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Marie-Jeanne Lesot

2 accepted papers

2025

EnergyCompress: A General Case Base Learning Strategy

IJCAI 2025

Case-based prediction (CBP) methods do not learn a model of the target decision function but instead perform an inference process that depends on two similarity measures and a reference case base. This paper proposes a strategy, called EnergyCompress, to learn an effective case base by selecting rel

2024

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

EMNLP 2024main

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, generating high-quality rationales require human-annotation or the use of auxiliary proxy models. In this work, we propose…