β¨New paperβ¨
We find script (e.g. Cyrillic, Latin) to be a linear direction in the activation space of Whisper, enabling transliteration at test-time by adding such script directions to the activations β producing e.g. Cyrillic Japanese transcriptions.
07.01.2026 03:04 β π 9 π 4 π¬ 1 π 0
VarDial @ EACL 2026, with important dates (see next post for text version).
Photo CC-0.
VarDial 2026 will be colocated with @eaclmeeting.bsky.social! We're looking forward to your papers on NLP for similar languages, varieties and dialects :)
Deadline: Dec 19 (Jan 2 for pre-reviewed ARR papers)
sites.google.com/view/vardial...
21.10.2025 10:36 β π 14 π 10 π¬ 1 π 0
Group photo at NeurIPS 2025 San Diego
07.12.2025 18:40 β π 9 π 1 π¬ 0 π 0
Congrats to Pingjun, @beiduo.bsky.social , Siyao, Marie, and @barbaraplank.bsky.social for receiving the SAC Highlights reward!
13.11.2025 18:02 β π 5 π 1 π¬ 0 π 0
Congrats to our team member Diego Frassinelli on the SAC Highlights award!
13.11.2025 17:59 β π 1 π 0 π¬ 0 π 0
Awesome! We're also creating one currently and have included yours as a starter :)
11.08.2025 12:19 β π 2 π 0 π¬ 1 π 0
Piper title ("A multi-dialectal dataset for German dialect ASR and dialect-to-standard speech translation") and a map of the German state Bavaria showing where the Franconian, Bavarian, and Alemannic dialect groups are spoken
At #Interspeech2025 I'm going to present Betthupferl, a dataset for German dialect ASR & dialect-to-standard speech translation! We analyze differences between dialectal & Standard German transcriptions, benchmark ASR models, and examine shortcomings of current ASR models & evaluation metrics.
07.08.2025 08:46 β π 16 π 4 π¬ 1 π 1
UPDATE: Our poster presentation got moved to Tuesday, 16:00β17:30 (session 10)! #ACL2025NLP
27.07.2025 14:39 β π 3 π 1 π¬ 0 π 0
Unsure which presentations to attend at #ACL2025? ποΈπ£οΈ
27.07.2025 09:56 β π 4 π 2 π¬ 0 π 0
π₯βͺ @boleima.bsky.social Yuting Li, Wei Zhou, Ziwei Gong, @janetlauyeung.bsky.social Katja Jasinskaja @annefriedrich.bsky.social Julia Hirschberg, Frauke Kreuter @barbaraplank.bsky.social
23.07.2025 12:32 β π 0 π 0 π¬ 0 π 0
π₯βͺ @boleima.bsky.social Berk Yoztyurk @carohaensch.bsky.social @xinpeng.bsky.social Markus Herklotz, Frauke Kreuter @barbaraplank.bsky.social @assenmacher.bsky.social
23.07.2025 12:31 β π 1 π 0 π¬ 0 π 0
π Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter
π 263 languages, 10 similarity measures, 3 NLP tasks
π₯ @verenablaschke.bsky.socialΒ Masha Fedzechkina @maartjeterhoeve.bsky.social
π arxiv.org/abs/2501.14491
π Findings β long
23.07.2025 12:29 β π 0 π 0 π¬ 0 π 0
πDo LLMs Give Psychometrically Plausible Responses in Educational Assessments?
πAnalyzing how human-like LLMs are when taking reading, history, and economics tests
π₯ @saeub.bsky.social , Diego Frassinelli, @barbaraplank.bsky.social
π arxiv.org/abs/2506.09796
πBEA workshop - Long
23.07.2025 12:29 β π 2 π 1 π¬ 1 π 0
π GerMedIQ: A Resource for Simulated and Synthesized Anamnesis Interview Responses in German
π We release a novel German anamnesis question-response dataset with human-simulated and LLM-augmented responses.
π₯ @JHofenbitzer et al.
π github.com/Jhofenbitzer...
πSRW - Long
23.07.2025 12:29 β π 0 π 0 π¬ 1 π 0
πProbing LLMs for Multilingual Discourse Generalization Through a Unified Label Set
πDo LLMs encode and generalize discourse knowledge across languages?
π₯ @florian-eichin.com @janetlauyeung.bsky.social @mhedderich.bsky.social @barbaraplank.bsky.social
π arxiv.org/abs/2503.10515
πMain - Long
23.07.2025 12:29 β π 3 π 1 π¬ 1 π 1
πLLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks
πWe present a large-scale study of whether LLM judgments can be reliably used as proxies for human judgments
π₯Anna Bavaresco et al.
π arxiv.org/abs/2406.18403
πMain - Short
23.07.2025 12:29 β π 0 π 0 π¬ 1 π 0
π What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
π₯ @mhedderich.bsky.social Anyi Wang @raoyuan.bsky.social @florian-eichin.com Jonas Fischer @barbaraplank.bsky.social β¨
π arxiv.org/abs/2504.158...β¨
πMain - Long
23.07.2025 12:29 β π 2 π 1 π¬ 1 π 0
πA Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI
π₯ @beiduo.bsky.social Siyao Peng @annakorhonen.bsky.social @barbaraplank.bsky.social
π arxiv.org/abs/2412.13942
πACL25 Findings-Long
23.07.2025 12:29 β π 0 π 0 π¬ 1 π 0
πCircuit Compositions: Exploring Modular Structures in Transformer-Based Language Models
πWe study the relationship between circuits for highly compositional and functionally related tasks
π₯@pmondorf.bsky.social Sondre Wold @barbaraplank.bsky.social
π arxiv.org/abs/2410.01434
πMain-Long
23.07.2025 12:29 β π 0 π 0 π¬ 1 π 0
πPragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges
πWe review existing datasets for evaluating LLMsβ pragmatic capabilities, outlining key challenges and promising future directions
π arxiv.org/abs/2502.12378
πMain - Long
23.07.2025 12:29 β π 0 π 0 π¬ 2 π 0
πAlgorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study
πThis study evaluates LLMs in generating German public opinions using open-ended survey data
π arxiv.org/abs/2412.13169
πMain - Long
23.07.2025 12:29 β π 0 π 0 π¬ 2 π 0
Headed to ACL? MaiNLP & our most recent work will be there tooπ₯π
Come see what weβve been working on!
23.07.2025 12:29 β π 14 π 5 π¬ 1 π 2
Correlations between transfer results per experiment (parsing, POS tagging, topic classification with different input representations) and similarity measures. The results vary a lot across experiments and measures β some are described in the next posts.
At #ACL2025NLP I'll present our analysis of the effect of linguistic similarity on cross-lingual transfer! We looked at how 10 similarity measures correlate w/ transfer results btwn 263 languages across 3 NLP tasks. Different similarity measures matter for diff. experiments (no one-size-fits-all)!
18.07.2025 10:43 β π 21 π 1 π¬ 1 π 1
π€ Can LLMs read between the lines?
Our another #ACL2025 paper surveys resources on how LLMs handle pragmatics like implicatures, deixis, and more. We map out a new landscape for both LLMs and linguistics in pragmatic research.
π arxiv.org/abs/2502.12378
π§ π¬ #LLMs #Pragmatics
16.07.2025 09:42 β π 16 π 4 π¬ 1 π 1
π¨ Can LLMs generate explanations that are as useful as human ones for modeling label distributions in NLI?πΉ"A Rose by Any Other Name" shows that they can
π¬ We explore scalable, explanation-based annotation via LLMs.
πCome find us in Vienna π¦πΉ! (July 28, 18:00-19:30, Hall 4/5) #ACL2025NLP #acl2025
15.07.2025 14:46 β π 5 π 1 π¬ 3 π 0
π Our paper βAlgorithmic Fidelity of LLMs in Generating Synthetic German Public Opinionsβ is accepted at #ACL2025 main conference as an oral presentation! π©πͺπ€
We study how well LLMs simulate real survey responses using open-ended German data, showing the left-leaning bias.
14.07.2025 14:32 β π 4 π 1 π¬ 1 π 1
The future of AI literacy starts early! Our very own @fkoerner.bsky.social recently led a series of hands-on workshops teaching some of our youngest students yet π±π€
11.07.2025 13:57 β π 3 π 0 π¬ 0 π 0
Looking forward to my visit to Hamburg University and their Data Science group!
11.07.2025 11:06 β π 3 π 1 π¬ 0 π 0
The Official Bluesky Account of the Department of Language Science and Technology @uni-saarland.de
Imprint: https://www.uni-saarland.de/en/department/lst/about-us/contact.html
Homepage: https://www.lst.uni-saarland.de/
The ISLab research group at #unimi. Posts in English and Italian about research from Computational Linguistics to Computational Humanities. Account [β¦]
[bridged from https://fediscience.org/@IslabUnimi on the fediverse by https://fed.brid.gy/ ]
A multidisciplinary team at the University of Edinburgh and partner organisations who apply natural language processing to clinical text and conduct clinical epidemiological studies. #ClinicalNLP
https://usher.ed.ac.uk/clinical-natural-language-processing
The NLP group at Technion's CS department. @boknilev.bsky.social
The Natural Language Processing Group at the National University of Science and Technology Politehnica Bucharest
nlp.upb.ro
#NLProc
Welcome to the Natural Language Processing Group at the Computational Linguistics Department at @uniheidelberg.bsky.social
led by @anettemfrank.bsky.social #NLProc #ML
Research group at University of JaΓ©n | Natural Language Processing (NLP) | Human Language Technology (HLT) | Artificial Intelligence (AI).
https://sinai.ujaen.es/
linkedin.com/in/nlp-sinai
https://x.com/NLP_SINAI
#NLP Research Unit at @ Fondazione Bruno Kessler
Site: https://nlplab.fbk.eu
#NLProc
NLP lab at NAIST in Nara, Japan π¦ nlp.naist.jp/en/
#MachineTranslation Research Unit @ Fondazione Bruno Kessler
#nlproc #deeplearning #ai
mt.fbk.eu
Natural Language Processing group at Cardiff University.
#NLProc #NLP
We are Language Technology Group (LTG) at the University of Oslo, Norway. We do research on a number of topics related to Natural Language Processing (NLP), a [β¦]
[bridged from https://sigmoid.social/@ltgoslo on the fediverse by https://fed.brid.gy/ ]
The Language Technology Group (LTG) at the University of Oslo, Norway do research on a range of topics in Natural Language Processing (NLP), including language modeling for Norwegian and other languages.
Data Science research group on AI ethics and multicultural NLP, led by @a-lauscher.bsky.social.
https://mcgill-nlp.github.io/people/
We are the #nlproc group at Uppsala University! We focus our research on computational modeling of natural language and practical applications involving natural language processing (NLP).
https://www.uu.se/en/department/linguistics-and-p
Institute for Natural Language Processing #NLProc @unistuttgart.bsky.social
.
Website: https://www.ims.uni-stuttgart.de/en/
Data Protection: http://tinyurl.com/yc75b8zt
Imprint: http://ow.ly/g3PJ50ubqOs
Research centre for the study of corpus linguistics and corpus-based natural language processing at Lancaster University
T: +44 1524 510357
E: ucrel@lancaster.ac.uk
W: https://ucrel.lancs.ac.uk/
Y: https://www.youtube.com/@ucrelcrs8222
Computational LinguistsβNatural LanguageβMachine Learning