Yating Wu
@yatingwu.bsky.social
I'm a Ph.D. student from the ECE department at UT Austin. I'm supervised by Prof. Jessy Li and Prof. Alex Dimakis.
https://lingchensanwen.github.io/
https://lingchensanwen.github.io/
Reposted by Yating Wu
Check out our paper for more results and analysis!
📝 arxiv.org/abs/2504.09373
🐙 github.com/AlliteraryAl...
This was a fun collaboration with @yatingwu.bsky.social @asher-zheng.bsky.social @manyawadhwa.bsky.social @gregdnlp.bsky.social @jessyjli.bsky.social
📝 arxiv.org/abs/2504.09373
🐙 github.com/AlliteraryAl...
This was a fun collaboration with @yatingwu.bsky.social @asher-zheng.bsky.social @manyawadhwa.bsky.social @gregdnlp.bsky.social @jessyjli.bsky.social
QUDsim: Quantifying Discourse Similarities in LLM-Generated Text
As large language models become increasingly capable at various writing tasks, their weakness at generating unique and creative content becomes a major liability. Although LLMs have the ability to gen...
arxiv.org
April 21, 2025 at 9:31 PM
Check out our paper for more results and analysis!
📝 arxiv.org/abs/2504.09373
🐙 github.com/AlliteraryAl...
This was a fun collaboration with @yatingwu.bsky.social @asher-zheng.bsky.social @manyawadhwa.bsky.social @gregdnlp.bsky.social @jessyjli.bsky.social
📝 arxiv.org/abs/2504.09373
🐙 github.com/AlliteraryAl...
This was a fun collaboration with @yatingwu.bsky.social @asher-zheng.bsky.social @manyawadhwa.bsky.social @gregdnlp.bsky.social @jessyjli.bsky.social
Reposted by Yating Wu
Do you want to know what information LLMs prioritize in text synthesis tasks? Here's a short 🧵 about our new paper, led by Jan Trienes: an interpretable framework for salience analysis in LLMs.
First of all, information salience is a fuzzy concept. So how can we even measure it? (1/6)
First of all, information salience is a fuzzy concept. So how can we even measure it? (1/6)
February 21, 2025 at 6:15 PM
Do you want to know what information LLMs prioritize in text synthesis tasks? Here's a short 🧵 about our new paper, led by Jan Trienes: an interpretable framework for salience analysis in LLMs.
First of all, information salience is a fuzzy concept. So how can we even measure it? (1/6)
First of all, information salience is a fuzzy concept. So how can we even measure it? (1/6)
Reposted by Yating Wu
✨New paper✨
Linguistic evaluations of LLMs often implicitly assume that language is generated by symbolic rules.
In a new position paper, @adelegoldberg.bsky.social, @kmahowald.bsky.social and I argue that languages are not Lego sets, and evaluations should reflect this!
arxiv.org/pdf/2502.13195
Linguistic evaluations of LLMs often implicitly assume that language is generated by symbolic rules.
In a new position paper, @adelegoldberg.bsky.social, @kmahowald.bsky.social and I argue that languages are not Lego sets, and evaluations should reflect this!
arxiv.org/pdf/2502.13195
February 20, 2025 at 3:06 PM
✨New paper✨
Linguistic evaluations of LLMs often implicitly assume that language is generated by symbolic rules.
In a new position paper, @adelegoldberg.bsky.social, @kmahowald.bsky.social and I argue that languages are not Lego sets, and evaluations should reflect this!
arxiv.org/pdf/2502.13195
Linguistic evaluations of LLMs often implicitly assume that language is generated by symbolic rules.
In a new position paper, @adelegoldberg.bsky.social, @kmahowald.bsky.social and I argue that languages are not Lego sets, and evaluations should reflect this!
arxiv.org/pdf/2502.13195
Reposted by Yating Wu
I did a starter pack of ML/AI people at @utaustin.bsky.social Please distribute and feel free to self nominate!
go.bsky.app/QLQznZg
go.bsky.app/QLQznZg
November 22, 2024 at 9:25 AM
I did a starter pack of ML/AI people at @utaustin.bsky.social Please distribute and feel free to self nominate!
go.bsky.app/QLQznZg
go.bsky.app/QLQznZg
Reposted by Yating Wu
We at UT Linguistics are hiring for 🔥 2 faculty positions in Computational Linguistics! Assistant or Associate professors, deadline Dec 1.
UT has a super vibrant comp ling & #nlp community!!
Apply here 👉 apply.interfolio.com/158280
UT has a super vibrant comp ling & #nlp community!!
Apply here 👉 apply.interfolio.com/158280
November 19, 2024 at 10:45 PM
We at UT Linguistics are hiring for 🔥 2 faculty positions in Computational Linguistics! Assistant or Associate professors, deadline Dec 1.
UT has a super vibrant comp ling & #nlp community!!
Apply here 👉 apply.interfolio.com/158280
UT has a super vibrant comp ling & #nlp community!!
Apply here 👉 apply.interfolio.com/158280
I'll be presenting our work soon today from 11:15 to 11:30 AM @ Flagler. Come say hi!
Wednesday at #EMNLP: @yatingwu.bsky.social will present our work connecting curiosity and questions in discourse. We built strong models to predict salience, outperforming large LLMs.
👉[Oral] Discourse+Phonology+Syntax2 10:30-12:00 @ Flagler
also w/ Ritika Mangla @gregdnlp.bsky.social Alex Dimakis
👉[Oral] Discourse+Phonology+Syntax2 10:30-12:00 @ Flagler
also w/ Ritika Mangla @gregdnlp.bsky.social Alex Dimakis
November 13, 2024 at 2:33 PM
I'll be presenting our work soon today from 11:15 to 11:30 AM @ Flagler. Come say hi!
@jessyjli.bsky.social and @kmahowald.bsky.social are awesome advisors! Please apply to join the team!
Echoing @kmahowald.bsky.social! We are a super interdisciplinary comp ling group at UT Linguistics, collaborating across campus with CS, ECE, Psych, the iSchool, and more. Join us & apply by Dec 1!
I (+ others) are accepting grad students here in Austin! We have an exceptionally vibrant comp ling community across linguistics and CS here at UT nlp.utexas.edu. I’m based in linguistics but happy to work across departments. Topics I can or hope to be able to fund:
November 9, 2023 at 6:05 AM
@jessyjli.bsky.social and @kmahowald.bsky.social are awesome advisors! Please apply to join the team!
Reposted by Yating Wu
Looking forward to talking about this work and more at UT Austin this Friday.
November 4, 2023 at 2:31 PM
Looking forward to talking about this work and more at UT Austin this Friday.
Reposted by Yating Wu
Psych theories suggest that how we judge a situation (*cognitive appraisal*) leads to diverse emotions. Our #EMNLP 2023 Findings paper tests LLMs' ability to assess and explain such appraisals -- big gap between open-source LLMs and GPT3.5.
Paper arxiv.org/abs/2310.14389 w Hongli Zhan, Desmond Ong
Paper arxiv.org/abs/2310.14389 w Hongli Zhan, Desmond Ong
November 1, 2023 at 8:22 PM
Psych theories suggest that how we judge a situation (*cognitive appraisal*) leads to diverse emotions. Our #EMNLP 2023 Findings paper tests LLMs' ability to assess and explain such appraisals -- big gap between open-source LLMs and GPT3.5.
Paper arxiv.org/abs/2310.14389 w Hongli Zhan, Desmond Ong
Paper arxiv.org/abs/2310.14389 w Hongli Zhan, Desmond Ong
Reposted by Yating Wu
I'm happy to announce that 🐮Lil-Bevo🤠 is ready to see the world. It's UT Austin's submission to BabyLM with @kmahowald.bsky.social Juan Diego & Kaj Bostrom. We tried 3 strategies inspired by human learning - music, shorter sequences, and targeted pretraining. Read our paper: arxiv.org/abs/2310.17591
October 27, 2023 at 4:13 PM
I'm happy to announce that 🐮Lil-Bevo🤠 is ready to see the world. It's UT Austin's submission to BabyLM with @kmahowald.bsky.social Juan Diego & Kaj Bostrom. We tried 3 strategies inspired by human learning - music, shorter sequences, and targeted pretraining. Read our paper: arxiv.org/abs/2310.17591
Reposted by Yating Wu
To appear EMNLP2023: simplifying text involves explaining and elaborating concepts. Using QUDs in a question generation -> answering pipeline leads to much better generation of such elaborations!
arxiv.org/abs/2305.10387
w/ @yatingwu.bsky.social Will Sheffield @kmahowald.bsky.social
arxiv.org/abs/2305.10387
w/ @yatingwu.bsky.social Will Sheffield @kmahowald.bsky.social
October 25, 2023 at 11:57 PM
To appear EMNLP2023: simplifying text involves explaining and elaborating concepts. Using QUDs in a question generation -> answering pipeline leads to much better generation of such elaborations!
arxiv.org/abs/2305.10387
w/ @yatingwu.bsky.social Will Sheffield @kmahowald.bsky.social
arxiv.org/abs/2305.10387
w/ @yatingwu.bsky.social Will Sheffield @kmahowald.bsky.social
Reposted by Yating Wu
📢Our EMNLP 2023 work on Questions Under Discussion (QUD)! We introduce QUDeval, the first benchmark for evaluating the generation of open-ended questions and QUD parsing using linguistic principles.
Paper: arxiv.org/abs/2310.14520
w/ @yatingwu.bsky.social, Ritika Mangla, @gregdnlp.bsky.social
Paper: arxiv.org/abs/2310.14520
w/ @yatingwu.bsky.social, Ritika Mangla, @gregdnlp.bsky.social
October 24, 2023 at 10:22 PM
📢Our EMNLP 2023 work on Questions Under Discussion (QUD)! We introduce QUDeval, the first benchmark for evaluating the generation of open-ended questions and QUD parsing using linguistic principles.
Paper: arxiv.org/abs/2310.14520
w/ @yatingwu.bsky.social, Ritika Mangla, @gregdnlp.bsky.social
Paper: arxiv.org/abs/2310.14520
w/ @yatingwu.bsky.social, Ritika Mangla, @gregdnlp.bsky.social