Da Yin

According to our database, Da Yin authored at least 32 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents.

Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, Bill Yuchen Lin

CoRR, 2024

PST-Bench: Tracing and Benchmarking the Source of Publications.

Fanjin Zhang, Kun Cao, Yukuo Cen, Jifan Yu, Da Yin, Jie Tang

CoRR, 2024

2023

Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients.

Minxian Wang, Mengting Sun, Yao Yu, Xinsheng Li, Yongkui Ren, Da Yin

BMC Medical Informatics Decis. Mak., December, 2023

MRT: Tracing the Evolution of Scientific Publications.

Da Yin, Weng Lam Tam, Ming Ding, Jie Tang

IEEE Trans. Knowl. Data Eng., 2023

Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs.

Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin

CoRR, 2023

Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts.

Christina Chance, Da Yin, Dakuo Wang, Kai-Wei Chang

CoRR, 2023

KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems.

Di Wu, Da Yin, Kai-Wei Chang

CoRR, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods.

Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code.

Xiao Liu, Da Yin, Chen Zhang, Yansong Feng, Dongyan Zhao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

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

CoRR, 2022

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

CoRR, 2022

OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services.

Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models.

Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?

Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Things not Written in Text: Exploring Spatial Commonsense from Visual Signals.

Xiao Liu, Da Yin, Yansong Feng, Dongyan Zhao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models.

Xiao Liu, Da Yin, Xingjian Zhang, Kai Su, Kan Wu, Hongxia Yang, Jie Tang

CoRR, 2021

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.

Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

CogView: Mastering Text-to-Image Generation via Transformers.

Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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 R. Radev

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis.

Xiao Liu, Da Yin, Yansong Feng, Yuting Wu, Dongyan Zhao

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Controllable Generation from Pre-trained Language Models via Inverse Prompting.

Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning.

Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics.

Da Yin, Tao Meng, Kai-Wei Chang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

What Does BERT with Vision Look At?

Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Interactive Neural Network: Leveraging Part-of-Speech Window for Aspect Term Extraction (Student Abstract).

Da Yin, Xiuyu Wu, Baobao Chang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

VisualBERT: A Simple and Performant Baseline for Vision and Language.

Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang

CoRR, 2019

A Soft Label Strategy for Target-Level Sentiment Classification.

Da Yin, Xiao Liu, Xiuyu Wu, Baobao Chang

Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, 2019

Interactive Multi-Grained Joint Model for Targeted Sentiment Analysis.

Da Yin, Xiao Liu, Xiaojun Wan

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

A DDoS Attack Detection and Mitigation With Software-Defined Internet of Things Framework.

Da Yin, Lianming Zhang, Kun Yang

IEEE Access, 2018

2013

Improved bee colony algorithm based on knowledge strategy for digital filter design.

Zhongkai Zhao, Da Yin, Yilin Jiang

Int. J. Comput. Appl. Technol., 2013