Tianyu Liu @t_y_liu
PhD Student @ ETH Zürich Zürich Joined March 2020-
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Data-dependent decay and state dimension expansion are the key for Mamba/GLA matching Transformers!🚀 Also excited to present my NeurIPS spotlight paper [arxiv.org/abs/2311.04823] this Wednesday, which also shows the crucial role of data-dependent decay. Come and chat about RNNs!
Data-dependent decay and state dimension expansion are the key for Mamba/GLA matching Transformers!🚀 Also excited to present my NeurIPS spotlight paper [arxiv.org/abs/2311.04823] this Wednesday, which also shows the crucial role of data-dependent decay. Come and chat about RNNs!
Thank you to #EMNLP2023 chairs for the 😱 two 😱 outstanding paper awards! I am so grateful to have worked on these projects with wonderful colleagues — @tpimentelms (who is the first author on one of the papers!), @clara__meister, @kmahowald and @ryandcotterell
Tianyu and Afra's paper won an Outstanding Paper award at EMNLP 2023 and achieved perfect reviews: 5's for soundness and excitement and 5 from the AC. It's worth a read! openreview.net/forum?id=vtqfP…)
Tianyu and Afra's paper won an Outstanding Paper award at EMNLP 2023 and achieved perfect reviews: 5's for soundness and excitement and 5 from the AC. It's worth a read! openreview.net/forum?id=vtqfP…)
Language models show impressive performance on a wide variety of tasks, but are they overfitting to evaluation instances and specific task instantiations seen in their pretraining? How much of this performance represents general task/reasoning abilities? 1/4
Are you a big fan of structure? Have you ever wanted to apply the latest and greatest large language model out-of-the-box to parsing? Are you a secret connoisseur of linear-time dynamic programs? If you answered yes, our outstanding #ACL2023NLP paper may be just right for you!
Did you know that, when you add up the probability your language model gives every possible string, you might come up with less than 1 ?! 🤯 Turns out, this can happen! 1/n
Adding 2% parameters can enhance your multilingual language model and turn it into a knowledge base. Happy to share our #EMNLP2022 findings paper "Adapters for Enhanced Modeling of Multilingual Knowledge and Text", which uses a set of adapters for the enhancement. #AI #NLProc
Bill Yuchen Lin 🤖 @billyuchenlin
6K Followers 2K Following Research @allen_ai. I evaluate (multi-modal) LLMs, build agents, and study the science of LLMs. Previously: @GoogleAI & @MetaAI FAIR @nlp_uscLuca Soldaini 🎀 @soldni
6K Followers 1K Following I like tokens! Lead for OLMo data team at @allen_ai (Dolma 🍇), OSS is fun, @QueerInAI organizer 🤖☕️🍕they/them (views mine, not my employer’s)Tiago Pimentel @tpimentelms
1K Followers 248 Following Postdoc at @ETH_en. Formerly, PhD student at @Cambridge_Uni.Ryan David Cotterell @ryandcotterell
9K Followers 1K FollowingNiklas Stoehr @niklas_stoehr
799 Followers 754 Following PhD student @ETH advised by @RyanDCotterell, @Cervisiarius and @AaronSchein ⭕️ Language Model Interpretability and Application ⭕️ @GoogleAI, @TechAtBloombergKumar Shridhar @JupyterAI
586 Followers 1K Following PhD in ML/NLP @eth_en | I do #NLProc and #AI | Past: @MSFTResearch @AIatMeta @AmazonScience @rptu_kl_ld | He/him. Views are my own.Mrinmaya Sachan @mrinmayasachan
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116 Followers 736 Following @JHUCompSci Research Assistant @jhuclsp @mdredze Research interests: NLP, Reasoning/Alignment LLMs, RAGs, Multilingual NLP. (విజయ్ మురారి)Epsilon Guanlin Lee @Epsilon_Lee
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119 Followers 5K FollowingMd Nayem Uddin @nayemu11
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453 Followers 1K Following @ELLISForEurope PhD @UKPLab, @TUDarmstadt and @UCPH_Research| Trustworthy NLP | Prev @iiit_hyderabad |Chadapohn #StrikeForG.. @25metre
163 Followers 724 Following TRANS WOMEN ARE WOMEN AND TRANS MEN ARE MEN GET OVER IT! #FreeMyanmar #FreeHongkong #FreePalestinesUpsilon Omega @omega_upsilon
54 Followers 346 FollowingMiryam de Lhoneux/ @m.. @mdlhx
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493 Followers 2K Following Ph. D student in Applied Linguistics at UBD, research interests are Educational Psychology, Positive Psychology, Mindfulness.Nico Daheim @ndaheim_
201 Followers 391 Following @ELLISforEurope PhD student in NLP and ML at @UKPLab @TUDarmstadt and @ETH_en. Previously MSc. in Data Science @RWTH.Thomas Hoffmann @Linguist_UR
685 Followers 926 Following Family, linguistics, football – in that order.B @bbbb_bb_b
0 Followers 3K FollowingSasha Rush @srush_nlp
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6K Followers 857 Following Dist. Assist. Prof.@OhioState, Director @osunlp, 20% Researcher@Microsoft. I like to think about intelligence, artificial or biologicalBill Yuchen Lin 🤖 @billyuchenlin
6K Followers 2K Following Research @allen_ai. I evaluate (multi-modal) LLMs, build agents, and study the science of LLMs. Previously: @GoogleAI & @MetaAI FAIR @nlp_uscLuca Soldaini 🎀 @soldni
6K Followers 1K Following I like tokens! Lead for OLMo data team at @allen_ai (Dolma 🍇), OSS is fun, @QueerInAI organizer 🤖☕️🍕they/them (views mine, not my employer’s)Tiago Pimentel @tpimentelms
1K Followers 248 Following Postdoc at @ETH_en. Formerly, PhD student at @Cambridge_Uni.William Wang @WilliamWangNLP
14K Followers 718 Following UCSB NLP Lab + ML Center. https://t.co/6TOnqbk6YT https://t.co/KJYhnav3Et Mellichamp Chair Prof. at UCSB CS. PhD @ CMU SCS. Areas: #NLProc, Machine Learning, AI.Ryan David Cotterell @ryandcotterell
9K Followers 1K FollowingNiklas Stoehr @niklas_stoehr
799 Followers 754 Following PhD student @ETH advised by @RyanDCotterell, @Cervisiarius and @AaronSchein ⭕️ Language Model Interpretability and Application ⭕️ @GoogleAI, @TechAtBloombergKyunghyun Cho @kchonyc
61K Followers 2K Following a combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).Kumar Shridhar @JupyterAI
586 Followers 1K Following PhD in ML/NLP @eth_en | I do #NLProc and #AI | Past: @MSFTResearch @AIatMeta @AmazonScience @rptu_kl_ld | He/him. Views are my own.Mrinmaya Sachan @mrinmayasachan
2K Followers 2K Following Assistant Professor of Computer Science at ETH Zurich working in natural language processing (#NLProc), machine learning and education (#edtech).Tianyu Gao @gaotianyu1350
3K Followers 686 Following CS PhD student @Princeton @Princeton_nlp working on NLP. Previously: @Tsinghua_Uni @TsinghuaNLPDanqi Chen @danqi_chen
13K Followers 704 Following Assistant professor @princeton_nlp @princetonPLI @PrincetonCS. Previously: @facebookai, @stanfordnlp, @Tsinghua_UniTianyi Zhang @Tianyi_Zh
1K Followers 614 Following iterating ... I used to train more language models but am working on agents nowWenhao Yu @wyu_nd
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498 Followers 504 Following NLP researcher @cis_unimelb, focusing on subword tokenization and computational morphology.Thomas Hoffmann @Linguist_UR
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54 Followers 203 Following RA@Berkeley NLP; Yr4-CS@HKU; Currently Seeking PhD Position on 24FallJirui Qi @Jirui_Qi
74 Followers 84 Following Ph.D Candidate @GroNLP, University of Groningen #NLProcSaibo-Creator @SaiboGeng
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2 Followers 6 FollowingData-dependent decay and state dimension expansion are the key for Mamba/GLA matching Transformers!🚀 Also excited to present my NeurIPS spotlight paper [arxiv.org/abs/2311.04823] this Wednesday, which also shows the crucial role of data-dependent decay. Come and chat about RNNs!
Impressed by the performance of Mamba and believe in RNN? We provide a simple alternative solution! Excited to share Gated Linear Attention (GLA-Transformer). (1/n) arxiv.org/abs/2312.06635
Impressed by the performance of Mamba and believe in RNN? We provide a simple alternative solution! Excited to share Gated Linear Attention (GLA-Transformer). (1/n) arxiv.org/abs/2312.06635
@UCSanDiego @HDSIUCSD Anyone looking for a PhD in computational linguistics, acquisition, or pragmatics, I'd encourage you to apply to UCSD by Dec 15! I'm not formally recruiting now, but there are many great ppl there already in the area, and I will start advising in ling and data science in 2025🧑🎓
I'm in Singapore, attending EMNLP, presenting BabyLM, and trying the local durian. Also, bc many have asked, I guess this is as good a time as any to announce I will be starting as an Asst. Prof at @UCSanDiego in data science @HDSIUCSD and linguistics in Jan 2025! Come say hi!
You may have thought that left-recursion elimination was a solved problem, but yet I am at #EMNLP2023 with 35 pages of new juicy technical material to share. Check out our paper if you’ve got love for grammars, bijections, structural induction, … 👇 arxiv.org/pdf/2311.16258…
😄Got my first award! Our LEAF: Linguistically Enhanced Event Temporal Relation Framework got 🏆best paper award at Pan-DL workshop #EMNLP2023! ❤️Thanks Stanley Lim and @VioletNPeng! 1st author Stanley is a UCLA undergrad and it’s his 1st NLP proj! Excited to see his growth!
What a week in Singapore at #EMNLP2023! I gave my very first keynote at the #LChange23 workshop (on using neural language models to represent words and study word usage variation & change) 👇🧵
🤖 Ever wondered what RNN-based language models are truly capable of? Check out our #EMNLP2023 paper which places formal bounds on their capabilities! With @AnejSvete, @leoduw, and @RyanCotterell (1/7) arxiv.org/abs/2310.12942
I think 2.2 is an example from my LLM class (rycolab.io/classes/llm-s2…). Ruida was a top student.
Some of the most creative poster designs seen at @emnlpmeeting #EMNLP2023
This paper just won an outstanding paper award at #EMNLP2023 and I'm super proud of it! :) Make sure to chat to @weGotlieb about it, if you are in Singapore! Also, feel free to chat with me if you are in New Orleans for #NeurIPS2023
Are you interested in word lengths and natural language’s efficiency? If yes, our new #EMNLP2023 paper has everything you need: drama, suspense, a new derivation of Zipf’s law, an update to Piantadosi et al’s classic word length paper, transformers... 🧵 arxiv.org/abs/2312.03897
Tianyu and Afra's paper won an Outstanding Paper award at EMNLP 2023 and achieved perfect reviews: 5's for soundness and excitement and 5 from the AC. It's worth a read! openreview.net/forum?id=vtqfP…)
Modeling the interaction between tokens is vital to NLP. It takes quadratic time—every pair of tokens needs to be compared. Our #EMNLP2023 paper shows that, by casting this problem as sorting, this complexity can be reduced to linear—just like you can sort n numbers in O(n).
… and the end couldn’t be better: honored to receive an Outstanding Paper Award with @Jirui_Qi and @AriannaBisazza for “Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models” at #EMNLP2023 Check it out: arxiv.org/abs/2310.10378 @GroNlp @AmsterdamNLP
A wonderful surprise and a great start at #EMNLP! 🎊
Grateful to receive Outstanding Paper Award with @AriannaBisazza and @raquel_dmg at the memorable #EMNLP2023. Don’t miss it if you’re interested in “Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models”! arxiv.org/abs/2310.10378 @GroNlp @AmsterdamNLP
I'm at #NeurIPS2023! We'll present works on memory-efficient fine-tuning (MeZO, main conference oral), strong small LMs via pruning (Sheared LLaMA), and instruction-following evaluation (LLMBar). Check them out ⬇️
My awesome student @JamesYHuang36 just received an outstanding paper award at #EMNLP2023! He is looking for summer research intern. Please interview him.
Thank you to #EMNLP2023 chairs for the 😱 two 😱 outstanding paper awards! I am so grateful to have worked on these projects with wonderful colleagues — @tpimentelms (who is the first author on one of the papers!), @clara__meister, @kmahowald and @ryandcotterell
#EMNLP2023 is over now, but the fun continues in #NeurIPS2023😄Let me know if you are in New Orleans and want to chat about either of our outstanding papers!!! (Or about anything else!)
Thank you to #EMNLP2023 chairs for the 😱 two 😱 outstanding paper awards! I am so grateful to have worked on these projects with wonderful colleagues — @tpimentelms (who is the first author on one of the papers!), @clara__meister, @kmahowald and @ryandcotterell
Modeling the interaction between tokens is vital to NLP. It takes quadratic time—every pair of tokens needs to be compared. Our #EMNLP2023 paper shows that, by casting this problem as sorting, this complexity can be reduced to linear—just like you can sort n numbers in O(n).
📢New paper alert📢 Sometimes prosody is predictable from text, and sometimes it conveys its own information. We develop an NLP pipeline for extracting prosodic features from audio and using LMs to try to predict them from text. Read to find out just how redundant prosody is 🤔
Ever wondered whether prosody - the melody of speech 🎶 - conveys information beyond the text or whether it's just vocal gymnastics? 🏋️♂️ Great work by @MIT and @ETH_en soon to be seen at @emnlpmeeting arxiv.org/abs/2311.17233