Xingyao Wang

According to our database, Xingyao Wang authored at least 26 papers between 2020 and 2024.

Collaborative distances:

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

2024

Graph Convolutional Network With Connectivity Uncertainty for EEG-Based Emotion Recognition.

Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Zhipeng Cai, Lulu Zhao, Jianqing Li, Chengyu Liu

IEEE J. Biomed. Health Informatics, October, 2024

An Attribute-Decoupled Model for Onset Identification of Atrial Fibrillation in Single-Lead Electrocardiograms.

Qian Li, Xingyao Wang, Hongxiang Gao, Rongjun Ge, Jianqing Li, Chengyu Liu

IEEE Trans. Instrum. Meas., 2024

OpenDevin: An Open Platform for AI Software Developers as Generalist Agents.

Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig

CoRR, 2024

A Single Transformer for Scalable Vision-Language Modeling.

Yangyi Chen, Xingyao Wang, Hao Peng, Heng Ji

CoRR, 2024

Text-Based Reasoning About Vector Graphics.

Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji

CoRR, 2024

Advancing LLM Reasoning Generalists with Preference Trees.

Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun

CoRR, 2024

If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents.

Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi R. Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Yiquan Wang, Heng Ji, Chengxiang Zhai

CoRR, 2024

R-Tuning: Instructing Large Language Models to Say 'I Don't Know'.

Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

LETI: Learning to Generate from Textual Interactions.

Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Executable Code Actions Elicit Better LLM Agents.

Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets.

Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback.

Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales.

Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning.

Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Jianqing Li, Chengyu Liu

IEEE J. Biomed. Health Informatics, November, 2023

A Causal Intervention Scheme for Semantic Segmentation of Quasi-Periodic Cardiovascular Signals.

Xingyao Wang, Yuwen Li, Hongxiang Gao, Xianghong Cheng, Jianqing Li, Chengyu Liu

IEEE J. Biomed. Health Informatics, July, 2023

Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown.

Genglin Liu, Xingyao Wang, Lifan Yuan, Yangyi Chen, Hao Peng

CoRR, 2023

R-Tuning: Teaching Large Language Models to Refuse Unknown Questions.

Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang

CoRR, 2023

Defining a New NLP Playground.

Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi Ren Fung, Charles Yu, Joel R. Tetreault, Eduard H. Hovy, Heng Ji

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

ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation.

Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji

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

Making Pre-trained Language Models both Task-solvers and Self-calibrators.

Yangyi Chen, Xingyao Wang, Heng Ji

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

Code4Struct: Code Generation for Few-Shot Event Structure Prediction.

Xingyao Wang, Sha Li, Heng Ji

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language.

Xingyao Wang, Sha Li, Heng Ji

CoRR, 2022

POTATO: The Portable Text Annotation Tool.

Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Apostolos Dedeloudis, Jackson Sargent, David Jurgens

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

2021

Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters.

Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen, Yongjian Wu, Xiaowen Chu

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog.

Xingyao Wang, David Jurgens

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Lane Extraction and Quality Evaluation: A Hough Transform Based Approach.

Xingyao Wang, Da Yan, Ke Chen, Yancong Deng, Cheng Long, Kunlin Zhang, Sibo Yan

Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020