MaiNLP lab, LMU Munich

MaiNLP lab, LMU Munich

@mainlp.bsky.social

MaiNLP research lab at CIS, LMU Munich directed by Barbara Plank @barbaraplank.bsky.social Natural Language Processing | Artificial Intelligence | Computational Linguistics | Human-centric NLP

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MaiNLP lab, LMU Munich reposted

We have bigger models. Bigger conferences. Have our questions become bigger, too? That was the question I posed in my Presidential Address at #ACL2026 in San Diego. (1/6)

MaiNLP lab, LMU Munich reposted

Super excited to present our work at #ACL2026 ✨ 👉 LLM-based social simulations have lots of analytic flexibility—response generation methods are often overlooked 📍Tue July 7, 9am, Poster Session F

Georg Ahnert@ahnert.eurosky.social

Thrilled to share that our paper with @carohaensch.bsky.social, @barbaraplank.bsky.social & @mstrohm.bsky.social has been accepted to #ACL2026 Main! How to generate closed-ended survey responses 📊 with LLMs trained to produce open-ended text? 📝 We show results from 32 mio. simulated responses… 🧵

MaiNLP lab, LMU Munich reposted

I'm at #ACL2026 where I'll present work on comparing text- vs. speech-based classification performance on standard-language vs. dialectal data, finding different trends for different varieties! (Talk @ Harbor A, July 5, 14:20-14:30) [1/3]

MaiNLP lab, LMU Munich reposted

I’m at #ACL2026NLP to present ltzGLUE, a GLUE-style benchmark for Luxembourgish. We also release ltz-E1, a ModernBERT-based encoder trained only on Luxembourgish. Come find me on 7/7!

MaiNLP lab, LMU Munich reposted

Excited for 5 papers at #ACL2026NLP with my group and with collaborators. 📍 You can find the work here: 🗓️ Sun. July 5 AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African Languages Oral Session B: Multilinguality and Language Diversity 2

MaiNLP lab, LMU Munich reposted

Replying to @florian-eichin.com

Want to learn more? Poster presentation at Tue, Jul 7, 2026, 2:00 PM – 3:45 PM @ HALL A #3303 Also in the workshop on mechanistic interpretability, Fri, Jul 10, 2026 • 8:00 AM – 5:00 PM @ HALL C Paper: arxiv.org/abs/2505.20076

arxiv.orgExPLAIND: Unifying Model, Data, and Training Attribution to Study Model BehaviorPost-hoc interpretability methods typically attribute a model's behavior to its components, data, or training trajectory in isolation, and are often tied to a particular level of granularity along the...

MaiNLP lab, LMU Munich reposted

𝗚𝗿𝗮𝗱𝗶𝗲𝗻𝘁 𝗱𝗲𝘀𝗰𝗲𝗻𝘁 𝗶𝘀 𝗮𝗹𝗹 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝗳𝗼𝗿 𝗶𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆? In our ICML paper, we show that it might just be. ExPLAIND is a method that unifies data attribution, model component attribution, and training dynamics by computing an exact decomposition of model behavior based on gradient products.

MaiNLP lab, LMU Munich reposted

MaiNLP lab, LMU Munich reposted

In our new paper, "A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages", we go beyond final-answer accuracy to analyze multilingual reasoning along three dimensions: performance, consistency, and faithfulness.

MaiNLP lab, LMU Munich reposted

✨New paper✨ 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 — producing e.g. Cyrillic Japanese transcriptions.

MaiNLP lab, LMU Munich reposted

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.

MaiNLP lab, LMU Munich reposted

UPDATE: Our poster presentation got moved to Tuesday, 16:00–17:30 (session 10)! #ACL2025NLP

Verena Blaschke@verenablaschke.bsky.social

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)!

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MaiNLP lab, LMU Munich reposted

MaiNLP lab, LMU Munich reposted

MaiNLP lab, LMU Munich reposted

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)!

MaiNLP lab, LMU Munich reposted

🤔 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. 📄 arxiv.org/abs/2502.12378 🧠💬 #LLMs #Pragmatics

MaiNLP lab, LMU Munich reposted

🎉 Our paper “Algorithmic Fidelity of LLMs in Generating Synthetic German Public Opinions” is accepted at #ACL2025 main conference as an oral presentation! 🇩🇪🤖 We study how well LLMs simulate real survey responses using open-ended German data, showing the left-leaning bias.

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 🌱🤖

Feliçia Körner@fkoerner.bsky.social

Had the pleasure of leading AI workshops with @munichcenterml.bsky.social‬ for 2nd- and 3rd-graders in late June! Designing the material was a fun challenge, and I've never had a more curious audience. Here we explored MT (had to stay true to my roots); check out what they wanted to translate!

MaiNLP lab, LMU Munich reposted

Looking forward to my visit to Hamburg University and their Data Science group!

Trustworthy AI Lab@tai-lab.bsky.social

Our group is launching a monthly seminar series! Next week, we will have @mhedderich.bsky.social from LMU Munich, who will give a talk at our seminar. Date: July 16 Time: 10.00 - 11.30 am CET You can either attend the seminar via Zoom or in-person. Register here if you are interested.

MaiNLP lab, LMU Munich reposted

What changes if you take the LLM prompt “Tell me a short story about Dr. Li” and replace “Dr. Li” with “Dr. Smith”? Would you have guessed that this introduces a massive gender bias, from ca. half/half to 99% male doctors? 

In our #ACL2025 paper we present the Spotlight framework which...

Caught some great moments at #MCML Munich AI Day 2025 last week📍 From sharp keynotes to poster debates. Our team had the chance to show some recent work, join the conversations, and bring back plenty of food for thought🧠🗣️📊

Munich Center for Machine Learning@munichcenterml.bsky.social

Last week, #MCML Munich AI Day 2025 kicked off with keynotes by Julia Schnabel and Tina Eliassi-Rad, brilliantly moderated by Eva Schulz.