🚀 Exciting news from the #HPCLab@Cnr_Isti !
We are proud to share that our researchers will present six papers at @SIGIRConf 2025, the flagship conference in #InformationRetrieval and Search Technologies, which will take place from July 13 to 17 in Padua, Italy.
The accepted contributions span a range of topics, from neural and efficient retrieval and #ConversationalSearch to counterfactual user modeling and resource-efficient #AI.
Saving Energy Without Wasting Power: The Algorithm That Optimises AI Datacenters
https://t.co/9DEsVBbfYp
This work has been supported by the @EfraProject#SustainableAI#GreenComputing
How can AI rank docs effectively across distributed, biased datasets? Discover how collaborative Learning to Rank models overcome nonuniform data challenges, boosting search accuracy by up to 17.92%! 🚀 #AI#MachineLearning
👉https://t.co/7Q4AkszXg5
Work supported by @EfraProject
The paper "Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations"
was partially supported by @EfraProject - Horizon Europe RIA “Extreme Food Risk Analytics” .
https://t.co/17OZ57M17I
📜DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts. A new publication by @raffaele_perego @ntonellotto
Conference proceedings from @ecir2024
https://t.co/93hdNvG7lP
This work is supported by @EfraProject#EFRA#InformationRetrieval#IR#ECIR
Today, Andrew Yates @andrewyates from the University of Amsterdam will give an in-person seminar at ISTI-CNR (@isticnr) entitled "An encoder-centric view of neural retrieval". Thanks @andrewyates!
Our paper " DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts" has been accepted at @ecir2024 in the ECIR 2024 findings.
This work has been supported by @EfraProject
Authors: Pranav Kasela, Gabriella Pasi, @raffaele_perego @ntonellotto