William Wang

@WilliamWangNLP

UCSB NLP Lab + ML Center. Mellichamp Chair Prof. at UCSB CS. PhD @ CMU SCS. Areas: , Machine Learning, AI.

Santa Barbara, CA
cs.ucsb.edu/~william
Joined February 2012
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  1. Sep 1

    Wow, ~3K in length per review? What an impressive recognition. Congratulations!

    IJCAI conferences would not be possible without you, the reviewers. At the 20 out of 1940 Programme Committee Members receive the IJCAI-21 Distinguished PC Award ➡
    2 replies 19 likes
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  2. Aug 28

    Happy to share that our paper “A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space,” written in collaboration with Dartmouth undergrad Alex Jones and my colleague , has been accepted to the EMNLP main conference!

    1 reply 4 retweets 46 likes
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  3. Aug 27

    Congratulations Michael and colleagues on a new workable definition, measure, and solution for transparency in ! I’m excited about this project!

    Our work "Modeling Disclosive Transparency in NLP Application Descriptions" (with ) will appear at ! We dicuss the vagueness of the concept of "disclosure" and introduce LM-based objective metrics to remediate.
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    8 likes
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  4. Aug 26

    Congratulations Sharon Levy and colleagues on this timely work about COVID-19 Question Answering. See our preliminary demo video:

    Excited to share that our demo paper “Open-Domain Question-Answering for COVID-19 and Other Emergent Domains” was accepted to ! w/ Kevin Mo, , and !
    11 likes
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  5. Retweeted
    Aug 23

    Getting ready for the job market? Check out & my blog post on the job search w/ lots of resources! And, feel free to come chat! One slot remains for Nov/Dec and January is wide open :)

    Come On In Come In GIF
    If you're a person (esp. for students but it's open) who would like to chat about research, career development, or etc., I've created monthly office hours slots on Friday. Feel free to schedule some time if you would like to chat.
    3 replies 26 retweets 97 likes
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  6. Retweeted
    Aug 20

    🎉Our VALUE paper has been accepted to NeurIPS 2021 Dataset and Benchmark Track. Only 25 days left for the VALUE Challenge 2021! Participate to win up to $22.5K prizes! More details:

    0:12
    Understanding the interplay between video and language is essential for general purpose AI systems. Researchers from Microsoft, UNC, UCSB, UCSC and Tsinghua are creating a new benchmark to track the progress of this field. More details:
    9 retweets 48 likes
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  7. Aug 16

    Congratulations Dheeraj Baby and Prof. Yu-Xiang Wang on their best student paper award at !

    Paper by & Dheeraj Baby Selected For Best Student Paper Award at (Conference on Learning Theory)
    2 retweets 7 likes
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  8. Retweeted
    Aug 15

    Our panel discussion is starting in 5 min - Bias & Fairness using user generated content with (Megagon Labs), Thom Lake(), (IBM Research), (UC Riverside), (UCSB)!

    4 retweets 8 likes
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  9. Retweeted
    Aug 4

    Honored and flattered to receive the best paper award of . Thank to wonderful co-authors Jingjing, Hao, Chun and Zaixiang, to the extraordinary MLNLC team at Bytedance AI Lab, and zhenyuan, weiying, hang, and ACL committee for support! to Olympic sprinter

    1 reply 19 retweets 111 likes
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  10. Aug 4

    Starting in 15 mins: looking forward to seeing you there!

    folks, I will organize a BoF session on Machine Learning Wednesday morning Aug 4 10am Pacific Time / 17:00 UTC - 18:00 UTC. Everyone is welcome to join and suggest topics to discuss.
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  11. Aug 3

    An excellent blog post by Sharon Levy and Michael Saxon on their awesome findings paper on a very timely topic: understanding *conspiracy theories* from large LMs via the lens of memorization, generation, and hallucination.

    1/3 GPT-2 and similar models are known to output memorized training data. Can they be prompted to output conspiracy theories? Yes. 's findings paper cleverly answers this question without access to the training dataset.
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    2 retweets 12 likes
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  12. Aug 3

    Strongly recommended. Happy to continue to discuss the topics tomorrow in ML BoF session.

    In nervous anticipation of my keynote, I recorded myself giving my talk, and I've posted that version for people who can't attend the live event. The video has high-quality captions, and you don't particularly need video to follow along:
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    11 likes
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  13. Aug 2

    Very nice blog post explaining Zero-Shot Fact Verification and the use of claim generation model to tackle this problem. written/edited by

    4 retweets 13 likes
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  14. Aug 2

    folks, I will organize a BoF session on Machine Learning Wednesday morning Aug 4 10am Pacific Time / 17:00 UTC - 18:00 UTC. Everyone is welcome to join and suggest topics to discuss.

    1 reply 2 retweets 17 likes
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  15. Aug 2

    Just ordered Bangkok Street Noodle from my local Thai restaurant over the weekend to pretend that I'm in Thailand for ... 😅

    1 reply 23 likes
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  16. Retweeted
    Aug 1

    9D: Semantics (Aug 3 10:00 UTC): Catch our new paper "Zero-shot Fact Verification by Claim Generation" (joint work with ). Paper: Talk:

    Hi all, our new paper on "Zero-shot Fact Verification by Claim Generation" is now at . We propose a framework based on question generation to automatically generate (evidence, claim) pairs to train the fact verification model.
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    4 retweets 13 likes
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  17. Jul 31

    UCSB Group welcomes new faculty and co-Director Prof. Lei Li : Don’t forget to check out his Best Paper on optimal transport for vocabulary reduction next week.

    6 replies 5 retweets 110 likes
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  18. Jul 31

    New paper on Neural Stylistic Response Generation with Disentangled Latent Variables is now available: We introduce a structured latent space approach for disentangling content and style in conversational response generation.

    1 reply 17 likes
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  19. Jul 28

    How to do influential research: a few lessons learned by Xiaodong He. Great summary!

    4 replies 58 retweets 285 likes
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  20. Jul 24

    Author response.

    1 reply 3 retweets 57 likes
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