Xinya Du
@Xinya16
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Assistant Professor of CS, at UT Dallas; Cornell University CS PhD. #NLProc #DL
Joined January 2016
Introducing MLR-Copilot: autonomous machine learning research with LLM agents, which. → generate research ideas.→ implement experiments.→ execute implementation with human feedback. 📑Paper 🔨Code 🤗Demo
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We compiled a list of open-source LLMs’ model and data usage restrictions and licenses. It helped with my search for an LLM to include in our grant proposal. -- guess which one(s) we finally included :). It is added to "The Practical Guides for LLMs"
Should we choose to use LLMs or smaller finetuned models in practical use cases? Take a look at our survey , which covers NLU tasks, Generation tasks, Knowledge-intensive tasks, abilities regarding scaling, some miscellaneous and real-world tasks.
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Thank you, Heng! Very happy to join Erik Jonsson School of Engineering and Computer Science (@UTDJonsson) at UTD (@UT_Dallas) Fall 2022 in a "warm" and super exciting city.
Congratulations to Claire Cardie’s PhD student Dr. Xinya Du on joining UTDallas as an assistant professor this fall! I’ve been privileged to mentor his postdoc research. Xinya will collaborate with the amazing folks such as Vincent Ng and will be looking for new collaborations.
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Just arrived at Singapore🇸🇬 for #EMNLP2023. Excited for reconnecting with colleagues/friends. Say hi if you’d like to chat about (multimodal) alignment/evaluation/hallucinations, interactive QA, IE, etc. I'm hiring fully funded PhD students. Pls reach out if interested.
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Check our recent work on building better LLM-based evaluators!.
Evaluating LLMs automatically via a ``strong’’ LLM (e.g. GPT-4) has inherent problems like self-enhancement. Inspired by insights from psychology and education, we propose peer eval (peer rank and peer discussion) to make LLMs better evaluators in this work. 🏅🥈🥉
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An insightful ACL 2022 paper based on research of Cornell's awesome undergraduates (advised by @clairecardie and me). ---- We built an automatic error analysis tool to gauge progress in IE since its inception "30 years ago", vs. four systems from the MUC-4 (1992) evaluation😀.
Automatic Error Analysis for Document-level Information Extraction. (arXiv:2209.07442v1 [) #NLProc.
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Nice to see Ozan (also a student of @clairecardie) as a member of this project! I started the NLP journey on opinion extraction with Bi-RNN back in 2014, which was based on his solid C++ implementation "entirely from stretch".
BloombergGPT is a new LLM for finance. It's a 50 billion parameter language model trained on financial data. Claims the largest domain-specific dataset yet with 363 billion tokens. further augmented with 345 billion tokens from general purpose
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Also, very excited to be a colleague with many awesome faculties in the department -- @irvlutd @rishiyer @davidyoung8906, etc.
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Thank you so much for my advisors (@clairecardie @elgreco_winter) and many collaborators @srush_nlp @scottyih @ABosselut @LuhengH (including many others that are not on Twitter)😄!.
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Congrats and welcome, Zhiyu!.
I will be joining @UT_Dallas as an Assistant Professor in @UTDJonsson in Fall 2024. Deep thanks to my advisors @WilliamWangNLP, Xifeng Yan, collaborators, and friends for supporting me as always. Currently, I'm working as a postdoc in @S3DatCMU. Look forward to the new journey!.
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@_julianmichael_ I recall our brief discussion on this project, and now I'm excited to have a look at the preprint :).
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The awesome & highly ranked ( NLP group at UTD (, including Me, Vincent, Jessica, Sanda , Dan and many others!.
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@gneubig @tomhosking The software package is here, -- It generates literal questions from a sentence. I used it in our work for sentence/paragraph-level question generation with neural models.
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@kaiwei_chang @jieyuzhao11 @GabrielSaadia @acbuller @Lianhuiq @ManlingLi_ @yuntiandeng @rajammanabrolu @YueDongCS @tanyaagoyal @MinaLee__ @alsuhr @wellecks @hllo_wrld Thank you for the advertising! @kaiwei_chang.
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