Xiang Yue

According to our database, Xiang Yue authored at least 71 papers between 2015 and 2024.

Collaborative distances:

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

2024

Teach Multimodal LLMs to Comprehend Electrocardiographic Images.

Ruoqi Liu, Yuelin Bai, Xiang Yue, Ping Zhang

CoRR, 2024

JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation.

Shota Onohara, Atsuyuki Miyai, Yuki Imajuku, Kazuki Egashira, Jeonghun Baek, Xiang Yue, Graham Neubig, Kiyoharu Aizawa

CoRR, 2024

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages.

Xiang Yue, Yueqi Song, Akari Asai, Seungone Kim, Jean de Dieu Nyandwi, Simran Khanuja, Anjali Kantharuban, Lintang Sutawika, Sathyanarayanan Ramamoorthy, Graham Neubig

CoRR, 2024

Harnessing Webpage UIs for Text-Rich Visual Understanding.

Junpeng Liu, Tianyue Ou, Yifan Song, Yuxiao Qu, Wai Lam, Chenyan Xiong, Wenhu Chen, Graham Neubig, Xiang Yue

CoRR, 2024

MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures.

Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li, David Junhao Zhang, Xiang Yue, Fuzhao Xue, Zian Zheng, Kaichen Zhang, Mahir Shah, Kabir Jain, Yang You, Michael Shieh

CoRR, 2024

MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks.

Jiacheng Chen, Tianhao Liang, Sherman Siu, Zhengqing Wang, Kai Wang, Yubo Wang, Yuansheng Ni, Wang Zhu, Ziyan Jiang, Bohan Lyu, Dongfu Jiang, Xuan He, Yuan Liu, Hexiang Hu, Xiang Yue, Wenhu Chen

CoRR, 2024

KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks.

Kaijing Ma, Xinrun Du, Yunran Wang, Haoran Zhang, Zhoufutu Wen, Xingwei Qu, Jian Yang, Jiaheng Liu, Minghao Liu, Xiang Yue, Wenhao Huang, Ge Zhang

CoRR, 2024

Visual Perception in Text Strings.

Qi Jia, Xiang Yue, Shanshan Huang, Ziheng Qin, Yizhu Liu, Bill Yuchen Lin, Yang You

CoRR, 2024

SimulBench: Evaluating Language Models with Creative Simulation Tasks.

Qi Jia, Xiang Yue, Tianyu Zheng, Jie Huang, Bill Yuchen Lin

CoRR, 2024

LIME: Less Is More for MLLM Evaluation.

King Zhu, Qianbo Zang, Shian Jia, Siwei Wu, Feiteng Fang, Yizhi Li, Shawn Gavin, Tuney Zheng, Jiawei Guo, Bo Li, Haoning Wu, Xingwei Qu, Jian Yang, Zachary Liu, Xiang Yue, J. H. Liu, Chenghua Lin, Min Yang, Shiwen Ni, Wenhao Huang, Ge Zhang

CoRR, 2024

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark.

Xiang Yue, Tianyu Zheng, Yuansheng Ni, Yubo Wang, Kai Zhang, Shengbang Tong, Yuxuan Sun, Botao Yu, Ge Zhang, Huan Sun, Yu Su, Wenhu Chen, Graham Neubig

CoRR, 2024

MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures.

Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You

CoRR, 2024

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

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

CoRR, 2024

Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA.

Qianqi Yan, Xuehai He, Xiang Yue, Xin Eric Wang

CoRR, 2024

Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization.

Boshi Wang, Xiang Yue, Yu Su, Huan Sun

CoRR, 2024

Long Context Alignment with Short Instructions and Synthesized Positions.

Wenhao Wu, Yizhong Wang, Yao Fu, Xiang Yue, Dawei Zhu, Sujian Li

CoRR, 2024

MAmmoTH2: Scaling Instructions from the Web.

Xiang Yue, Tuney Zheng, Ge Zhang, Wenhu Chen

CoRR, 2024

MuPT: A Generative Symbolic Music Pretrained Transformer.

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

CoRR, 2024

VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?

Junpeng Liu, Yifan Song, Bill Yuchen Lin, Wai Lam, Graham Neubig, Yuanzhi Li, Xiang Yue

CoRR, 2024

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models.

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

CoRR, 2024

Long-context LLMs Struggle with Long In-context Learning.

Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, Wenhu Chen

CoRR, 2024

StructLM: Towards Building Generalist Models for Structured Knowledge Grounding.

Alex Zhuang, Ge Zhang, Tianyu Zheng, Xinrun Du, Junjie Wang, Weiming Ren, Stephen W. Huang, Jie Fu, Xiang Yue, Wenhu Chen

CoRR, 2024

TableLlama: Towards Open Large Generalist Models for Tables.

Tianshu Zhang, Xiang Yue, Yifei Li, Huan Sun

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

Data Engineering for Scaling Language Models to 128K Context.

Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng

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

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.

Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.

Xiang Yue, Yuansheng Ni, Tianyu Zheng, Kai Zhang, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement.

Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue

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

Machine Unlearning of Pre-trained Large Language Models.

Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

AttributionBench: How Hard is Automatic Attribution Evaluation?

Yifei Li, Xiang Yue, Zeyi Liao, Huan Sun

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

VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation.

Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Vibration suppression of collaborative robot based on modified trajectory planning.

Yong Tian, Xiang Yue, Lin Wang, Yan Feng

Ind. Robot, 2023

Can ChatGPT Defend the Truth? Automatic Dialectical Evaluation Elicits LLMs' Deficiencies in Reasoning.

Boshi Wang, Xiang Yue, Huan Sun

CoRR, 2023

Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy.

Minxin Du, Xiang Yue, Sherman S. M. Chow, Huan Sun

Proceedings of the ACM Web Conference 2023, 2023

Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System.

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

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

A Deeping-Learning-Based Foreign Object Inspection System Design for Overhead Power Transmission Lines.

Xiang Yue, Yan Feng, Kai Qi, Yang Zhang, Yifeng Song

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

Automatic Evaluation of Attribution by Large Language Models.

Xiang Yue, Boshi Wang, Ziru Chen, Kai Zhang, Yu Su, Huan Sun

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

Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate.

Boshi Wang, Xiang Yue, Huan Sun

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

DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass.

Minxin Du, Xiang Yue, Sherman S. M. Chow, Tianhao Wang, Chenyu Huang, Huan Sun

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe.

Xiang Yue, Huseyin A. Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Hoda Shajari, Huan Sun, David Levitan, Robert Sim

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

2022

Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe.

Xiang Yue, Huseyin A. Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Huan Sun, David Levitan, Robert Sim

CoRR, 2022

Bootstrapping a User-Centered Task-Oriented Dialogue System.

Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Lingbo Mo, Samuel Stevens, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun

CoRR, 2022

Improving Stability of Line Inspection Robot During Crossing Jumper Lines With a Centroid Adjustment Adjusting Mechanism.

Xiang Yue, Hongguang Wang, Yan Feng, Yong Tian, Wei Wang

IEEE Access, 2022

Automatic Obstacle-Crossing Planning for a Transmission Line Inspection Robot Based on Multisensor Fusion.

Xiang Yue, Yan Feng, Binzhang Jiang, Lin Wang, Junming Hou

IEEE Access, 2022

Synthetic Question Value Estimation for Domain Adaptation of Question Answering.

Xiang Yue, Ziyu Yao, Huan Sun

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

C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References.

Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations.

Feng Huang, Xiang Yue, Zhankun Xiong, Zhouxin Yu, Shichao Liu, Wen Zhang

Briefings Bioinform., 2021

COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval.

Xinliang Frederick Zhang, Heming Sun, Xiang Yue, Simon M. Lin, Huan Sun

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

CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering.

Xiang Yue, Xinliang Frederick Zhang, Ziyu Yao, Simon M. Lin, Huan Sun

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Differential Privacy for Text Analytics via Natural Text Sanitization.

Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval.

Xinliang Frederick Zhang, Heming Sun, Xiang Yue, Emmett Jesrani, Simon M. Lin, Huan Sun

CoRR, 2020

Practical Annotation Strategies for Question Answering Datasets.

Bernhard Kratzwald, Xiang Yue, Huan Sun, Stefan Feuerriegel

CoRR, 2020

Toward Making the Most of Context in Neural Machine Translation.

Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch

CoRR, 2020

Graph embedding on biomedical networks: methods, applications and evaluations.

Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun

Bioinform., 2020

Towards Making the Most of Context in Neural Machine Translation.

Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Clinical Phrase Mining with Language Models.

Kaushik Mani, Xiang Yue, Bernal Jimenez Gutierrez, Yungui Huang, Simon M. Lin, Huan Sun

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset.

Xiang Yue, Bernal Jimenez Gutierrez, Huan Sun

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

PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation.

Xiang Yue, Shuang Zhou

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019

Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition.

Guangsheng Wu, Juan Liu, Xiang Yue

BMC Bioinform., 2019

SurfCon: Synonym Discovery on Privacy-Aware Clinical Data.

Zhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Huan Sun

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning.

Shuang Zhou, Xiang Yue, Xinran Xu, Shichao Liu, Wen Zhang, Yanqing Niu

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions.

Wen Zhang, Xiang Yue, Guifeng Tang, Wenjian Wu, Feng Huang, Xining Zhang

PLoS Comput. Biol., 2018

Manifold regularized matrix factorization for drug-drug interaction prediction.

Wen Zhang, Yanlin Chen, Dingfang Li, Xiang Yue

J. Biomed. Informatics, 2018

Predicting drug-disease associations by using similarity constrained matrix factorization.

Wen Zhang, Xiang Yue, Weiran Lin, Wenjian Wu, Ruoqi Liu, Feng Huang, Feng Liu

BMC Bioinform., 2018

Sequence-based bacterial small RNAs prediction using ensemble learning strategies.

Guifeng Tang, Jingwen Shi, Wenjian Wu, Xiang Yue, Wen Zhang

BMC Bioinform., 2018

Prediction of Drug-Disease Associations and Their Effects by Signed Network-Based Nonnegative Matrix Factorization.

Wen Zhang, Feng Huang, Xiang Yue, Xiaoting Lu, Weitai Yang, Zhishuai Li, Feng Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

A unified frame of predicting side effects of drugs by using linear neighborhood similarity.

Wen Zhang, Xiang Yue, Feng Liu, Yanlin Chen, Shikui Tu, Xining Zhang

BMC Syst. Biol., 2017

Predicting drug-disease associations based on the known association bipartite network.

Wen Zhang, Xiang Yue, Yanlin Chen, Weiran Lin, Bolin Li, Feng Liu, Xiaohong Li

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Predicting small RNAs in bacteria via sequence learning ensemble method.

Wen Zhang, Jingwen Shi, Guifeng Tang, Wenjian Wu, Xiang Yue, Dingfang Li

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

基于语义的文档特征提取研究方法 (Semantic-based Feature Extraction Method for Document).

Fang Jiang, Guohe Li, Xiang Yue

计算机科学, 2016

2015

Research on a novel inspection robot mechanism for power transmission lines.

Xiang Yue, Hongguang Wang, Yong Jiang, Ning Xi, Jikui Xu

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015