TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants-Reference-Cited by-同舟云学术

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TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants

Published:2024-07-10 Issue: Volume: Page:819-829
ISSN:
Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Aliannejadi Mohammad¹^ORCID,Abbasiantaeb Zahra²^ORCID,Chatterjee Shubham³^ORCID,Dalton Jeffrey³^ORCID,Azzopardi Leif⁴^ORCID

Affiliation:

1. University of Amsterdam, Amstedam, Netherlands

2. IVI, University of Amsterdam, Amsterdam, United Kingdom

3. University of Edinburgh, Edinburgh, United Kingdom

4. Computer and Information Sciences, University of Strathclyde, Glasgow, United Kingdom

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657860

Reference31 articles.

1. Zahra Abbasiantaeb and Mohammad Aliannejadi. 2024. Generate then Retrieve: Conversational Response Retrieval Using LLMs as Answer and Query Generators. arxiv: 2403.19302 [cs.IR]

2. Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions

3. Mohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee, Jeffery Dalton, and Leif Azzopardi. 2024. TREC iKAT 2023: The Interactive Knowledge Assistance Track Overview. In Text REtrieval Conference (TREC). NIST.

4. Leif Azzopardi Mateusz Dubiel Martin Halvey and Jeffery Dalton. 2018. Conceptualizing agent-human interactions during the conversational search process. In The second international workshop on conversational approaches to information retrieval.

5. Some(what) grand challenges for information retrieval

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