High Performance Computing Lab @ ISTI-CNR, Pisa, Italy.

Joined November 2011
24 Photos and videos
🚀 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.
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These works have been supported by the @EfraProject Extreme Food Risk Analytics.
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The accepted contributions span a range of topics, from neural and efficient retrieval and #ConversationalSearch to counterfactual user modeling and resource-efficient #AI.
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Saving Energy Without Wasting Power: The Algorithm That Optimises AI Datacenters medium.com/@beatrice.rapisar… This work has been supported by the @EfraProject #SustainableAI #GreenComputing
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Scaling sparse embeddings to 138 M vectors—in milliseconds! Discover the Evolution of Sparse Information Retrieval. medium.com/@beatrice.rapisar… @EfraProject @fmnardini #informationretrieval #LargeLanguageModels
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Can Smaller Language Models Compete with ChatGPT? A New Study Has the Answer! medium.com/p/can-smaller-lan… Work supported by the @EfraProject #ConversationalAI #LLMs #ChatGPT #ConversationalSearch #NLP #ArtificialIntelligence
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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 👉link.medium.com/Km1kOKI02Ob Work supported by @EfraProject
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The paper "Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations" was partially supported by @EfraProject - Horizon Europe RIA “Extreme Food Risk Analytics” . dl.acm.org/doi/10.1145/36267…
Best Paper Runner-up award at @SIGIRConf for our paper "Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations". Congratulation to @fmnardini @snbruch @cosimorulli1 @rventurini_ 👉dl.acm.org/doi/10.1145/36267… #InformationRetrieval #SIGIR2024 @IstiCnr
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Best Paper Runner-up award at @SIGIRConf for our paper "Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations". Congratulation to @fmnardini @snbruch @cosimorulli1 @rventurini_ 👉dl.acm.org/doi/10.1145/36267… #InformationRetrieval #SIGIR2024 @IstiCnr
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📜DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts. A new publication by @raffaele_perego @ntonellotto Conference proceedings from @ecir2024 link.springer.com/chapter/10… This work is supported by @EfraProject #EFRA #InformationRetrieval #IR #ECIR
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📜Towards Robust Expert Finding incommunity questionn Answering Platforms. A new publication by Maddalena Amendola, @andrepassarella @raffaele_perego. Conf proceedings @ecir2024 link.springer.com/chapter/10… This work is supported by @EfraProject #EFRA #InformationRetrieval #IR #ECIR
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📜Efficient Multi-vector Dense Retrieval with Bit Vectors. A new publication by @fmnardini @cosimorulli1 @rventurini_ . Conference proceedings from @ecir2024 This work is supported by @EfraProject #EFRA #InformationRetrieval #IR #ECIR
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HPC Lab @ ISTI-CNR retweeted
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!
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Enhancing Conversational Search with Large Language Models. An article by @GuidoRocchietti @fmnardini @CriMuntean on @ercim_news Read the article👇 ercim-news.ercim.eu/en136/sp… #EFRA @EfraProject #HorizonEurope #ResearchImpactEU #AI #foodsafety #data #datamining #research
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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
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Our paper " Towards Transparent and Robust Expert Finding in Community Question Answering Platforms" has been accepted at @ecir2024 in the IR4Good track. This work has been supported by @EfraProject @maddalena0112 @andrepassarella @raffaele_perego #informationretrieval
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Our long paper " Efficient Multi-Vector Dense Retrieval with Bit Vectors" has been accepted at @ecir2024 This work has been supported by @EfraProject @fmnardini @cosimorulli1 @rventurini_ #informationretrieval
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