Giovanni Trappolini

49 posts

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Giovanni Trappolini

Giovanni Trappolini

@GioTrappolini

Research Fellow in AI @Sapienza_Engineering

Katılım Aralık 2016
280 Takip Edilen146 Takipçiler
athletic coder
athletic coder@athleticKoder·
You're in a ML Engineer interview at Perplexity , and they ask: "Your RAG system retrieves at 80% accuracy but only answers correctly 50% of the time. What's wrong?" Here's is how you answer:
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Giovanni Trappolini
Giovanni Trappolini@GioTrappolini·
LLMs aren't humans, so why evaluate RAG with human-centric metrics? Traditional IR metrics fail to predict RAG performance because: ❌They assume sequential reading ❌They ignore that some docs actively distract LLMs Meet UDCG: a new metric w/ 36% ⬆️ corr. to actual performance✅
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Giovanni Trappolini
Giovanni Trappolini@GioTrappolini·
🚀Huge congratulations to Florin! 🏆 If reading the research paper isn't your thing, no worries—you can listen to the generated podcast instead, and it's actually pretty good. Quoting from it, "It's going to sound crazy! shorturl.at/NlVGc
M2L school@M2lSchool

Well done to our 'Best Poster Award' winners! One of our winners is @FlorinCuconasu with "The Power of Noise: Redefining Retrieval for RAG Systems". Congrats!! #M2LSummerSchool

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Giovanni Trappolini
Giovanni Trappolini@GioTrappolini·
Almost ready for the second keynote here at the IR-RAG workshop! Finish up your lunch and come to the presidential ballroom for Dr. Zhang presentation! @yuhaozhangx
GIF
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Giovanni Trappolini
Giovanni Trappolini@GioTrappolini·
"Seldom is a glance at the statistics enough to understand the meaning of the figures" 🤔 Fromm had clearly RAG in mind when uttering these words! ✍️ Read our paper to find out more about BaseVsInstruct for RAG! 🚩
Fabrizio Silvestri@fabreetseo

📷 Excited to share our latest research on Retrieval Augmented Generation (RAG) systems! We found that base LLMs outperform instructed ones in RAG tasks by 20%! Dive into the details here: arxiv.org/abs/2406.14972 #AI #NLP #RAG #Research

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Giovanni Trappolini
Giovanni Trappolini@GioTrappolini·
p.s. We have now added a statement clarifying that we use the instruct-version of the LLMs.
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Giovanni Trappolini
Giovanni Trappolini@GioTrappolini·
📢 Check out the refined version of “The Power of Noise: Redefining Retrieval for RAG Systems”! accepted @SIGIR2024. A huge thank you to the reviewers and the research community for your invaluable feedback—it has significantly improved the paper. (1/n)
Giovanni Trappolini tweet media
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