Francesco Ortu
@francescortu.bsky.social
NLP & Interpretability | PhD Student @ University of Trieste & Laboratory of Data Engineering of Area Science Park | Prev MPI-IS
Pinned
Francesco Ortu
@francescortu.bsky.social
· Dec 10
🚨 🚨 Excited to share our latest paper, now on #arXiv!
🖼️ We studied how unified VLMs, trained to generate both text and images (e.g., Meta's Chameleon), exchange information between modalities, comparing them to standard VLMs.
📄 Paper: arxiv.org/abs/2412.06646
Deep dive: 👇
🖼️ We studied how unified VLMs, trained to generate both text and images (e.g., Meta's Chameleon), exchange information between modalities, comparing them to standard VLMs.
📄 Paper: arxiv.org/abs/2412.06646
Deep dive: 👇
Reposted by Francesco Ortu
Excited to share that 2/2 papers from our Lab @AreaSciencePark were accepted to #NeurIPS2025 (one spotlight 🎉)
Great work everyone!
@alexpietroserra.bsky.social @francescortu.bsky.social @lbasile.bsky.social @lvaleriani.bsky.social @diegodoimo.bsky.social @maiorca.xyz @locatelf.bsky.social
Great work everyone!
@alexpietroserra.bsky.social @francescortu.bsky.social @lbasile.bsky.social @lvaleriani.bsky.social @diegodoimo.bsky.social @maiorca.xyz @locatelf.bsky.social
September 22, 2025 at 8:55 AM
Excited to share that 2/2 papers from our Lab @AreaSciencePark were accepted to #NeurIPS2025 (one spotlight 🎉)
Great work everyone!
@alexpietroserra.bsky.social @francescortu.bsky.social @lbasile.bsky.social @lvaleriani.bsky.social @diegodoimo.bsky.social @maiorca.xyz @locatelf.bsky.social
Great work everyone!
@alexpietroserra.bsky.social @francescortu.bsky.social @lbasile.bsky.social @lvaleriani.bsky.social @diegodoimo.bsky.social @maiorca.xyz @locatelf.bsky.social
Reposted by Francesco Ortu
Nice start of @neuripsconf.bsky.social!
Our work with @francescortu.bsky.social and @diegodoimo.bsky.social on the Competition of Mechanisms to understand counterfactuality in LLMs featured in the "Causality for LLMs" workshop :-)
Check out our ACL2024 paper aclanthology.org/2024.acl-long.…
Our work with @francescortu.bsky.social and @diegodoimo.bsky.social on the Competition of Mechanisms to understand counterfactuality in LLMs featured in the "Causality for LLMs" workshop :-)
Check out our ACL2024 paper aclanthology.org/2024.acl-long.…
December 10, 2024 at 8:19 PM
Nice start of @neuripsconf.bsky.social!
Our work with @francescortu.bsky.social and @diegodoimo.bsky.social on the Competition of Mechanisms to understand counterfactuality in LLMs featured in the "Causality for LLMs" workshop :-)
Check out our ACL2024 paper aclanthology.org/2024.acl-long.…
Our work with @francescortu.bsky.social and @diegodoimo.bsky.social on the Competition of Mechanisms to understand counterfactuality in LLMs featured in the "Causality for LLMs" workshop :-)
Check out our ACL2024 paper aclanthology.org/2024.acl-long.…
🚨 🚨 Excited to share our latest paper, now on #arXiv!
🖼️ We studied how unified VLMs, trained to generate both text and images (e.g., Meta's Chameleon), exchange information between modalities, comparing them to standard VLMs.
📄 Paper: arxiv.org/abs/2412.06646
Deep dive: 👇
🖼️ We studied how unified VLMs, trained to generate both text and images (e.g., Meta's Chameleon), exchange information between modalities, comparing them to standard VLMs.
📄 Paper: arxiv.org/abs/2412.06646
Deep dive: 👇
December 10, 2024 at 8:11 PM
🚨 🚨 Excited to share our latest paper, now on #arXiv!
🖼️ We studied how unified VLMs, trained to generate both text and images (e.g., Meta's Chameleon), exchange information between modalities, comparing them to standard VLMs.
📄 Paper: arxiv.org/abs/2412.06646
Deep dive: 👇
🖼️ We studied how unified VLMs, trained to generate both text and images (e.g., Meta's Chameleon), exchange information between modalities, comparing them to standard VLMs.
📄 Paper: arxiv.org/abs/2412.06646
Deep dive: 👇
Reposted by Francesco Ortu
Even as an interpretable ML researcher, I wasn't sure what to make of Mechanistic Interpretability, which seemed to come out of nowhere not too long ago.
But then I found the paper "Mechanistic?" by
@nsaphra.bsky.social and @sarah-nlp.bsky.social, which clarified things.
But then I found the paper "Mechanistic?" by
@nsaphra.bsky.social and @sarah-nlp.bsky.social, which clarified things.
November 20, 2024 at 8:00 AM
Even as an interpretable ML researcher, I wasn't sure what to make of Mechanistic Interpretability, which seemed to come out of nowhere not too long ago.
But then I found the paper "Mechanistic?" by
@nsaphra.bsky.social and @sarah-nlp.bsky.social, which clarified things.
But then I found the paper "Mechanistic?" by
@nsaphra.bsky.social and @sarah-nlp.bsky.social, which clarified things.