Our LoRA-MCL approach is highly effective in terms of accuracy and diversity of the outputs and generalizes across different modalities for captioning: audio-language models, vision-language models,…

This is the final work from my PhD, in collaboration with @abursuc @Mldhug @MathieuFontai19 @.grichard @.slimessid @ptrkprz at @valeoai and @telecomparis Our poster presentation is Thu, Jul 9, 2026 •…

is heading to #ICML2026 and #ACL2026 with two papers: - diverse LLM decoding with LoRA-MCL - counterfactual explanations for driving LLMs with DRIV-EX 🧵👇