5 citations · 24 across the 16 of their papers we have counts for
5 papers · 1 filter
Investigating LLM Variability in Personalized Conversational Information Retrieval
Simon Lupart, Daniël van Dijk, Eric Langezaal +2
Personalized Conversational Information Retrieval (CIR) has seen rapid progress in recent years, driven by the development of Large Language Models (LLMs). Personalized CIR aims to…
ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question Answering
Simon Lupart, Mohammad Aliannejadi, Evangelos Kanoulas
We present ChatR1, a reasoning framework based on reinforcement learning (RL) for conversational question answering (CQA). Reasoning plays an important role in CQA, where user inte…
Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval
Yongkang Li, Panagiotis Eustratiadis, Simon Lupart +1
This paper concerns corpus poisoning attacks in dense information retrieval, where an adversary attempts to compromise the ranking performance of a search algorithm by injecting a…
Conversational Gold: Evaluating Personalized Conversational Search System using Gold Nuggets
Zahra Abbasiantaeb, Simon Lupart, Leif Azzopardi +2
The rise of personalized conversational search systems has been driven by advancements in Large Language Models (LLMs), enabling these systems to retrieve and generate answers for…
Reproducing NevIR: Negation in Neural Information Retrieval
Coen van den Elsen, Francien Barkhof, Thijmen Nijdam +2
Negation is a fundamental aspect of human communication, yet it remains a challenge for Language Models (LMs) in Information Retrieval (IR). Despite the heavy reliance of modern ne…