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7 papers · 1 filter
Saturation-Driven Dataset Generation for LLM Mathematical Reasoning in the TPTP Ecosystem
Valentin Quesnel, Damien Sileo
The scarcity of high-quality, logically sound data is a critical bottleneck for advancing the mathematical reasoning of Large Language Models (LLMs). Our work confronts this challe…
Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization
Gabriel Loiseau, Damien Sileo, Damien Riquet +2
Text anonymization is the process of removing or obfuscating information from textual data to protect the privacy of individuals. This process inherently involves a complex trade-o…
Logic Haystacks: Probing LLMs Long-Context Logical Reasoning (Without Easily Identifiable Unrelated Padding)
Damien Sileo
Large language models demonstrate promising long context processing capabilities, with recent models touting context windows close to one million tokens. However, the evaluations s…
Attention Overflow: Language Model Input Blur during Long-Context Missing Items Recommendation
Damien Sileo
Large language models (LLMs) can suggest missing elements from items listed in a prompt, which can be used for list completion or recommendations based on users' history. However,…
Generating multiple-choice questions for medical question answering with distractors and cue-masking
Damien Sileo, Kanimozhi Uma, Marie-Francine Moens
Medical multiple-choice question answering (MCQA) is particularly difficult. Questions may describe patient symptoms and ask for the correct diagnosis, which requires domain knowle…
LIG-CRIStAL System for the WMT17 Automatic Post-Editing Task
Alexandre Berard, Olivier Pietquin, Laurent Besacier
This paper presents the LIG-CRIStAL submission to the shared Automatic Post- Editing task of WMT 2017. We propose two neural post-editing models: a monosource model with a task-spe…