I am a 4th-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 AI2 Mosaic Team in Summer 2023, mentored by Bill Yuchen Lin and Yejin Choi; Amazon Alexa AI in Summer 2022, mentored by Feng Gao and Govind Thattai.

I study Natural Language Processing (NLP) and intersection of NLP and Computer Vision (CV). My research interest is building generalizable and inclusive language processing models that can be applied across applications and regions.

I completed my bachelor's at Peking University, where I worked with Prof. Xiaojun Wan and Prof. Baobao Chang.

Publications

Lumos: Language Agents with Unified Formats, Modular Design, and Open-Source LLMs Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin Arxiv Preprint [ paper | code | Project Page | Twitter ]

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation Da Yin*, Xiao Liu*, Fan Yin*, Ming Zhong*, Hritik Bansal, Jiawei Han, Kai-Wei Chang (Equal Contribution) EMNLP 2023 [ paper | code | Project Page | Twitter ]

KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems Di Wu, Da Yin, Kai-Wei Chang Arxiv Preprint [ paper ]

LEAF: Linguistically Enhanced Event Temporal Relation Framework 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 ]

The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code Xiao Liu, Da Yin, Chen Zhang, Yansong Feng, Dongyan Zhao ACL 2023 Findings [ paper | code ]

GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang CVPR 2023 [ paper | code ]

GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang EMNLP 2022 (Oral, 175/4100≈4.3%) [ paper | code ]

How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? Hritik Bansal*, Da Yin*, Masoud Monajatipoor, Kai-Wei Chang (Equal Contribution) EMNLP 2022 (Oral, 175/4100≈4.3%) [ paper | code ]

Towards a Unified Multi-Dimensional Evaluator for Text Generation Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han EMNLP 2022 (Oral, 175/4100≈4.3%) [ paper | code ]

Things not Written in Text: Exploring Spatial Commonsense from Visual Signals Xiao Liu, Da Yin, Yansong Feng, Dongyan Zhao ACL 2022 [ paper | code ]

A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models 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 ]

Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang EMNLP 2021 (Oral, 315/3600≈8.8%) [ paper | code | Project Page | Slides ]

Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis Xiao Liu*, Da Yin*, Yansong Feng, Yuting Wu, Dongyan Zhao (Equal Contribution) NAACL 2021 (Oral) [ paper | code ]

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization Ming Zhong*, Da Yin*, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir Radev (Equal Contribution) NAACL 2021 (Oral) [ paper | code ]

SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics Da Yin, Tao Meng, Kai-Wei Chang ACL 2020 [ paper | code ]

What Does BERT with Vision Look At? Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang ACL 2020 [ paper | code ]

VisualBERT: A Simple and Performant Baseline for Vision and Language Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang Arxiv Preprint [ paper | code ]

Interactive Multi-Grained Joint Model for Targeted Sentiment Analysis Da Yin*, Xiao Liu*, Xiaojun Wan (Equal Contribution) CIKM 2019 [ paper ]

A Soft Label Strategy for Target-Level Sentiment Classification Da Yin, Xiao Liu, Xiuyu Wu, Baobao Chang WASSA workshop @ NAACL 2019 (Computational Approaches to Subjectivity, Sentiment and Social Media Analysis) [ paper ]