
RMIT Centre for Info Discovery & Data Analytics
@rmit_cidda
@RMIT @ResearchRMIT Centre for Information Discovery and Data Analytics (CIDDA)
ID: 1187585868493537280
http://rmit.edu.au/cidda 25-10-2019 04:25:27
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Listening at the Tiger talk by Weronika Lajewska on response generation for conversational information-seeking systems RMIT Centre for Info Discovery & Data Analytics @AdmsCentre




Search and recsys down under is more alive than ever! The Melbourne Search and Recommendation Group has reached 1k members! Mark Sanderson Vincent Li RMIT Centre for Info Discovery & Data Analytics @AdmsCentre #Melbourne #Naarm #IR #Search #RecSys meetup.com/melbourne-sear…



Evaluation has always paid a very important role in information retrieval/search. Recent advances with LLMs are bringing lots of new possibilities in getting labels. A great article about this, and delighted to see many known IR researchers being cited. searchengineland.com/quality-rater-…





Great talk and demonstration today from Meng Chen of his chatbot at Melbourne Search and Recommendation Group , RMIT School of Computing Technologies




Additional benefits of attending our IR reading group in person. ...and of having Weronika Łajewska visiting us. Thank you, they were so tasty! 🎄 RMIT Centre for Info Discovery & Data Analytics RMIT School of Computing Technologies @AdmsCentre


About to leave from Melbourne: they have been three beautiful and productive months spent with the @AdmsCentre and Society and RMIT University . Thank you Mark Sanderson, Damiano Spina 🦋@damianospina.com, Falk Scholer, Luke Gallagher, Yongli Ren and all the other friends and colleagues for the warm hospitality 👋


"Walert: Putting Conversational Information Seeking Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot" accepted as demo paper to #CHIIR2024 Sachin PC L. Tian Futoon M. abushaqra Angel Felipe Magnossão de Paula KAIXIN JI Danula Hettiachchi Johanne H. Ali & F. Scholer


"Enhancing Human Annotation: Leveraging Large Language Models and Efficient Batch Processing" accepted at #CHIIR2024 ACM CHIIR 2025 We reveal cost, time, and result improvements in aligning GPT models with human experts through batched topic annotation with J. Shane Culpepper Paul Thomas&Falk