1 citations · 1 across the 4 of their papers we have counts for
4 papers
PAQA: Toward ProActive Open-Retrieval Question Answering
Pierre Erbacher, Jian-Yun Nie, Philippe Preux +1
Conversational systems have made significant progress in generating natural language responses. However, their potential as conversational search systems is currently limited due t…
Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book Question Answering
Pierre Erbacher, Louis Falissar, Vincent Guigue +1
While Large Language Models (LLM) are able to accumulate and restore knowledge, they are still prone to hallucination. Especially when faced with factual questions, LLM cannot only…
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…