Anna Wegmann

83 posts

Anna Wegmann

Anna Wegmann

@anna_wegmann

PhD candidate in NLP @UniUtrecht | Measuring language variation with ML/NLP | now mainly on 🦋 via https://t.co/gpk3bBPSrd

Katılım Aralık 2019
240 Takip Edilen221 Takipçiler
Anna Wegmann
Anna Wegmann@anna_wegmann·
Semantics Track, Riverfront hall
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Anna Wegmann
Anna Wegmann@anna_wegmann·
Come talk to me and @dongng on Wednesday, Poster Session E from 4.00-5.30PM about paraphrases in dialog. See you at #EMNLP2024!
Anna Wegmann@anna_wegmann

Interested in whether people👂 each other in a conversation? 🚨New paper accepted at #EMNLP2024 with @tyskevdb and @dongng about detecting paraphrases between speakers 🤖 Detect? huggingface.co/AnnaWegmann/Hi… 📊 Analyze? huggingface.co/datasets/AnnaW… 📄 Read? arxiv.org/pdf/2404.06670

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Dr. Karen Ullrich
Dr. Karen Ullrich@karen_ullrich·
#Tokenization is undeniably a key player in the success story of #LLMs but we poorly understand why. I want to highlight progress we made in understanding the role of tokenization, developing the core incidents and mitigating its problems. 🧵👇
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Dustin Wright
Dustin Wright@dustin_wright37·
🔎What values and opinions do we see when we use 6 LLMs to generate 156,000 responses to 62 political propositions? Our paper "Revealing Fine-Grained Values and Opinions in Large Language Models" answers this. 📰 arxiv.org/abs/2406.19238… #NLProc #LLMs
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Hua Shen✨
Hua Shen✨@huashen218·
📢Is current “human-AI alignment” research clarified and comprehensive? 🤔 We systematically reviewed 400+ papers across HCI, NLP, and ML to develop a framework for 👫<>🤖"Bidirectional Human-AI Alignment", encompassing the dual paths of “Aligning AI to Human” and “Aligning Human to AI”. We also clarified core questions 🎯 of 'what is the alignment goal?', 'with whom to align?', and 'what are the human values?’ Further, we share 👩‍💻 our findings on values and interaction techniques for alignment. Check out the three challenges and potential solutions we envision for future research🌟! #HumanAIAlignment 💎arxiv.org/abs/2406.09264. 🧵1/ Huge thanks to our amazing team 💗 @tknearem, @reshmigh, Kenan Alkiek, @kundan_official, @YachuanLiu, @ziqiao_ma, @savvas_petridis, @yolohao, Li Qiwei, Sushrita Rakshit, @ChengleiSi, @yutxie, and our fabulous advisors @jeffbigham, @bentley79, Joyce Chai, @zacharylipton, @meiqzh, @radamihalcea, Michael Terry, @Diyi_Yang, @merrierm, @presnick, @david__jurgens! 🙏 Many thanks for all your great effort🤗!
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Lechen Zhang
Lechen Zhang@leczhang·
[1/13] LLMs are increasingly skilled at mimicking human agents in social settings, but have they truly developed a consistent personality? Check out our work accepted to #NAACL2024 where we question the reliability of persona tests applied to LLMs. Arxiv: arxiv.org/abs/2311.09718
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Dustin Wright
Dustin Wright@dustin_wright37·
📰New preprint! w/ @christian_igel @raghavian📰 BMRS: Bayesian Model Reduction for Structured Pruning Structured pruning makes neural nets efficient by removing full structures (e.g. neurons). But how do we know what to prune? Here's our approach: arxiv.org/pdf/2406.01345
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Debora Nozza
Debora Nozza@debora_nozza·
📢 JOBS📢 Come work with us @MilaNLProc! Looking for 2 POSTDOCS (two-year positions w/extension) to work on personalized and subjective approaches to #NLProc. Deadline: May 30 2024 Start date: from Sep 2024 Link: jobmarket.unibocconi.eu/?id=601
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Johannes Wachs
Johannes Wachs@johannes_wachs·
@natfriedman Some colleagues and I have been studying the impact of ChatGPT on SO using data on posts, not views: arxiv.org/abs/2307.07367 Besides a big decrease after ChatGPT, we observe a completely flat 2022, and earlier a big bump in activity during early Covid.
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Indira Sen
Indira Sen@indiiigosky·
Copenhagen is beautiful & #ic2s2 is amazing, but do you know what’s neither? 🚫 unintended bias towards marginalized people in hate speech detection systems. Presenting our poster (w/ @hide_yourself @clauwa @IAugenstein) today about how data augmentation can lead to such biases!
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Johannes Wachs
Johannes Wachs@johannes_wachs·
🚨 New working paper! Are Large Language Models a threat to digital public goods? @RMaria_drc N. Laurentsyeva and I find a 16% decrease in activity on @StackOverflow since release of #ChatGPT. Decrease is language dependent & reaches 25% by June: arxiv.org/abs/2307.07367 Thread⬇️
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Jiaxin Pei
Jiaxin Pei@jiaxin_pei·
How does annotator identity influence their judgments for NLP tasks? Collaborating with @Prolific, @david__jurgens and I created POPQUORN: a dataset with 45000 annotations on 4 NLP tasks by 1484 annotators with rich demographic information. Paper: arxiv.org/abs/2306.06826 🧵 1/11
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