Paolo Cremonesi

51 posts

Paolo Cremonesi

Paolo Cremonesi

@crmpla67

Katılım Ekim 2013
20 Takip Edilen223 Takipçiler
Paolo Cremonesi
Paolo Cremonesi@crmpla67·
With a few selected prompts, I can identify which LLM engine is being used by #ChatbotArena. At this point, if I am a malicious agent, I can carry out several rounds of evaluation, and each time I identify my target LLM, I can vote accordingly.
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Paolo Cremonesi
Paolo Cremonesi@crmpla67·
We are proud to announce that a team of @Polimi students the winners of the prestigious @ACMRecSys Challange 2023 as the best academic team
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Xavier (Xavi) Amatriain
Netflix algorithms vs. GPT4. I know I am shooting myself in the foot here a bit, but I am getting much better Netflix recommendations from GPT4 than from Netflix.
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Nicolò Felicioni
Nicolò Felicioni@nicolofelicioni·
I am thrilled to announce that our paper "Off-Policy Evaluation with Deficient Support Using Side Information" has been accepted at #NeurIPS2022 !🥳 @Maurizio_fd M. Restelli @crmpla67
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Cleafy LABS
Cleafy LABS@cleafylabs·
We’re thrilled to announce that our @Cleafy LABS research “TeaBot: a new Android malware emerged in Italy, targets banks in Europe” has been quoted into @Apple’s paper “Building a Trusted Ecosystem for Millions of Apps”. Read the full report➡️hubs.ly/H0-xBPb0 #teabot
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Paolo Cremonesi
Paolo Cremonesi@crmpla67·
With this first project we are just peeking at what the future promises for all of us, and I hope this is just the beginning of a new, great adventure. Call me naïve, but that's what makes me a researcher.
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Paolo Cremonesi
Paolo Cremonesi@crmpla67·
I have a vision, a vision in which quantum computing will push artificial intelligence far beyond the limits of our imagination. I believe we are on the brink of a new era.
Moviri@moviri

A collaboration between @moviri, @contentwisetv and @AWS bears quantum fruit! Our research team, led by Paolo Cremonesi, develops an innovative quantum approach to improve recommendation algorithms using Amazon Braket. Read the AWS Quantum Computing Blog: loom.ly/76-w6Uw

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Maurizio Ferrari Dacrema 🇪🇺
I am glad we were invited to present our TOIS paper "A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research" at #SIGIR2021. The second session will be at 2-3 AM for me, I have never given a presentation this late. Let's see how it goes😂
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James Kirk
James Kirk@Jiminy_Kirket·
@karlhigley Dacrema is out here taking no prisoners You love to see it
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