I am a final-year PhD student in Computer Science at UCLA advised by Prof. Kai-Wei Chang, working in UCLANLP lab. I was awarded Amazon PhD Fellowship in 2023. I previously interned at Microsoft Research, AI2 Mosaic, and Amazon Alexa AI.
My research interest is building generalizable and inclusive language processing models that can be applied across applications and environments. I particularly focus on empowering stronger reasoning and planning ability of LLM agents/reasoners, and enhancing cross-region and cross-task generalizability.
I completed my bachelor's at Peking University, where I worked with Prof. Xiaojun Wan and Prof. Baobao Chang.
I'm actively looking for postdoc and industry research scientist position in 2025. Feel free to reach out if you're interested!.
In Progress
|
Xuan He*, Da Yin*, Nanyun Peng
(Equal Contribution) In Submission |
Zongyu Lin*, Yao Tang*, Da Yin*, Stuart X. Yao, Ziniu Hu, Yizhou Sun, Kai-Wei Chang
In Submission |
Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland
NeurIPS 2024 Dataset and Benchmark Track Featured by New York Times [ paper | code | Project Page ] |
Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
ACL 2024 Featured by Marktechpost [ paper | code | Project Page | Data & Models | Twitter ] |
Da Yin*, Xiao Liu*, Fan Yin*, Ming Zhong*, Hritik Bansal, Jiawei Han, Kai-Wei Chang
(Equal Contribution) EMNLP 2023 [ paper | code | Project Page | Twitter ] |
Stanley Lim, Da Yin, Nanyun Peng
Pan-DL workshop @ EMNLP 2023 (Pattern-based Approaches to NLP in the Age of Deep Learning) 🏆 Best Paper Award [ paper ] |
Da Yin, Li Dong, Hao Cheng, Xiaodong Liu, Kai-Wei Chang, Furu Wei, Jianfeng Gao
Presented at Spa-NLP workshop @ ACL 2022 (Semiparametric Methods in NLP) [ paper ] |
Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang
EMNLP 2021 (Oral, 315/3600≈8.8%) [ paper | code | Project Page | Slides ] |
Da Yin, Xiao Liu, Xiuyu Wu, Baobao Chang
WASSA workshop @ NAACL 2019 (Computational Approaches to Subjectivity, Sentiment and Social Media Analysis) [ paper ] |