3 citations · 5 across the 5 of their papers we have counts for
5 papers
Augmenting Ad-Hoc IR Dataset for Interactive Conversational Search
Pierre Erbacher, Jian-Yun Nie, Philippe Preux +1
A peculiarity of conversational search systems is that they involve mixed-initiatives such as system-generated query clarifying questions. Evaluating those systems at a large scale…
CIRCLE: Multi-Turn Query Clarifications with Reinforcement Learning
Pierre Erbacher, Laure Soulier
Users often have trouble formulating their information needs into words on the first try when searching online. This can lead to frustration, as they may have to reformulate their…
Improving generalization in large language models by learning prefix subspaces
Louis Falissard, Vincent Guigue, Laure Soulier
This article focuses on large language models (LLMs) fine-tuning in the scarce data regime (also known as the "few-shot" learning setting). We propose a method to increase the gene…
Dynamic Named Entity Recognition
Tristan Luiggi, Laure Soulier, Vincent Guigue +2
Named Entity Recognition (NER) is a challenging and widely studied task that involves detecting and typing entities in text. So far,NER still approaches entity typing as a task of…
Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs
Hanane Djeddal, Thomas Gerald, Laure Soulier +2
In this work, our aim is to provide a structured answer in natural language to a complex information need. Particularly, we envision using generative models from the perspective of…