"Amplifying Trans and Nonbinary Voices: A Community-Centred Harm Taxonomy for LLMs" is online: aclanthology.org/2025.acl-lon... We explore LLM responses that may negatively impact the transgender and nonbinary (TGNB) community and introduce a proof-of-concept toolkit to help identify them #NLProc

@bsavoldi.bsky.social taking us back in time at #GITT2025 ⌚⏳ focusing on the first discussions of gender bias in language technology as a socio-technical issue. No, the problem hasn't been fixed yet. But what has happened?

I've created a survey on ethics resources. Anyone in UK who does research with LLMs, in academia or industry, building models or using them as tools, is eligible. Takes 10 mins and there's the chance to win £100 voucher. Survey: lnkd.in/eFRsqpT2 (V1 of the guide is here arxiv.org/abs/2410.19812)

My latest paper "A decade of gender bias in machine translation" with @bsavoldi.bsky.social @luisabentivogli.bsky.social and Eva Vanmassenhove is out. 😀↘️ #NLProc #NLP #MT

My latest paper "A decade of gender bias in machine translation" with @bsavoldi.bsky.social @luisabentivogli.bsky.social and Eva Vanmassenhove is out. 😀↘️ #NLProc #NLP #MT

This is a fantastic oral history of the last 10 years of NLP and AI. www.quantamagazine.org/when-chatgpt...

If you are a feminist academic, you should sign this letter. forms.gle/oDYgnobrMiSc...

👉 👈 Meta announced that they're changing their models to reduce "left-leaning [political] bias"--that means leaning them to the political "right". Lots to unpack about what that might mean. So I ran a quick "shot in the dark" study...and found a *political right* bias in Meta models. Some notes.🧵

This is a really good piece on why the UK supreme court ruling is so problematic.

📢 Come and join our group! We offer a fully funded 3-year PhD position: 📔 Automatic translation with large multimodal models: iecs.unitn.it/education/ad... 📍Full details for application: iecs.unitn.it/education/ad... 📅 Deadline May 12, 2025 #NLProc #FBK

I've put on my hob nailed boots and given the Supreme Court decision the kicking it deserves. goodlaw.social/vd3a

I heard another fake Hannah Arendt quote on the radio. Since in the current times we might hear more of her to make sense of what is going on, here is a nice piece on what she actually said on lies & people not believing anything anymore: hac.bard.edu/amor-mundi/o...

My heartfelt condolences to everyone who knew and loved Felix. He was such a bright thinker. Such a loss.

We scaled training data attribution (TDA) methods ~1000x to find influential pretraining examples for thousands of queries in an 8B-parameter LLM over the entire 160B-token C4 corpus! medium.com/people-ai-re...

Even as an interpretable ML researcher, I wasn't sure what to make of Mechanistic Interpretability, which seemed to come out of nowhere not too long ago. But then I found the paper "Mechanistic?" by @nsaphra.bsky.social and @sarah-nlp.bsky.social, which clarified things.

How do LLMs learn to reason from data? Are they ~retrieving the answers from parametric knowledge🦜? In our new preprint, we look at the pretraining data and find evidence against this: Procedural knowledge in pretraining drives LLM reasoning ⚙️🔢 🧵⬇️