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20172026
most citedTIGTEC : Token Importance Guided TExt Counterfactuals

1 citations · 2 across the 15 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.AI2024

Magazine Supply Optimization: a Case-study

Duong Nguyen, Ana Ulianovici, Sami Achour +2

Supply optimization is a complex and challenging task in the magazine retail industry because of the fixed inventory assumption, irregular sales patterns, and varying product and p…

stat.ML2024

Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges

Audrey Poinsot, Alessandro Leite, Nicolas Chesneau +2

This paper provides a comprehensive review of deep structural causal models (DSCMs), particularly focusing on their ability to answer counterfactual queries using observational dat…

cs.CL2024★ 1 cited

Mitigating Text Toxicity with Counterfactual Generation

Milan Bhan, Jean-Noel Vittaut, Nina Achache +5

Toxicity mitigation consists in rephrasing text in order to remove offensive or harmful meaning. Neural natural language processing (NLP) models have been widely used to target and…

cs.CY2024

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

Natalia De La Calzada, Théo Alves Da Costa, Annabelle Blangero +1

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

cs.LG2024

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

Milan Bhan, Jean-Noel Vittaut, Nicolas Chesneau +1

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