here's what one example of the dataset looks like, there are 72,234 just like this one (I regret my multimodal days where there were pictures in my papers)

🤔 ppllm implements windowed PPL, which allows to compute the PPL of arbitrarily long texts.
It aims to be feature complete for many information-theoretic metrics, including Perplexity (PPL), Surprisal, and bits per character (BPC), and their word-level counterparts.

Last week, I presented my work on "Assessing the Political Biases of Multilingual LLMs" at the EALM workshop @ TALN 2025 ! Thanks again to the ANR Diké project for organizing the workshop

"meticulously" is so absent from this list (from aclanthology.org/2025.coling-... )

Amazed at what a COLING paper could look like in the 80's

Hope you enjoyed our poster at #AISummit! I'm standing next to Pierre-Antoine Lequeu, @salimhafid.bsky.social, and @manonberriche.bsky.social but there's more people involved! Zoom-in to read their names or learn more about the project here about.make.org/democratic-c...

accurate quote for NLP researchers visiting Louvre Abu Dhabi after COLING 2025

Makes me think about this quiz I made with former PhD students at LISN, can you spot the fake BERT-based models?

Really appreciate the feedback on this paper! It was mainly inspired by Valentin Hofmann et al. DagoBERT/"Superbizarre" papers

Hope you enjoyed the presentation!

best prompt ever

My brother did an awesome PhD 🤩

2: Unlike “Likely”, “Unlike” is Unlikely: always with @yvofr.bsky.social Because BPE makes a difference between tokens at the beginning and the end of words, LLMs are unable to generate prefixations

1: Towards the Machine Translation of Scientific Neologisms with @yvofr.bsky.social : ever struggled to translate a new term such as pretraining or Reinforcement Learning from Human Feedback? We aim to leverage the definitions of terms to translate them more accurately