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6 papers · 2 filters
Can Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking?
Weronika Łajewska, Krisztian Balog, Damiano Spina +1
Information-seeking dialogues span a wide range of questions, from simple factoid to complex queries that require exploring multiple facets and viewpoints. When performing explorat…
An Investigation of Prompt Variations for Zero-shot LLM-based Rankers
Shuoqi Sun, Shengyao Zhuang, Shuai Wang +1
We provide a systematic understanding of the impact of specific components and wordings used in prompts on the effectiveness of rankers based on zero-shot Large Language Models (LL…
Characterizing Information Seeking Processes with Multiple Physiological Signals
Kaixin Ji, Danula Hettiachchi, Flora D. Salim +2
Information access systems are getting complex, and our understanding of user behavior during information seeking processes is mainly drawn from qualitative methods, such as observ…
Explainability for Transparent Conversational Information-Seeking
Weronika Łajewska, Damiano Spina, Johanne Trippas +1
The increasing reliance on digital information necessitates advancements in conversational search systems, particularly in terms of information transparency. While prior research i…
Generative Information Retrieval Evaluation
Marwah Alaofi, Negar Arabzadeh, Charles L. A. Clarke +1
In this chapter, we consider generative information retrieval evaluation from two distinct but interrelated perspectives. First, large language models (LLMs) themselves are rapidly…
Walert: Putting Conversational Search Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot
Sachin Pathiyan Cherumanal, Lin Tian, Futoon M. Abushaqra +7
Creating and deploying customized applications is crucial for operational success and enriching user experiences in the rapidly evolving modern business world. A prominent facet of…