AmsterdamNLP
@AmsterdamNLP
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Tweeting about NLP research, events and opportunities in Amsterdam -- run by @wzuidema and others.
Amsterdam, The Netherlands
Joined July 2018
We've kept a low profile here of late; we're moving -as many in our community- most of our activities to Bluesky. Join us there at the same handle! Bluesky has reached the critical mass to have interesting science discussions. Start w/ a "starter pack" of accounts to follow!
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🎲 Great to see the 2nd edition of UncertaiNLP happening at #EMNLP2025 (Suzhou)! A venue for work on uncertainty-aware NLP, from Bayesian inference to decision-making under uncertainty. 🗓 Direct submissions due Aug 15, ARR commitments by Aug 29. 👉
uncertainlp.github.io
The Second Workshop on Uncertainty-Aware NLP will be co-located with #EMNLP2025 this November in Suzhou, China! We’re excited for another great gathering of uncertainty enthusiasts in NLP. For more details, please visit our website:
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Do follow AmsterdamNLP, and find the many other NLP feeds using 'starter packs', when you move to B or M.
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🥳🤖 The 5th and *FINAL* PoSSUM AI poll is now live ! Explore the underlying data (1054 𝕏 users), crosstabs, national and state estimates here https://t.co/c4XmYGwsbX Digital fieldwork conducted from 17/10 to 26/10. We find Harris ahed nationally by ~2% points, BUT ... (1/n)
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The 3rd PoSSUM Poll is now live -- https://t.co/c4XmYGx01v. This poll shows a Popular Vote tie, which implies a likely Trump win in the electoral college ...(1/n)
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📊🤖 Together with @RayDuch, I’m excited to announce PoSSUM - the first AI pollster of the 2024 election cycle. Read the Press Release, Technical Report, download the anonymised microdata and explore the code: https://t.co/c4XmYGwsbX . Summary and topline findings follow (1/n)
github.com
a protocol to poll social-media users unobtrusively and inexpensively using multimodal Large Language Models (LLMs) - robertocerinaprojects/PoSSUM
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Is it possible to *disentangle* the internal representations of deep learning models? To separate the hidden states of recent spoken language models into one vector specialized for transcription to text, and another that preserves task-relevant acoustic features? #NLProc 🧵(1/9)
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This is a friendly reminder that there are 7 days left for submitting your extended abstract to this workshop! (Since the workshop is non-archival, previously published work is welcome too. So consider submitting previous/future work to join the discussion in Amsterdam!)
Working on #bias & #discrimination in #NLP? Passionate about integrating insights from other disciplines? Want to discuss current limitations of #LLM bias mitigation? 👋Join the workshop New Perspectives on Bias and Discrimination in Language Technology; 4&5 Nov in #Amsterdam!
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Happening now in the (suspiciously empty) https://t.co/7KgdY5XLRR Poster 3 session for ACL: an investigation of Structural Priming effects in LMs with exciting connections to implicit learning accounts of human language processing! https://t.co/P5gHjlRMUW
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Working on #bias & #discrimination in #NLP? Passionate about integrating insights from other disciplines? Want to discuss current limitations of #LLM bias mitigation? 👋Join the workshop New Perspectives on Bias and Discrimination in Language Technology; 4&5 Nov in #Amsterdam!
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I'll be attending #CogSci2024 in Rotterdam! In the poster session on Friday, Hanna-Sophia Widhoelzl will present our paper "Decoding Emotions in Abstract Art: Cognitive Plausibility of CLIP in Recognizing Color-Emotion Associations". 🎨🖼️👩🏻🎨(P2-E-229) https://t.co/dkUkphTExv
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Looking forward to #CogSci2024! We’ll present 2 posters analysing cross-speaker alignment in face-to-face dialogue, one on lexical alignment led by @DrEsamGhaleb
https://t.co/Y3ox9VSr2V and one on the relation between lexical and gestural alignment led by @shoakamine1 👇
Publication alert! In our CogSci Proceedings paper, we showed that (1) people repeatedly reuse each other's words and gestures and (2) lexical and gestural alignment are related. If you want to know more, come to our poster on Thursday at #CogSci2024!! https://t.co/UkjJMENoGE
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Very excited to attend #CogSci2024 this week! In session T.24 on Friday morning (10.30-12), Bram will present our work on representational alignment between LMs, brains, and syntactic structure 🤖🧠💬 w/ @ChoenniRochelle, @m_heilb & @wzuidema 📑 https://t.co/kuwKv0niUN ⬇️
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✨LMs are powerful language approximators, but can their behaviour provide any insights into linguistic theory? We approach this through the phenomenon of adjective order (big red car > red big car) and show that linguistic competence is almost fully driven by data statistics. 🧵
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✨ Do current neural speech models show human-like linguistic biases in speech perception? We took inspiration from classic phonetic categorization experiments to explore whether & where sensitivity to phonotactic context emerges in Wav2Vec2 models 🔍 📑 https://t.co/66XPdRPKcV
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✨We are affected by the structure of prior context when we process language. The structural priming paradigm has shown that grammatical information plays a vital role in human language processing. In our ACL-f paper we show that LM predictions are driven by similar factors! 🧵
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Do generative LLMs exhibit different stereotypes when prompted in different languages? We (@AriannaBisazza, @raquel_dmg and I) answered this question with MBBQ: our carefully curated Dutch, Spanish, and Turkish translation of the English BBQ benchmark. https://t.co/QwQw3HeZTc 🧵
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Deadline for applications the @AthensNLP summer school has been extended to July 1st! Apply here: https://t.co/wDaUfLsayQ Great speakers, hands-on labs, poster session for participants to present their own work and social event! Get keen!
📢Speakers announced for #AthNLP2024 International Summer School! ❗️Don't miss the opportunity to meet in person with the roster of ✨tutors in the field of #NaturalLanguageProcessing at the upcoming Athens Natural Language Processing Summer School! https://t.co/QxNlkU2PNb
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Our paper on the DecoderLens is published in NAACL Findings! This simple interpretability tool for encoder-decoder models can provide surprisingly detailed insights into how information evolves across encoder layers. https://t.co/vNxuRo0fVj
✨How do representations evolve in Encoder-Decoder models? We introduce DecoderLens, an adaptation of the LogitLens that applies the full decoder to each encoder layer, allowing us to generate rich explanations for intermediate representations! https://t.co/hB3GhfhxLJ 👇Thread
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🔜 PhD position in NLP & Cognitive Linguistics at the University of Amsterdam! Topics: modelling word order variation and cognitive constraints, understanding the nature of human language using state-of-the-art language models as tools. Have a look:
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