University of Copenhagen Natural Language Understanding research group, led by @IAugenstein #NLProc#ML#dlearn
Funded by @ERC_Research @DFF_raad @VILLUMFONDEN
📢 Second Call for Papers for EMNLP 2026 Industry Track! With less than a month left, the submission link is now live. Share with the community how you are deploying NLP in the real world.
🗓️ Submission date: June 16, 2026 (AoE)
🔗 Details: https://t.co/ga3k6CJcm0
#EMNLP2026
Looking for PhD or postdoc opportunites in #NLProc#XAI? We @copenlu@AiCentreDK@DIKU_Institut@atanasovapepa are hiring for a start in Autumn 2026.
📆 Application deadline: 31 May 2026
ℹ️ https://t.co/eZMgsonOvr
👀 Reasons to apply: https://t.co/2PiJhD3Vxu
Attention #NLProc researchers, the EACL 2027 website is officially LIVE: https://t.co/0Q0WZVqWV6! 🎉
🇬🇷 Join us in Athens, Greece (Mar 9-13, 2027) at #EACL2027
📅 ARR submission deadline: Aug 6, 2026. Open to all areas of CL/NLP + related fields. Stay tuned for the detailed CfP!
CopeNLU had a blast attending @EurIPSConflast last week -- thanks so much to the organisers (Søren Hauberg, @SergeBelongie, @bschoelkopf, Aasa Feragen) for putting this together! Non-scientific highlights were clearly the banquet dinner & the specially brewed EurIPA.
📢 PhD & postdoc call for start in autumn 2026 📢
Join a new interdisciplinary project on Human-Centered Explainable LLMs led by @quillis & me @CopeNLU@AiCentreDK
⏳ 1 Feb 2026
ℹ️ https://t.co/tG1d5wCuHc
🗒️ https://t.co/OtUhwMdiw5 (PhD); https://t.co/0qwV9xGOpg (Postdoc)
What are the interaction dynamics between Parametric Knowledge and Context Knowledge in generating longer Natural Language Explanation sequences? Check out our recent preprint investigating this ⤵️
#NLProc#XAI@SKMAINULISLAM11@atanasovapepa
🛣️ Our method can be used to study epistemic diversity for any arbitrary topics, downstream tasks, and real-world use cases with open-ended LLM outputs. This allows researchers to answer research questions about which, whose, and how much knowledge LLMs are representing.
9/9
📏 To measure diversity we use a statistically grounded measure commonly used to measure species diversity in ecology, in order to fairly compare the relative diversity of models in different settings.
8/9