Search Results for author: Nicolas Chesneau

Found 5 papers, 0 papers with code

ClimateQ&A: Bridging the gap between climate scientists and the general public

no code implementations18 Mar 2024 Natalia De La Calzada, Théo Alves Da Costa, Annabelle Blangero, Nicolas Chesneau

This research paper investigates public views on climate change and biodiversity loss by analyzing questions asked to the ClimateQ&A platform.

Chatbot

Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations

no code implementations19 Feb 2024 Milan Bhan, Jean-Noel Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot

Incorporating natural language rationales in the prompt and In-Context Learning (ICL) has led to a significant improvement of Large Language Models (LLMs) performance.

In-Context Learning

TIGTEC : Token Importance Guided TExt Counterfactuals

no code implementations24 Apr 2023 Milan Bhan, Jean-Noel Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot

Counterfactual examples explain a prediction by highlighting changes of instance that flip the outcome of a classifier.

counterfactual Feature Importance

Evaluating self-attention interpretability through human-grounded experimental protocol

no code implementations27 Mar 2023 Milan Bhan, Nina Achache, Victor Legrand, Annabelle Blangero, Nicolas Chesneau

A human-grounded experiment is conducted to evaluate and compare CLS-A to other interpretability methods.

Detecting Parts for Action Localization

no code implementations19 Jul 2017 Nicolas Chesneau, Grégory Rogez, Karteek Alahari, Cordelia Schmid

In this paper, we propose a new framework for action localization that tracks people in videos and extracts full-body human tubes, i. e., spatio-temporal regions localizing actions, even in the case of occlusions or truncations.

Action Localization

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