
Geometry and Deep Learning @areasciencepark
Trieste
Joined March 2013
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At #COLM2026? Don't miss @irenetallini presenting our work LOCUS at Actionable Interpretability@COLM2026!
Stop by to discuss how we turn insights into attention head function into targeted LLM steering.
📍 Continental Ballroom
🕙 10:50–11:55 a.m.
Come find us at
NeurIPS Poster Session 6 #1114 4PM - 7PM
to hear how multimodal models develope localized image-text communication in their internal representations.
#NeurIPS2025
@alexserra1998 @francescortu @lorebasile @DiegoDoimo
Excited to present "The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models" at #NeurIPS2025 and #EurIPS2025!
📍NeurIPS: Poster Session 6 #1114 (Fri Dec 5 4pm-7pm)
📍EurIPS: Poster Session D3 #88 (Wed Dec 3 10:30am-12:30pm)
🧵👇
Pop by to find out how we can detect head specialization in generative multimodal models, and how we can use it to improve them!
@lorebasile @ValeMaiorca @DiegoDoimo @FrancescoLocat8
Interested in the semantic specialisation of attention heads in generative models (LLMs/VLMs)? Stop by our spotlight “Head Pursuit” poster at #NeurIPS2025 !
🗓️ Dec 3 • 11am–2pm PST
📍 Exhibit Hall C/D/E #1013
Alberto Cazzaniga retweeted
Excited to present "The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models" at #NeurIPS2025 and #EurIPS2025!
📍NeurIPS: Poster Session 6 #1114 (Fri Dec 5 4pm-7pm)
📍EurIPS: Poster Session D3 #88 (Wed Dec 3 10:30am-12:30pm)
🧵👇
🔥 Excited for the start of @NeurIPSConf and @EurIPSConf!
We will present several results on interpretability, multimodality and more (🙂) from our Laboratory of Data Engineering @AreaSciencePark
DM to chat in San Diego about our work and openings in our Lab
Find us here 👇
Alberto Cazzaniga retweeted
Just landed in San Diego to present "Head Pursuit: Probing Attention Specialization in Multimodal Transformers", our spotlight paper @NeurIPSConf!
Don't miss poster #1013 on Wednesday, Dec 3 at 11AM.
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Looking forward to welcoming (virtually :-)) @GiorgosNik02 and @tommaso_mncttn from @EPFL and @GladiaLab at our Laboratory of Data Engineering @AreaSciencePark
🤖Seminar Series
Next week, Giorgos Nikolaou and Tommaso Mencattini (@EPFL) will present "Language Models are Injective and Hence Invertible". @GiorgosNik02 @tommaso_mncttn
📅Nov 27, 11 CET (Online)
👉Register to attend: bit.ly/4ieKRYq
Excited to share that 2/2 papers from our Lab (LADE) were accepted to #NeurIPS2025 (one spotlight 🎉)
Great work from all the students and collaborators involved!
@AreaSciencePark @aleserra1998 @lorebasile @francescortu @lucrevaleriani @DiegoDoimo @ansuin @FrancescoLocat8
Special mention to @ValeMaiorca who I forgot in original post 😅
Alberto Cazzaniga retweeted
Our study is now published on JCIM🎉
We expanded and refined the preprint thanks to the insightful feedback from reviewers!
paper: pubs.acs.org/doi/10.1021/acs…
code: github.com/RitAreaSciencePar…
🔥 Two PhD positions open @UniTrieste funded by @AreaSciencePark! 🔥
Join the Laboratory of Data Engineering to advance research in AI and its scientific applications.
We’re looking for motivated students ready to dive into interdisciplinary research in deep learning and AI.
💡 Our interests include (but are not limited to):
- AI for biological systems
- Reasoning and planning
- Interpretability
📍 Location: Trieste, Italy
🚨 🚨 🚨 Deadline: June 6th, 2025
🔗 Apply through the University of Trieste → How to apply lnkd.in/dppFWuGS
Deadline is approaching: spread the word, and get in touch for more info!
[email protected]
LADE website: lnkd.in/dV5sxrxe
Really excited to share our latest interpretability work on multimodal models!
The communication between image and text is localised in a single token in multimodal-output vision-language models.
Paper: arxiv.org/html/2412.06646v1
Happy to discuss it at #NeurIPS2024
More below 👇
Presenting our work on "The representation landscape of few-shot learning and fine-tuning in large language models" @NeurIPSConf
Poster Session East 1 Wednesday 1 h. 11-14 #3303
Great work with @DiegoDoimo @aleserra1998 @ansuin @AreaSciencePark
More below
I just landed in Vancouver to present @NeurIPSConf the findings of our new work!
Few-shot learning and fine-tuning change the hidden layers of LLMs in a dramatically different way, even when they perform equally well on multiple-choice question-answering tasks.
🧵1/6
Nice start of #NeurIPS2024!
Our work with @francescortu and @DiegoDoimo on the Competition of Mechanisms to understand counterfactuality in LLMs featured in the "Causality for LLMs" workshop by @ZhijingJin
Check out our ACL2024 paper aclanthology.org/2024.acl-lo…
Congrats @francescortu for the AI prize @UniTrieste! Thesis on how LLMs process false information and how we can steer them towards real facts.
#proudsupervisors with @DiegoDoimo & @ZhijingJin
ACL24 Paper: aclanthology.org/2024.acl-lo…
@AreaSciencePark news: areasciencepark.it/en/a-fran…
If you missed out @francescortu and @ZhijingJin presentation at #ACL2024 today, you can still catch up on our work on the Competition of Mechanisms in LLMs at the YouTube or ArXiv links below :-)
Excited to be in Bangkok for my first #ACL2024! 🇹🇭
If you're interested in LLM interpretability, join @ZhijingJin and me to discuss our recent work on the Competition of Mechanisms in LLMs.
We'll be presenting at Poster Session N.2 this afternoon from 2:00 to 3:30 pm. 👋"
Alberto Cazzaniga retweeted
📢Are you a scientist whose work can be applied to reach new heights in the study of pathogens? 👩🔬👨💻
The International Conference on Pandemic Preparedness is your unmissable chance to connect in a multidisciplinary network 🤝pathogen-ri.eu/conference/#o…
1/4 #prpconference2024
How do Language Models process facts and counterfactuals?
In our latest ACL 2024 contribution (arxiv.org/abs/2402.11655) we study the information flow of these mechanisms in LLMs, identifying the components that promote and suppress factual responses.
#ACL2024NLP @aclmeeting
🎉🎉 I'm thrilled to announce that our paper, "Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals", has been accepted at the ACL 2024 main conference!
🚨 Check it out here: arxiv.org/abs/2402.11655
👇
#NLProc #ACL2024NLP
Great effort from @francescortu and @DiegoDoimo from our LADE group @AreaSciencePark within a fantastic collaboration with @ZhijingJin @mrinmayasachan and @bschoelkopf from @MPI_IS @ETH_en





















