Xiang Yue

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 77

Top Topics

Differential Privacy

Matrix Factorization

Ensemble Learning

Top Venues

Publications

Xiang Yue, Tuney Zheng, Ge Zhang, Wenhu Chen
MAmmoTH2: Scaling Instructions from the Web. CoRR (2024)
Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation. ACL (1) (2024)
Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xinrun Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Stephen W. Huang, Wenhu Chen, Jie Fu, Ge Zhang
MuPT: A Generative Symbolic Music Pretrained Transformer. CoRR (2024)
Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, Wenhu Chen
Long-context LLMs Struggle with Long In-context Learning. CoRR (2024)
Qianqi Yan, Xuehai He, Xiang Yue, Xin Eric Wang
Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA. CoRR (2024)
Yifei Li, Xiang Yue, Zeyi Liao, Huan Sun
AttributionBench: How Hard is Automatic Attribution Evaluation? ACL (Findings) (2024)
Yifei Li, Xiang Yue, Zeyi Liao, Huan Sun
AttributionBench: How Hard is Automatic Attribution Evaluation? CoRR (2024)
Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures. 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)
Alex Zhuang, Ge Zhang, Tianyu Zheng, Xinrun Du, Junjie Wang, Weiming Ren, Stephen W. Huang, Jie Fu, Xiang Yue, Wenhu Chen
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding. CoRR (2024)
Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue
Machine Unlearning of Pre-trained Large Language Models. ACL (1) (2024)
Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. CoRR (2024)
Boshi Wang, Xiang Yue, Yu Su, Huan Sun
Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization. CoRR (2024)
Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue
Machine Unlearning of Pre-trained Large Language Models. CoRR (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)
Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng
Data Engineering for Scaling Language Models to 128K Context. CoRR (2024)
Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. ACL (Findings) (2024)
Jiawei Guo, Ziming Li, Xueling Liu, Kaijing Ma, Tianyu Zheng, Zhouliang Yu, Ding Pan, Yizhi Li, Ruibo Liu, Yue Wang, Shuyue Guo, Xingwei Qu, Xiang Yue, Ge Zhang, Wenhu Chen, Jie Fu
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models. CoRR (2024)
Wenhao Wu, Yizhong Wang, Yao Fu, Xiang Yue, Dawei Zhu, Sujian Li
Long Context Alignment with Short Instructions and Synthesized Positions. CoRR (2024)
Yubo Wang, Xueguang Ma, Ge Zhang, Yuansheng Ni, Abhranil Chandra, Shiguang Guo, Weiming Ren, Aaran Arulraj, Xuan He, Ziyan Jiang, Tianle Li, Max Ku, Kai Wang, Alex Zhuang, Rongqi Fan, Xiang Yue, Wenhu Chen
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark. CoRR (2024)
Tianshu Zhang, Xiang Yue, Yifei Li, Huan Sun
TableLlama: Towards Open Large Generalist Models for Tables. NAACL-HLT (2024)
Junpeng Liu, Yifan Song, Bill Yuchen Lin, Wai Lam, Graham Neubig, Yuanzhi Li, Xiang Yue
VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding? CoRR (2024)
Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning. ICLR (2024)
Xiang Yue, Boshi Wang, Kai Zhang, Ziru Chen, Yu Su, Huan Sun
Automatic Evaluation of Attribution by Large Language Models. CoRR (2023)
Minxin Du, Xiang Yue, Sherman S. M. Chow, Tianhao Wang, Chenyu Huang, Huan Sun
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass. CoRR (2023)
Minxin Du, Xiang Yue, Sherman S. M. Chow, Tianhao Wang, Chenyu Huang, Huan Sun
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass. CCS (2023)
Xiang Yue, Yuansheng Ni, Kai Zhang, Tianyu Zheng, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. CoRR (2023)
Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning. CoRR (2023)
Lingbo Mo, Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Sunit Singh, Samuel Stevens, Chang-You Tai, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun
Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System. SIGDIAL (2023)
Boshi Wang, Xiang Yue, Huan Sun
Can ChatGPT Defend the Truth? Automatic Dialectical Evaluation Elicits LLMs' Deficiencies in Reasoning. CoRR (2023)
Xiang Yue, Boshi Wang, Ziru Chen, Kai Zhang, Yu Su, Huan Sun
Automatic Evaluation of Attribution by Large Language Models. EMNLP (Findings) (2023)
Yong Tian, Xiang Yue, Lin Wang, Yan Feng
Vibration suppression of collaborative robot based on modified trajectory planning. Ind. Robot 50 (1) (2023)
Minxin Du, Xiang Yue, Sherman S. M. Chow, Huan Sun
Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy. WWW (2023)
Xiang Yue, Huseyin A. Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Hoda Shajari, Huan Sun, David Levitan, Robert Sim
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. ACL (1) (2023)
Lingbo Mo, Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Sunit Singh, Samuel Stevens, Chang-You Tai, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun
Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System. CoRR (2023)
Xiang Yue, Yan Feng, Kai Qi, Yang Zhang, Yifeng Song
A Deeping-Learning-Based Foreign Object Inspection System Design for Overhead Power Transmission Lines. ICARM (2023)
Tianshu Zhang, Xiang Yue, Yifei Li, Huan Sun
TableLlama: Towards Open Large Generalist Models for Tables. CoRR (2023)
Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation. CoRR (2023)
Boshi Wang, Xiang Yue, Huan Sun
Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate. EMNLP (Findings) (2023)
Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Lingbo Mo, Samuel Stevens, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun
Bootstrapping a User-Centered Task-Oriented Dialogue System. CoRR (2022)
Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. ACL (2) (2022)
Xiang Yue, Yan Feng, Binzhang Jiang, Lin Wang, Junming Hou
Automatic Obstacle-Crossing Planning for a Transmission Line Inspection Robot Based on Multisensor Fusion. IEEE Access 10 (2022)
Xiang Yue, Hongguang Wang, Yan Feng, Yong Tian, Wei Wang
Improving Stability of Line Inspection Robot During Crossing Jumper Lines With a Centroid Adjustment Adjusting Mechanism. IEEE Access 10 (2022)
Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. CoRR (2022)
Xiang Yue, Ziyu Yao, Huan Sun
Synthetic Question Value Estimation for Domain Adaptation of Question Answering. ACL (1) (2022)
Xiang Yue, Huseyin A. Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Huan Sun, David Levitan, Robert Sim
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. CoRR (2022)
Xiang Yue, Ziyu Yao, Huan Sun
Synthetic Question Value Estimation for Domain Adaptation of Question Answering. CoRR (2022)
Xiang Yue, Xinliang Frederick Zhang, Ziyu Yao, Simon M. Lin, Huan Sun
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering. BIBM (2021)
Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow
Differential Privacy for Text Analytics via Natural Text Sanitization. CoRR (2021)
Feng Huang, Xiang Yue, Zhankun Xiong, Zhouxin Yu, Shichao Liu, Wen Zhang
Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations. Briefings Bioinform. 22 (3) (2021)
Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow
Differential Privacy for Text Analytics via Natural Text Sanitization. ACL/IJCNLP (Findings) (2021)
Xinliang Frederick Zhang, Heming Sun, Xiang Yue, Simon M. Lin, Huan Sun
COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval. EMNLP (1) (2021)
Xiang Yue, Bernal Jimenez Gutierrez, Huan Sun
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset. CoRR (2020)
Xiang Yue, Bernal Jimenez Gutierrez, Huan Sun
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset. ACL (2020)
Xiang Yue, Shuang Zhou
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation. CoRR (2020)
Xiang Yue, Xinliang Frederick Zhang, Ziyu Yao, Simon M. Lin, Huan Sun
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering. CoRR (2020)
Xinliang Frederick Zhang, Heming Sun, Xiang Yue, Emmett Jesrani, Simon M. Lin, Huan Sun
COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval. CoRR (2020)
Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun
Graph embedding on biomedical networks: methods, applications and evaluations. Bioinform. 36 (4) (2020)
Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch
Toward Making the Most of Context in Neural Machine Translation. CoRR (2020)
Kaushik Mani, Xiang Yue, Bernal Jimenez Gutierrez, Yungui Huang, Simon M. Lin, Huan Sun
Clinical Phrase Mining with Language Models. BIBM (2020)
Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch
Towards Making the Most of Context in Neural Machine Translation. IJCAI (2020)
Bernhard Kratzwald, Xiang Yue, Huan Sun, Stefan Feuerriegel
Practical Annotation Strategies for Question Answering Datasets. CoRR (2020)
Xiang Yue, Shuang Zhou
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation. ClinicalNLP@EMNLP (2020)
Zhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Huan Sun
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data. CoRR (2019)
Zhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Huan Sun
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data. KDD (2019)
Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations. CoRR (2019)
Shuang Zhou, Xiang Yue, Xinran Xu, Shichao Liu, Wen Zhang, Yanqing Niu
LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning. BIBM (2019)
Guangsheng Wu, Juan Liu, Xiang Yue
Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition. BMC Bioinform. 20 (1) (2019)
Wen Zhang, Yanlin Chen, Dingfang Li, Xiang Yue
Manifold regularized matrix factorization for drug-drug interaction prediction. J. Biomed. Informatics 88 (2018)
Wen Zhang, Xiang Yue, Weiran Lin, Wenjian Wu, Ruoqi Liu, Feng Huang, Feng Liu
Predicting drug-disease associations by using similarity constrained matrix factorization. BMC Bioinform. 19 (1) (2018)
Guifeng Tang, Jingwen Shi, Wenjian Wu, Xiang Yue, Wen Zhang
Sequence-based bacterial small RNAs prediction using ensemble learning strategies. BMC Bioinform. (20) (2018)
Wen Zhang, Feng Huang, Xiang Yue, Xiaoting Lu, Weitai Yang, Zhishuai Li, Feng Liu
Prediction of Drug-Disease Associations and Their Effects by Signed Network-Based Nonnegative Matrix Factorization. BIBM (2018)
Wen Zhang, Xiang Yue, Guifeng Tang, Wenjian Wu, Feng Huang, Xining Zhang
SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions. PLoS Comput. Biol. 14 (12) (2018)
Wen Zhang, Xiang Yue, Yanlin Chen, Weiran Lin, Bolin Li, Feng Liu, Xiaohong Li
Predicting drug-disease associations based on the known association bipartite network. BIBM (2017)
Wen Zhang, Xiang Yue, Feng Liu, Yanlin Chen, Shikui Tu, Xining Zhang
A unified frame of predicting side effects of drugs by using linear neighborhood similarity. BMC Syst. Biol. 11 (6) (2017)
Wen Zhang, Jingwen Shi, Guifeng Tang, Wenjian Wu, Xiang Yue, Dingfang Li
Predicting small RNAs in bacteria via sequence learning ensemble method. BIBM (2017)
Fang Jiang, Guohe Li, Xiang Yue
基于语义的文档特征提取研究方法 (Semantic-based Feature Extraction Method for Document). 计算机科学 43 (2) (2016)
Xiang Yue, Hongguang Wang, Yong Jiang, Ning Xi, Jikui Xu
Research on a novel inspection robot mechanism for power transmission lines. ROBIO (2015)