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🌴Muhao Chen🌴
443 posts
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🌴Muhao Chen🌴
@muhao_chen
🐹Associate Professor of Computer Science @UCDavis🐹 | 💙PhD @UCLAComSci 2019💛 | 🌴加州boy🌴 | 🎸@GALNERYUSOFFIC2#1🎧! |♛Collecting⌚♛
Sacramento, CA
luka-group.github.io
Born May 24, 1992
Joined January 2016
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  • user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    Dec 10, 2023
    My awesome student @JamesYHuang36 just received an outstanding paper award at #EMNLP2023! He is looking for summer research intern. Please interview him.
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  • user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    Oct 6, 2022
    We have six papers accepted to #EMNLP2022 on robust IE and ML, indirect supervision, summarization, geospatial NLP, and precondition reasoning. Many thanks to our collaborators from Cambridge, CMU, Tencent, UCLA, and UMN.
  • user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    Oct 10, 2023
    Join us in Mexico City in June 2024!
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    15K
  • user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    Jun 7, 2024
    Materials of our @naaclmeeting #NAACL2024 tutorial will be realized at here: luka-group.github.io/tutorials/tuto… See you soon in Mexico City in 9 days!
    user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    Oct 10, 2023
    Join us in Mexico City in June 2024!
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    6.1K
  • user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    Feb 7, 2024
    Paper: arxiv.org/abs/2401.12255 Website: cnut1648.github.io/Model-Fingerpr… We present a pilot study on LLM fingerprinting as a form of very lightweight instruction tuning. Model publisher specifies a confidential private key and implants it as an instruction backdoor that causes the LLM
    arXiv logo
    arxiv.org
    Instructional Fingerprinting of Large Language Models
    The exorbitant cost of training Large language models (LLMs) from scratch makes it essential to fingerprint the models to protect intellectual property via ownership authentication and to ensure...
    15K
  • user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    Jul 18, 2021
    #ACL2021 Our upcoming tutorial "Event-centric NLP" at @aclmeeting is online. Slides and pre-recorded presentations are available at: cogcomp.seas.upenn.edu/page/tutorial.…
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    🌴Muhao Chen🌴
    @muhao_chen
    Dec 21, 2022
    Very excited to receive an Amazon Research Award to support our research "On Faithfulness of Information Extraction". Thank you @AmazonScience!
    8.2K
  • user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    Jul 9, 2022
    In addition to our tutorial, at the main conference of #NAACL2022, the LUKA Group, together with our collaborators, will present the following papers. See you soon in two days and looking forward to the exciting discussions!
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  • user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    Jul 5, 2023
    The LUKA Group, along with our friends, will present the following papers and a tutorial in the coming #ACL2023. See you soon in 5 days and looking forwarding to the exciting discussions!
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    6K
  • user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    Oct 25, 2022
    #EMNLP2022 Relation extraction has been an expensive task relying on structural annotation. We mitigate this need using indirect supervision from abstractive summarization -- a more resource-rich task that also refines information from longer text. arxiv.org/abs/2205.09837
  • user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    Apr 6, 2024
    Inspired by our UMN friend @yaoyichiang, we just decided to list our animal staff on our lab website: luka-group.github.io/people.html
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    4.5K
  • user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    Jan 22, 2024
    TODO: Gates of the Arctic this summer. That’s the last national park for me to drive to in US.
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    3K
  • user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    Mar 31, 2023
    #ACL2023: With @Wenpeng_Yin, @BenZhou96, Qiang, @kaiwei_chang and @DanRothNLP, we will present a new tutorial at @aclmeeting about the emerging research direction of indirect and incidental supervision for NLP. Materials will be shared through @cogcomp shortly.
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  • user avatar
    🌴Muhao Chen🌴
    @muhao_chen
    May 7, 2024
    I have to miss #ICLR2024 due to teaching, but would still like to shoutout for our UniversalNER. This is an extremely strong open NER system that provides precise recognition in many domains and for any new entity types (outperforming ChatGPT by 9% on 43 NER datasets across 9
    user avatar
    AK
    @_akhaliq
    Aug 8, 2023
    UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition paper page: huggingface.co/papers/2308.03… Large language models (LLMs) have demonstrated remarkable generalizability, such as understanding arbitrary entities and relations. Instruction
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