Tenure Track Assistant Professor @SapienzaRoma | @ELLISforEurope member.

Rome
Joined December 2011
Even arbitrary labels can divide LLM agents into factions. In our study, revealing peers’ model families cut success from 96% to 81%. Shuffling the labels shifted who grouped with whom. A small prompt detail with real costs for multi-agent cooperation. 👇
[1/9] We gave LLM agents one piece of information: which model family each peer came from. They split into factions. The catch: nearly every frontier model's system prompt already says which model it is. So today's multi-agent systems are already running this experiment. 🧐
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Indro Spinelli retweeted
Students sometimes ask me if it still makes sense, in this accelerating age, to pursue a PhD in AI. Perhaps counterintuitively, I think it's a great time to do so. I wrote up some thoughts on this here: web.mit.edu/phillipi/www/wri…
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Indro Spinelli retweeted
Introducing Limite 1B - Violetto. A model for high-frequency mathematical intelligence.
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Sorry for the quality but Yann’s talk got me excited. Saturday at 3 PM, pass by poster #365 to chat about world models that do not generate pixels and steer your robot towards safety and successful actions!
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With BiCICLe, an off-the-shelf text LLM coordinates two arms via multi-agent in-context learning. It beats supervised baselines and transfers straight to real-world tasks. Huge effort by @palm_alessio and the team at @TUDarmstadt. See you in Texas for #CoRL2026! 🤖
1/🧵 Can an off-the-shelf, text-only LLM control two robot arms from just a few demonstrations? That’s the question behind BiCICLe, our work on bimanual robot manipulation, now accepted to #CoRL2026 🤖🤖
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Indro Spinelli retweeted
One of the clearest arguments I've read for why openness matters. Worth 2 minutes of your time. @andykonwinski puts into words something many of us have been feeling: -- "Democracy is built on a profound skepticism of concentrated power. Open science shares this principle. Both are built on the idea that progress and legitimacy emerge from broad, distributed participation rather than concentrated, gated authority." "If our best scientists and engineers can only reach the frontier by joining a handful of secretive labs, we do not have an open research ecosystem. We do not have a truly competitive market. We have a system in which participation increasingly depends on the permission of a few individuals at a small number of private companies." "The challenge now is to build a new commons at the intersection of academia, industry, and the public interest. This research commons must be ambitious enough to matter. It will require frontier-scale compute, access to state-of-the-art models, operational support, public investment, and philanthropic capital. It will require companies willing to contribute to an ecosystem larger than themselves, so that they can continue to benefit from open research."
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Many world models for robots assumes you have to render the future to know if an action will fail. Our #ECCV26 says... you don't. You can learn to verbalise future failures just from the current policy latents and selected actions🧵
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Huge thanks to all the amazing people that worked on the project: @MaxPappa_, Luca Romani, Valentino Sacco, @palm_alessio Stéphane Lathuilière, @GalassoFab10, Xavier Alameda-Pineda, @SapienzaPINlab. And also to #NVIDIAGrant for the DGX Spark that handled the experiments!
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Indro Spinelli retweeted
Very happy to share that our paper “Describe-Then-Act: Proactive Agent Steering via Distilled Language-Action World Models” has been accepted to 𝐄𝐂𝐂𝐕 𝟐𝟎𝟐𝟔! 🎉 #ECCV2026 #ComputerVision #Robotics #AgenticAI #EmbodiedAI #WorldModels
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Beyond Euclidean: Hyperbolic Deep Learning for Computer Vision workshop is back for @ECCV 2026! 📍 Malmö, Sweden | 🗓️ Sept 8–9, 2026 Euclidean geometry has long been the default for deep nets, but it's not always the right fit! Discover more here: sites.google.com/view/beyond…
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How much does a language model forget when finetuned on new tasks? We show both model size and optimization matter and forgetting can be nearly eliminated with self-generated replay! arxiv.org/abs/2605.26097 w/@mrtnm @dongkyucho @ShikaiQiu @rumichunara @Pavel_Izmailov 1/8
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Indro Spinelli retweeted
We are back at ECCV 2026! Our workshop will feature work in the beyond Euclidean space and we are accepting full paper submissions as part of our springer proceedings! Openreview link will open shortly but in the meantime check our call for papers out! @eccvconf
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Relics from the prehistoric era of AI
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alright we can't hide it anymore come and see the pringle in all its glory at @iclr_conf
LLMs are injective and invertible. In our new paper, we show that different prompts always map to different embeddings, and this property can be used to recover input tokens from individual embeddings in latent space. (1/6)
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Sad to miss #ICLR2026 this year, but our work will be there with Simone and Stefano. We propose the first training-free framework for permanently removing concepts from generative video models. 📅 Fri, Apr 24 • 11:15 AM – 1:45 PM 📍 Pavilion 4 P4-#4305 Bye bye DiCaprio!
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Hello, average (objectively attractive) man! DiCaprio-adjacent, but safely off-brand. A @SapienzaPINlab work! 🔗 Arxiv: arxiv.org/abs/2506.07891 🔗 Project page: pinlab.org/video-unlearning
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