作者位次 #4/4ICML 2026Poster· General Machine Learning / Causality
Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs
Clément Yvernes · Emilie Devijver · Marianne Clausel · Eric Gaussier
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Clément Yvernes · Emilie Devijver · Marianne Clausel · Eric Gaussier
Mitodru Niyogi · Eric Gaussier · Arnab Bhattacharya
Multilingual large language models (LLMs) are expensive to pretrain and often suffer from imbalances across languages and datasets, English-centric bias, tokenizer oversegmentation for morphologically rich low-resource languages, and the curse of multilinguality. We introduce PARAMANU, a family o...
Amaia Cardiel · Eloi Zablocki · Elias Ramzi · Eric Gaussier
Large language models (LLMs) are increasingly used as reasoning engines in autonomous driving, yet their decision-making remains opaque. We propose to study their decision process through counterfactual explanations, which identify the minimal semantic changes to a scene description required to a...