Gabriele Sarti
@gsarti.com
Interpretability ∩ HCI ∩ #NLProc. Creator of @inseq.org. Prev: PhD at @gronlp.bsky.social, @awscloud.bsky.social, Aindo
gsarti.com
gsarti.com
Pinned
Gabriele Sarti
@gsarti.com
· Jan 15
I've decided to start a book thread for 2025 to share cool books and stay focused on my reading goals. Here we go! 📚
Reposted by Gabriele Sarti
Here's my enormous round-up of everything we learned about LLMs in 2025 - the third in my annual series of reviews of the past twelve months
simonwillison.net/2025/Dec/31/...
This year it's divided into 26 sections! This is the table of contents:
simonwillison.net/2025/Dec/31/...
This year it's divided into 26 sections! This is the table of contents:
December 31, 2025 at 11:54 PM
Here's my enormous round-up of everything we learned about LLMs in 2025 - the third in my annual series of reviews of the past twelve months
simonwillison.net/2025/Dec/31/...
This year it's divided into 26 sections! This is the table of contents:
simonwillison.net/2025/Dec/31/...
This year it's divided into 26 sections! This is the table of contents:
Reposted by Gabriele Sarti
Happy Holidays from NDIF! Our new NNsight version improves performance and enhances vLLM integration, including support for tensor parallelism.
December 19, 2025 at 10:51 PM
Happy Holidays from NDIF! Our new NNsight version improves performance and enhances vLLM integration, including support for tensor parallelism.
Reposted by Gabriele Sarti
I have been teaching myself to vibe code.
Watch Claude Code grow my 780 lines to 13,600 - mandelbrot.page/coverage/ca...
Two fundamental rules for staying in control:
davidbau.com/archives/20...
Watch Claude Code grow my 780 lines to 13,600 - mandelbrot.page/coverage/ca...
Two fundamental rules for staying in control:
davidbau.com/archives/20...
December 18, 2025 at 8:01 PM
I have been teaching myself to vibe code.
Watch Claude Code grow my 780 lines to 13,600 - mandelbrot.page/coverage/ca...
Two fundamental rules for staying in control:
davidbau.com/archives/20...
Watch Claude Code grow my 780 lines to 13,600 - mandelbrot.page/coverage/ca...
Two fundamental rules for staying in control:
davidbau.com/archives/20...
Big news! 🗞️ I defended my PhD thesis "From Insights to Impact: Actionable Interpretability for Neural Machine Translation" @rug.nl @gronlp.bsky.social
I'm grateful to my advisors @arianna-bis.bsky.social @malvinanissim.bsky.social and to everyone who played a role in this journey! 🎉 #PhDone
I'm grateful to my advisors @arianna-bis.bsky.social @malvinanissim.bsky.social and to everyone who played a role in this journey! 🎉 #PhDone
December 16, 2025 at 12:21 PM
Big news! 🗞️ I defended my PhD thesis "From Insights to Impact: Actionable Interpretability for Neural Machine Translation" @rug.nl @gronlp.bsky.social
I'm grateful to my advisors @arianna-bis.bsky.social @malvinanissim.bsky.social and to everyone who played a role in this journey! 🎉 #PhDone
I'm grateful to my advisors @arianna-bis.bsky.social @malvinanissim.bsky.social and to everyone who played a role in this journey! 🎉 #PhDone
Reposted by Gabriele Sarti
The CALAMITA (Challenging the Abilities of LAnguage Models in ITAlian) paper is now available on arXiv:
arxiv.org/abs/2512.04759
We warmly thank all the individuals involved for their extraordinary work, dedication, and collaborative spirit that made this project possible!
arxiv.org/abs/2512.04759
We warmly thank all the individuals involved for their extraordinary work, dedication, and collaborative spirit that made this project possible!
December 9, 2025 at 6:19 PM
The CALAMITA (Challenging the Abilities of LAnguage Models in ITAlian) paper is now available on arXiv:
arxiv.org/abs/2512.04759
We warmly thank all the individuals involved for their extraordinary work, dedication, and collaborative spirit that made this project possible!
arxiv.org/abs/2512.04759
We warmly thank all the individuals involved for their extraordinary work, dedication, and collaborative spirit that made this project possible!
Kinda crazy the improvement from Nano banana (left) to NB Pro (right): "Create an infographic explaining how model components contribute to the prediction process of a decoder-only Transformer LLM. Use the residual stream view of the Transformer by Elhage et al. (2021) in your presentation."
November 21, 2025 at 8:14 AM
Kinda crazy the improvement from Nano banana (left) to NB Pro (right): "Create an infographic explaining how model components contribute to the prediction process of a decoder-only Transformer LLM. Use the residual stream view of the Transformer by Elhage et al. (2021) in your presentation."
impactrank.org is an interesting take on how to rethink uni rankings to upweight quality rather than quantity. They use LLMs to extract "high impact" dependencies from papers and identify foundational work, tracing them back to PIs/unis
by matching their DBLP entries. Have a look!
by matching their DBLP entries. Have a look!
Research Impact Rankings
impactrank.org
November 16, 2025 at 9:30 AM
impactrank.org is an interesting take on how to rethink uni rankings to upweight quality rather than quantity. They use LLMs to extract "high impact" dependencies from papers and identify foundational work, tracing them back to PIs/unis
by matching their DBLP entries. Have a look!
by matching their DBLP entries. Have a look!
Reposted by Gabriele Sarti
Humans and LLMs think fast and slow. Do SAEs recover slow concepts in LLMs? Not really.
Our Temporal Feature Analyzer discovers contextual features in LLMs, that detect event boundaries, parse complex grammar, and represent ICL patterns.
Our Temporal Feature Analyzer discovers contextual features in LLMs, that detect event boundaries, parse complex grammar, and represent ICL patterns.
November 13, 2025 at 10:32 PM
Humans and LLMs think fast and slow. Do SAEs recover slow concepts in LLMs? Not really.
Our Temporal Feature Analyzer discovers contextual features in LLMs, that detect event boundaries, parse complex grammar, and represent ICL patterns.
Our Temporal Feature Analyzer discovers contextual features in LLMs, that detect event boundaries, parse complex grammar, and represent ICL patterns.
New promising model for interpretability research just dropped!
Through this release, we aim both to support the emerging ecosystem for pretraining research (NanoGPT, NanoChat), explainability (you can literally look at Monad under a microscope) and the tooling orchestration around frontier models.
November 10, 2025 at 9:09 PM
New promising model for interpretability research just dropped!
Check out our awesome live-skeeted panel!
Our panel moderated by @danaarad.bsky.social
"Evaluating Interpretability Methods: Challenges and Future Directions" just started! 🎉 Come to learn more about the MIB benchmark and hear the takes of @michaelwhanna.bsky.social, Michal Golovanevsky, Nicolò Brunello and Mingyang Wang!
"Evaluating Interpretability Methods: Challenges and Future Directions" just started! 🎉 Come to learn more about the MIB benchmark and hear the takes of @michaelwhanna.bsky.social, Michal Golovanevsky, Nicolò Brunello and Mingyang Wang!
November 9, 2025 at 7:18 AM
Check out our awesome live-skeeted panel!
Follow @blackboxnlp.bsky.social for a live skeeting of the event!
BlackboxNLP is up and running! Here's the topics covered by this year's edition at a glance. Excited to see so many interesting topics, and the growing interest in reasoning!
November 9, 2025 at 2:20 AM
Follow @blackboxnlp.bsky.social for a live skeeting of the event!
Wrapping up my oral presentations today with our TACL paper "QE4PE: Quality Estimation for Human Post-editing" at the Interpretability morning session #EMNLP2025 (Room A104, 11:45 China time)!
Paper: arxiv.org/abs/2503.03044
Slides/video/poster: underline.io/lecture/1315...
Paper: arxiv.org/abs/2503.03044
Slides/video/poster: underline.io/lecture/1315...
November 7, 2025 at 2:50 AM
Wrapping up my oral presentations today with our TACL paper "QE4PE: Quality Estimation for Human Post-editing" at the Interpretability morning session #EMNLP2025 (Room A104, 11:45 China time)!
Paper: arxiv.org/abs/2503.03044
Slides/video/poster: underline.io/lecture/1315...
Paper: arxiv.org/abs/2503.03044
Slides/video/poster: underline.io/lecture/1315...
Presenting today our work "Unsupervised Word-level Quality Estimation Through the Lens of Annotator (Dis)agreement" at the Machine Translation morning session (Room A301, 11:45 China time). See you there! 🤗
Paper: aclanthology.org/2025.emnlp-m...
Slides/video/poster: underline.io/events/502/s...
Paper: aclanthology.org/2025.emnlp-m...
Slides/video/poster: underline.io/events/502/s...
Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement
Gabriele Sarti, Vilém Zouhar, Malvina Nissim, Arianna Bisazza. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.
aclanthology.org
November 6, 2025 at 1:19 AM
Presenting today our work "Unsupervised Word-level Quality Estimation Through the Lens of Annotator (Dis)agreement" at the Machine Translation morning session (Room A301, 11:45 China time). See you there! 🤗
Paper: aclanthology.org/2025.emnlp-m...
Slides/video/poster: underline.io/events/502/s...
Paper: aclanthology.org/2025.emnlp-m...
Slides/video/poster: underline.io/events/502/s...
Reposted by Gabriele Sarti
How can a language model find the veggies in a menu?
New pre-print where we investigate the internal mechanisms of LLMs when filtering on a list of options.
Spoiler: turns out LLMs use strategies surprisingly similar to functional programming (think "filter" from python)! 🧵
New pre-print where we investigate the internal mechanisms of LLMs when filtering on a list of options.
Spoiler: turns out LLMs use strategies surprisingly similar to functional programming (think "filter" from python)! 🧵
November 4, 2025 at 5:48 PM
How can a language model find the veggies in a menu?
New pre-print where we investigate the internal mechanisms of LLMs when filtering on a list of options.
Spoiler: turns out LLMs use strategies surprisingly similar to functional programming (think "filter" from python)! 🧵
New pre-print where we investigate the internal mechanisms of LLMs when filtering on a list of options.
Spoiler: turns out LLMs use strategies surprisingly similar to functional programming (think "filter" from python)! 🧵
Reposted by Gabriele Sarti
Language models can correctly answer questions about their previous intentions.
www.anthropic.com/research/int...
www.anthropic.com/research/int...
Emergent introspective awareness in large language models
Research from Anthropic on the ability of large language models to introspect
www.anthropic.com
October 29, 2025 at 6:21 PM
Language models can correctly answer questions about their previous intentions.
www.anthropic.com/research/int...
www.anthropic.com/research/int...
Reposted by Gabriele Sarti
Can AI simulate human behavior? 🧠
The promise is revolutionary for science & policy. But there’s a huge "IF": Do these simulations actually reflect reality?
To find out, we introduce SimBench: The first large-scale benchmark for group-level social simulation. (1/9)
The promise is revolutionary for science & policy. But there’s a huge "IF": Do these simulations actually reflect reality?
To find out, we introduce SimBench: The first large-scale benchmark for group-level social simulation. (1/9)
October 28, 2025 at 4:54 PM
Can AI simulate human behavior? 🧠
The promise is revolutionary for science & policy. But there’s a huge "IF": Do these simulations actually reflect reality?
To find out, we introduce SimBench: The first large-scale benchmark for group-level social simulation. (1/9)
The promise is revolutionary for science & policy. But there’s a huge "IF": Do these simulations actually reflect reality?
To find out, we introduce SimBench: The first large-scale benchmark for group-level social simulation. (1/9)
Our group @gronlp.bsky.social is coming in strong for #EMNLP2025! See you soon in Suzhou! 👋 🇨🇳
With only a week left for #EMNLP2025, we are happy to announce all the works we 🐮 will present 🥳 - come and say "hi" to our posters and presentations during the Main and the co-located events (*SEM and workshops) See you in Suzhou ✈️
October 28, 2025 at 7:41 AM
Our group @gronlp.bsky.social is coming in strong for #EMNLP2025! See you soon in Suzhou! 👋 🇨🇳
Reposted by Gabriele Sarti
You can easily save up to 65% of compute while improving performance on reasoning tasks 🤯 👀
Meet EAGer: We show that monitoring token-level uncertainty lets LLMs allocate compute dynamically - spending MORE on hard problems, LESS on easy ones.
🧵👇
Meet EAGer: We show that monitoring token-level uncertainty lets LLMs allocate compute dynamically - spending MORE on hard problems, LESS on easy ones.
🧵👇
October 16, 2025 at 12:07 PM
You can easily save up to 65% of compute while improving performance on reasoning tasks 🤯 👀
Meet EAGer: We show that monitoring token-level uncertainty lets LLMs allocate compute dynamically - spending MORE on hard problems, LESS on easy ones.
🧵👇
Meet EAGer: We show that monitoring token-level uncertainty lets LLMs allocate compute dynamically - spending MORE on hard problems, LESS on easy ones.
🧵👇
Reposted by Gabriele Sarti
𝐃𝐨 𝐲𝐨𝐮 𝐫𝐞𝐚𝐥𝐥𝐲 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐬𝐞𝐞 𝐰𝐡𝐚𝐭 𝐦𝐮𝐥𝐭𝐢𝐥𝐢𝐧𝐠𝐮𝐚𝐥 𝐞𝐟𝐟𝐨𝐫𝐭 𝐥𝐨𝐨𝐤𝐬 𝐥𝐢𝐤𝐞? 🇨🇳🇮🇩🇸🇪
Here’s the proof! 𝐁𝐚𝐛𝐲𝐁𝐚𝐛𝐞𝐥𝐋𝐌 is the first Multilingual Benchmark of Developmentally Plausible Training Data available for 45 languages to the NLP community 🎉
arxiv.org/abs/2510.10159
Here’s the proof! 𝐁𝐚𝐛𝐲𝐁𝐚𝐛𝐞𝐥𝐋𝐌 is the first Multilingual Benchmark of Developmentally Plausible Training Data available for 45 languages to the NLP community 🎉
arxiv.org/abs/2510.10159
October 14, 2025 at 5:01 PM
𝐃𝐨 𝐲𝐨𝐮 𝐫𝐞𝐚𝐥𝐥𝐲 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐬𝐞𝐞 𝐰𝐡𝐚𝐭 𝐦𝐮𝐥𝐭𝐢𝐥𝐢𝐧𝐠𝐮𝐚𝐥 𝐞𝐟𝐟𝐨𝐫𝐭 𝐥𝐨𝐨𝐤𝐬 𝐥𝐢𝐤𝐞? 🇨🇳🇮🇩🇸🇪
Here’s the proof! 𝐁𝐚𝐛𝐲𝐁𝐚𝐛𝐞𝐥𝐋𝐌 is the first Multilingual Benchmark of Developmentally Plausible Training Data available for 45 languages to the NLP community 🎉
arxiv.org/abs/2510.10159
Here’s the proof! 𝐁𝐚𝐛𝐲𝐁𝐚𝐛𝐞𝐥𝐋𝐌 is the first Multilingual Benchmark of Developmentally Plausible Training Data available for 45 languages to the NLP community 🎉
arxiv.org/abs/2510.10159
"Assuming linearly encoded concepts"
In honour of spooky month, share a 4 word horror story that only someone in your profession would understand.
rm -rf ~/
rm -rf ~/
"The chancellor approved it"
October 12, 2025 at 4:26 PM
"Assuming linearly encoded concepts"
Very cool demonstration of how the @ndif-team.bsky.social Workbench allows for quick iteration on different prompt setups!
How embarrassing for me and confusing to the LLM!
OK, here it is fixed. Nice thing about workbench is that it just takes a second to edit the prompt, and you can see how the LLM responds, now deciding very early it should be ':'
OK, here it is fixed. Nice thing about workbench is that it just takes a second to edit the prompt, and you can see how the LLM responds, now deciding very early it should be ':'
October 11, 2025 at 8:12 PM
Very cool demonstration of how the @ndif-team.bsky.social Workbench allows for quick iteration on different prompt setups!
Making model internals accessible to domain experts in low-code interfaces will unlock the next step in making interpretability useful across a variety of domains. Very excited about the NDIF Workbench! 💡
Ever wished you could explore what's happening inside a 405B parameter model without writing any code? Workbench, our AI interpretability interface, is now live for public beta at workbench.ndif.us!
October 10, 2025 at 5:53 PM
Making model internals accessible to domain experts in low-code interfaces will unlock the next step in making interpretability useful across a variety of domains. Very excited about the NDIF Workbench! 💡
I was amazed by how avant-garde this was, but 30min into Greg Egan's Permutation City and already stumbled on digital twins, longevity-crazed billionaires and widespread B2C rentable compute instances, all from 1994! 🤯 Really prescient!
TIL Ken Liu predicted an eerily familiar setting featuring OpenAI and sama-like characters + US-China race dynamics in his short story "The Perfect Match" from 2012.
October 4, 2025 at 9:19 AM
I was amazed by how avant-garde this was, but 30min into Greg Egan's Permutation City and already stumbled on digital twins, longevity-crazed billionaires and widespread B2C rentable compute instances, all from 1994! 🤯 Really prescient!
Reposted by Gabriele Sarti
Mechanistic interpretability often relies on *interventions* to study how DNNs work. Are these interventions enough to guarantee the features we find are not spurious? No!⚠️ In our new paper, we show many mech int methods implicitly rely on the linear representation hypothesis🧵
July 14, 2025 at 12:15 PM
Mechanistic interpretability often relies on *interventions* to study how DNNs work. Are these interventions enough to guarantee the features we find are not spurious? No!⚠️ In our new paper, we show many mech int methods implicitly rely on the linear representation hypothesis🧵
What could go wrong when asking Claude to make an Imagine demo within Claude Imagine and using it to play Tic Tac Toe? When notified about the error, the model promptly adds "Sorry about that. Continue playing..." to the interface 😂
October 2, 2025 at 4:15 PM
What could go wrong when asking Claude to make an Imagine demo within Claude Imagine and using it to play Tic Tac Toe? When notified about the error, the model promptly adds "Sorry about that. Continue playing..." to the interface 😂