AI agents like @openclaw 🦞 are everywhere, answering emails, managing calendars, doing our chores for us. 📣 REALM is back for year 2! Workshop for Research on Agent Language Models at #EMNLP2026, Budapest 🇭🇺 🌟 Stellar lineup ⬇️ 📅 Submit by July 17, 23:59 AoE #AgenticAI #AIagents #LLMAgents #NLProc

At EACL '26, TakeLab members are presenting two papers. Feel free to stop by if you'd like to chat about simple tricks to improve LLM token embeddings, principled evaluation of synthetic data, coffee, or life in general. Details below 👇🧵 @eaclmeeting.bsky.social #EACL2026 #NLProc 🇲🇦

For some reason my account got suspended after posting this. Weird moderation. Having restored my account, I'm reposting to increase visibility.

@camuljak.bsky.social · 6mo ago

We already know prompt repetition is a handy hack to improve a decoder-only LM’s performance as it allows the model to “see” bidirectionally, an ability otherwise suppressed by the causal mask. But what happens if we increase the number of repetitions? 🤔🧵 @eaclmeeting.bsky.social #EACL2026

We already know prompt repetition is a handy hack to improve a decoder-only LM’s performance as it allows the model to “see” bidirectionally, an ability otherwise suppressed by the causal mask. But what happens if we increase the number of repetitions? 🤔🧵 @eaclmeeting.bsky.social #EACL2026

Very honored to be one out of seven outstanding papers at this years' EMNLP :) Huge thanks to my amazing collaborators @fatemehc.bsky.social @anamarasovic.bsky.social @boknilev.bsky.social , this would not have been possible without them!

Back from #ICML2025 🛬, and off 🚄 to Norrköping 🇸🇪 for #ic2s2 CLAN (cs.au.dk/~clan/) members are presenting 2 papers: 1 spotlight and 1 oral. See 🧵for posters and summaries 👋 Reach out to chat about observational studies, causality, LLM agents, human-centered AI etc.

CLAN for AI Research on Language and Networks

CLAN for AI Research on Language and Networks, or **CLAN** for short, is a research group and a part of the larger [DIS Group](https://cs.au.dk/research/data-intensive-systems) in the [Department of C...

cs.au.dk

We did a cool group project exploring diachronic embeddings for Croatian and found that (among other things) embeddings trained on later periods are more positive when plugged into models trained on earlier time periods. Check out the thread 🧵 & come talk to us in Vienna about this & other works 🍻

David Dukić@ddaviddukic.bsky.social · last yr.

📣📣 New preprint alert!! Despite events in the world becoming bleaker, the news is… more positive? We conduct a diachronic study of word embeddings trained on 10M Croatian news articles spanning 25 years and find some surprising results! arxiv.org/abs/2506.13569