Da Yin

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 50

Top Topics

Causal Inference

Coronary Artery Disease

Top Venues

Publications

Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
Agent Lumos: Unified and Modular Training for Open-Source Language Agents. ACL (1) (2024)
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 A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester James V. 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
Consent in Crisis: The Rapid Decline of the AI Data Commons. CoRR (2024)
Fanjin Zhang, Kun Cao, Yukuo Cen, Jifan Yu, Da Yin, Jie Tang
PST-Bench: Tracing and Benchmarking the Source of Publications. CoRR (2024)
Zilong Wang, Yuedong Cui, Li Zhong, Zimin Zhang, Da Yin, Bill Yuchen Lin, Jingbo Shang
OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation. CoRR (2024)
Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, Bill Yuchen Lin
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents. ACL (1) (2024)
Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, Bill Yuchen Lin
Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents. CoRR (2024)
Aohan Zeng, Bin Xu, Bowen Wang, Chenhui Zhang, Da Yin, Diego Rojas, Guanyu Feng, Hanlin Zhao, Hanyu Lai, Hao Yu, Hongning Wang, Jiadai Sun, Jiajie Zhang, Jiale Cheng, Jiayi Gui, Jie Tang, Jing Zhang, Juanzi Li, Lei Zhao, Lindong Wu, Lucen Zhong, Mingdao Liu, Minlie Huang, Peng Zhang, Qinkai Zheng, Rui Lu, Shuaiqi Duan, Shudan Zhang, Shulin Cao, Shuxun Yang, Weng Lam Tam, Wenyi Zhao, Xiao Liu, Xiao Xia, Xiaohan Zhang, Xiaotao Gu, Xin Lv, Xinghan Liu, Xinyi Liu, Xinyue Yang, Xixuan Song, Xunkai Zhang, Yifan An, Yifan Xu, Yilin Niu, Yuantao Yang, Yueyan Li, Yushi Bai, Yuxiao Dong, Zehan Qi, Zhaoyu Wang, Zhen Yang, Zhengxiao Du, Zhenyu Hou, Zihan Wang
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. CoRR (2024)
Di Wu, Da Yin, Kai-Wei Chang
KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation. ACL (Findings) (2024)
Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs. CoRR (2023)
Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang
GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods. CVPR (2023)
Minxian Wang, Mengting Sun, Yao Yu, Xinsheng Li, Yongkui Ren, Da Yin
Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. CoRR (2023)
Xiao Liu, Da Yin, Chen Zhang, Yansong Feng, Dongyan Zhao
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code. CoRR (2023)
Da Yin, Weng Lam Tam, Ming Ding, Jie Tang
MRT: Tracing the Evolution of Scientific Publications. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang
GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods. CoRR (2023)
Xiao Liu, Da Yin, Chen Zhang, Yansong Feng, Dongyan Zhao
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code. ACL (Findings) (2023)
Christina Chance, Da Yin, Dakuo Wang, Kai-Wei Chang
Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts. CoRR (2023)
Di Wu, Da Yin, Kai-Wei Chang
KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems. CoRR (2023)
Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. EMNLP (2023)
Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? EMNLP (2022)
Da Yin, Li Dong, Hao Cheng, Xiaodong Liu, Kai-Wei Chang, Furu Wei, Jianfeng Gao
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models. CoRR (2022)
Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang
OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services. KDD (2022)
Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han
Towards a Unified Multi-Dimensional Evaluator for Text Generation. EMNLP (2022)
Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han
Towards a Unified Multi-Dimensional Evaluator for Text Generation. CoRR (2022)
Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. CoRR (2022)
Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? CoRR (2022)
Xiao Liu, Da Yin, Yansong Feng, Dongyan Zhao
Things not Written in Text: Exploring Spatial Commonsense from Visual Signals. ACL (1) (2022)
Xiao Liu, Da Yin, Yansong Feng, Dongyan Zhao
Things not Written in Text: Exploring Spatial Commonsense from Visual Signals. CoRR (2022)
Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. EMNLP (2022)
Xiao Liu, Da Yin, Yansong Feng, Yuting Wu, Dongyan Zhao
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis. NAACL-HLT (2021)
Xiao Liu, Da Yin, Yansong Feng, Yuting Wu, Dongyan Zhao
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis. CoRR (2021)
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. NAACL-HLT (2021)
Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang
Controllable Generation from Pre-trained Language Models via Inverse Prompting. CoRR (2021)
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang
CogView: Mastering Text-to-Image Generation via Transformers. CoRR (2021)
Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. NeurIPS Datasets and Benchmarks (2021)
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. CoRR (2021)
Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning. EMNLP (1) (2021)
Xiao Liu, Da Yin, Xingjian Zhang, Kai Su, Kan Wu, Hongxia Yang, Jie Tang
OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models. CoRR (2021)
Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang
Controllable Generation from Pre-trained Language Models via Inverse Prompting. KDD (2021)
Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning. CoRR (2021)
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang
CogView: Mastering Text-to-Image Generation via Transformers. NeurIPS (2021)
Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. CoRR (2021)
Da Yin, Tao Meng, Kai-Wei Chang
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics. ACL (2020)
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang
What Does BERT with Vision Look At? ACL (2020)
Da Yin, Tao Meng, Kai-Wei Chang
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics. CoRR (2020)
Da Yin, Xiuyu Wu, Baobao Chang
Interactive Neural Network: Leveraging Part-of-Speech Window for Aspect Term Extraction (Student Abstract). AAAI (2020)
Da Yin, Xiao Liu, Xiuyu Wu, Baobao Chang
A Soft Label Strategy for Target-Level Sentiment Classification. WASSA@NAACL-HLT (2019)
Da Yin, Xiao Liu, Xiaojun Wan
Interactive Multi-Grained Joint Model for Targeted Sentiment Analysis. CIKM (2019)
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang
VisualBERT: A Simple and Performant Baseline for Vision and Language. CoRR (2019)
Da Yin, Lianming Zhang, Kun Yang
A DDoS Attack Detection and Mitigation With Software-Defined Internet of Things Framework. IEEE Access 6 (2018)
Zhongkai Zhao, Da Yin, Yilin Jiang
Improved bee colony algorithm based on knowledge strategy for digital filter design. Int. J. Comput. Appl. Technol. 47 (2/3) (2013)