Proud to introduce TurBLiMP, the 1st benchmark of minimal pairs for free-order, morphologically rich Turkish language! Pre-print: arxiv.org/abs/2506.13487 Fruit of an almost year-long project by amazing MS student @ezgibasar.bsky.social in collab w/ @frap98.bsky.social and @jumelet.bsky.social

One step further in our quest to bring interpretability techniques to the service of MT end users: Are uncertainty & model-internals based metrics a viable alternative to supervised word-level quality estimation? New paper w/ @gsarti.com @zouharvi.bsky.social @malvinanissim.bsky.social

Large Reasoning Models are raising the bar for answer accuracy & transparency, but how does that work in multilingual settings? Can LRMs reason in your language, and what does that entail? New preprint led by @jiruiqi.bsky.social and @shan23chen.bsky.social!

Following the success story of BabyBERTa, I & many other NLPers have turned to language acquisition for inspiration. In this new paper we show that using Child-Directed Language as training data is unfortunately *not* beneficial for syntax learning, at least not in the traditional LM training regime

Thinking LLM treats you just like an average user? Think again! @veraneplenbroek.bsky.social‘s analysis shows LLMs behave differently according to your gender, race & more. Implicit personalization is always at work & is strongly based on your conversation topics. Great collab w/ Raquel Fernández ⤵️

Happy to be part of this collaboration on personalizing translation style in the literary domain. Besides classical multi-shot prompting, various steering techniques show promising results & bring new insights! See thread ⤵️ W/ @danielsc4.it @gsarti.com ElisabettaFersini, @malvinanissim.bsky.social

Excited to share that "Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation" arxiv.org/abs/2412.14050 got accepted to ACL Findings! 🎉 #ACL2025 Big thanks to my supervisors Raquel Fernández and @arianna-bis.bsky.social for their guidance and support!

RAG is a powerful way to improve LLMs' answering abilities across many languages. But how do LLMs deal with multilingual contexts? Do they answer consistently when the retrieved info is provided to them in different languages? Joint work w/ @jiruiqi.bsky.social & Raquel_Fernández See thread! ⤵️

Modern LLMs "speak" hundreds of languages... but do they really? Multilinguality claims are often based on downstream tasks like QA & MT, while *formal* linguistic competence remains hard to gauge in lots of languages Meet MultiBLiMP! (joint work w/ @jumelet.bsky.social & @weissweiler.bsky.social)

Thanks to @haspelmath.bsky.social I just discovered this great collection of hypotheses extracted from evolutionary linguistics and typology papers, represented as a graph where linguistic properties are linked to others via different relations. correlation-machine.com/CHIELD/varia...

The PhD call is out! Apply by 24 April here: www.rug.nl/about-ug/wor...

🚨 The CoNLL deadline is just 2 days away! 🚨 Submit your work by March 14th, 11:59 PM (AoE, UTC-12) Don't miss out! ⏳ 🔗 Submission links: conll.org #CoNLL2025 #NLP #CoNLL

📣 Soon-to-open PhD position @gronlp.bsky.social: Come work with Annemarie van Dooren, @yevgenm.bsky.social and myself on a new project bridging Computational Linguistics methods and Language Acquisition questions, with a focus on the learning of modal verbs.

Excited to be traveling to Estonia for the 1st time to give a keynote @nodalida.bsky.social. I'll talk about using NNs to study language evolution & acquisition. A teaser: It won't be about LLMs 🙃 Also I've just moved from X, so this was my very first post... Pls help out by connecting with me!