Tanise Ceron

Last week we held our 1st MilaNLP retreat by beautiful Lago Maggiore! ⛰️🌊
We shared research ideas, stories (academic & beyond), and amazing food. It was a great time to connect outside of the usual lab working days, and most importantly, strengthen our bonds as a team. #ResearchLife #NLProc

🔍 Stiamo studiando come l'AI viene usata in Italia e per farlo abbiamo costruito un sondaggio!

👉 bit.ly/sondaggio_ai...

(è anonimo, richiede ~10 minuti, e se partecipi o lo fai girare ci aiuti un sacco🙏)

Ci interessa anche raggiungere persone che non si occupano e non sono esperte di AI!

Reminder for the importance of evaluating political biases robustly. :)

We (w/ @diyiyang.bsky.social, @zhuhao.me, & Bodhisattwa Prasad Majumder) are excited to present our #NAACL25 tutorial on Social Intelligence in the Age of LLMs!
It will highlight long-standing and emerging challenges of AI interacting w humans, society & the world.
⏰ May 3, 2:00pm-5:30pm Room Pecos

Join us in an hour at 17:00 (CEST) for @taniseceron.bsky.social's talk on "Evaluating Political Bias: Insights into Robustness and Multilinguality“. Access to Zoom at join.slack.com/t/tadapolisc... or send me a ✉️

Sure, it's here: github.com/tceron/eval_...
The code mapping is in the readme file. :)

🥁 It's the second half of our 🌱 speaker series (tada.cool) this term, and we couldn't be more excited! Next week (Wednesday, April 30 at 5pm CET), we have the pleasure of welcoming @taniseceron.bsky.social to share insights on "Facilitating Information Access Through Language Models". More details ⬇️

Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs Abstract. Due to the widespread use of large language models (LLMs), we need to understand whether they embed a specific “worldview” and what these views reflect. Recent studies report that, prompted ...

liberal society... For example, there's no clear stance in the issues of migration.
More on: direct.mit.edu/tacl/article...

I would expect Llama3.1 released last year to have similar political views to what we found in Llama-2.

change the political worldviews of models. In our study, we find that the previous version (Llama-2) consistently reflects more left-leaning views. However, it does depend on the policy issue as we found clear stances of the models only towards social state welfare, environment protection and [2/3]

I agree 100% that we need to understand what they're measuring, and specifically, how they're aligning the models to be hold certain types of political worldviews. However, I find your results rather puzzling because Llama3.1 was released much before they started announcing their strategy to [1/3]

All the very best for this new chapter @florplaza.bsky.social! 😃
We already miss you here! ❤️

Wanna keep up with our @milanlp.bsky.social lab? Here is a starter pack of current and former members:
bsky.app/starter-pack...

Happy to be presenting at #TaDa and looking forward to watching the great talks coming up. :)

Hmm, I agree that this could be a good solution. Though I wonder if this is feasible based on the pace that advancements take place in this area.

That could def encourage people to polish more, but I think we need more well-defined categories. E.g. paper with best related work section given that this section is often underestimated nowadays and it's an important step to build on people's previous work. Ofc, this is just one among many! :)

It decreases the burden of reviewers whose role may not be to give feedback, but to check the quality and validity of a given research piece.
Curious to know what other researchers think about it. :)

🤯
Perhaps it's time to start challenging the culture in our area of "submitting to get some feedback". Isn't it more productive to submit only when we feel the paper is really ready to be submitted?