Walert: Putting Conversational Information Seeking Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot-Reference-Cited by-同舟云学术

Walert: Putting Conversational Information Seeking Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot

Published:2024-03-10 Issue: Volume:109 Page:401-405
ISSN:
Container-title:Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval
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Author:

Pathiyan Cherumanal Sachin¹^ORCID,Tian Lin¹^ORCID,Abushaqra Futoon M.¹^ORCID,Magnossão de Paula Angel Felipe²^ORCID,Ji Kaixin¹^ORCID,Ali Halil¹^ORCID,Hettiachchi Danula¹^ORCID,Trippas Johanne R.¹^ORCID,Scholer Falk¹^ORCID,Spina Damiano¹^ORCID

Affiliation:

1. School of Computing Technologies, RMIT University, Australia

2. Unversitat Politècnica de València, Spain

Funder

Australian Research Council Centre of Excellence for Automated Decision-Maksing and Society

Australian Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3627508.3638309

Reference20 articles.

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3. Ranking Interruptus

4. Vicki Couzens, Jeph Neale, Hilary Jackman, Grace Leone, and Jessica Clark. 2019. Wurrunggi Biik: Law Of The Land. https://issuu.com/rmitculture/docs/wurrunggi_biik_law_of_the_land Accessed: 15 Dec 2023.

5. Aniket Deroy, Kripabandhu Ghosh, and Saptarshi Ghosh. 2023. How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?. In Proceedings of the 3rd Workshop on Artificial Intelligence and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2023). https://ceur-ws.org/Vol-3423/paper2.pdf

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