many frontier labs have begun to develop their own internal datasets, starting from state-of-the-art models, to...

Pierre-Carl Langlais, Pieter Delobelle, Yannick Detrois et al. · 0 citations
#natural language process... Preprint Apr 2025

Who Benchmarks the Benchmarks? Towards Comprehensive Evaluation of Commonsense Reasoning Benchmarks

BenCheck is proposed, a package for benchmark validity analysis that encapsulates the main checks performed in a case study on HellaSwag and can be used to audit commonsense reasoning benchmarks, including PIQA, Global PIQA, and Winogrande.

Pavel Chizhov, Anton Changalidis, Vishnu Prasad Vijaya Kumar et al. · 9 citations · ⚡2

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