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2020 – today
- 2024
[c30]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: 7584-7600- [c29]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: 8403-8419 - [c28]Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen:
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation. ACL (1) 2024: 12268-12290 - [c27]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: 12834-12859 - [c26]Yifei Li, Xiang Yue, Zeyi Liao, Huan Sun:
AttributionBench: How Hard is Automatic Attribution Evaluation? ACL (Findings) 2024: 14919-14935 - [c25]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 - [c24]Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng:
Data Engineering for Scaling Language Models to 128K Context. ICML 2024 - [c23]Tianshu Zhang, Xiang Yue, Yifei Li, Huan Sun:
TableLlama: Towards Open Large Generalist Models for Tables. NAACL-HLT 2024: 6024-6044 - [i37]Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng:
Data Engineering for Scaling Language Models to 128K Context. CoRR abs/2402.10171 (2024) - [i36]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 abs/2402.14658 (2024) - [i35]Yifei Li, Xiang Yue, Zeyi Liao, Huan Sun:
AttributionBench: How Hard is Automatic Attribution Evaluation? CoRR abs/2402.15089 (2024) - [i34]Jin Yao, Eli Chien, Minxin Du
, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue:
Machine Unlearning of Pre-trained Large Language Models. CoRR abs/2402.15159 (2024) - [i33]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 abs/2402.16671 (2024) - [i32]Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, Bill Yuchen Lin:
Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents. CoRR abs/2403.02502 (2024) - [i31]Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, Wenhu Chen:
Long-context LLMs Struggle with Long In-context Learning. CoRR abs/2404.02060 (2024) - [i30]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 abs/2404.03543 (2024) - [i29]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 abs/2404.05955 (2024) - [i28]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 abs/2404.06393 (2024) - [i27]Xiang Yue, Tuney Zheng, Ge Zhang, Wenhu Chen:
MAmmoTH2: Scaling Instructions from the Web. CoRR abs/2405.03548 (2024) - [i26]Wenhao Wu, Yizhong Wang, Yao Fu, Xiang Yue, Dawei Zhu, Sujian Li:
Long Context Alignment with Short Instructions and Synthesized Positions. CoRR abs/2405.03939 (2024) - [i25]Boshi Wang, Xiang Yue, Yu Su, Huan Sun:
Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization. CoRR abs/2405.15071 (2024) - [i24]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 abs/2405.20421 (2024) - [i23]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 abs/2406.01574 (2024) - [i22]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 abs/2406.06565 (2024) - 2023
- [j12]Yong Tian, Xiang Yue, Lin Wang, Yan Feng:
Vibration suppression of collaborative robot based on modified trajectory planning. Ind. Robot 50(1): 45-55 (2023) - [c22]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: 1321-1342 - [c21]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: 2665-2679 - [c20]Xiang Yue, Boshi Wang, Ziru Chen, Kai Zhang, Yu Su, Huan Sun:
Automatic Evaluation of Attribution by Large Language Models. EMNLP (Findings) 2023: 4615-4635 - [c19]Boshi Wang, Xiang Yue, Huan Sun:
Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate. EMNLP (Findings) 2023: 11865-11881 - [c18]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: 739-744 - [c17]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: 197-201 - [c16]Minxin Du, Xiang Yue, Sherman S. M. Chow, Huan Sun:
Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy. WWW 2023: 2349-2359 - [i21]Xiang Yue, Boshi Wang, Kai Zhang, Ziru Chen, Yu Su, Huan Sun:
Automatic Evaluation of Attribution by Large Language Models. CoRR abs/2305.06311 (2023) - [i20]Boshi Wang, Xiang Yue, Huan Sun:
Can ChatGPT Defend the Truth? Automatic Dialectical Evaluation Elicits LLMs' Deficiencies in Reasoning. CoRR abs/2305.13160 (2023) - [i19]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 abs/2307.16081 (2023) - [i18]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 abs/2309.05653 (2023) - [i17]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 abs/2309.06746 (2023) - [i16]Tianshu Zhang, Xiang Yue, Yifei Li, Huan Sun:
TableLlama: Towards Open Large Generalist Models for Tables. CoRR abs/2311.09206 (2023) - [i15]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 abs/2311.16502 (2023) - [i14]Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen:
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation. CoRR abs/2312.14867 (2023) - 2022
- [j11]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: 63971-63983 (2022) - [j10]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: 134571-134579 (2022) - [c15]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: 371-377 - [c14]Xiang Yue, Ziyu Yao, Huan Sun:
Synthetic Question Value Estimation for Domain Adaptation of Question Answering. ACL (1) 2022: 1340-1351 - [i13]Xiang Yue, Ziyu Yao, Huan Sun:
Synthetic Question Value Estimation for Domain Adaptation of Question Answering. CoRR abs/2203.08926 (2022) - [i12]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 abs/2203.08928 (2022) - [i11]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 abs/2207.05223 (2022) - [i10]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 abs/2210.14348 (2022) - 2021
- [j9]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) - [c13]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: 3853-3866 - [c12]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: 580-587 - [c11]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: 3759-3769 - [i9]Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow:
Differential Privacy for Text Analytics via Natural Text Sanitization. CoRR abs/2106.01221 (2021) - 2020
- [j8]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): 1241-1251 (2020) - [c10]Xiang Yue, Bernal Jimenez Gutierrez, Huan Sun:
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset. ACL 2020: 4474-4486 - [c9]Xiang Yue, Shuang Zhou:
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation. ClinicalNLP@EMNLP 2020: 209-214 - [c8]Kaushik Mani, Xiang Yue, Bernal Jimenez Gutierrez, Yungui Huang, Simon M. Lin, Huan Sun:
Clinical Phrase Mining with Language Models. BIBM 2020: 1087-1090 - [c7]Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch:
Towards Making the Most of Context in Neural Machine Translation. IJCAI 2020: 3983-3989 - [i8]Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch:
Toward Making the Most of Context in Neural Machine Translation. CoRR abs/2002.07982 (2020) - [i7]Bernhard Kratzwald, Xiang Yue, Huan Sun, Stefan Feuerriegel:
Practical Annotation Strategies for Question Answering Datasets. CoRR abs/2003.03235 (2020) - [i6]Xiang Yue, Bernal Jimenez Gutierrez, Huan Sun:
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset. CoRR abs/2005.00574 (2020) - [i5]Xiang Yue, Shuang Zhou:
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation. CoRR abs/2010.05143 (2020) - [i4]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 abs/2010.12800 (2020) - [i3]Xiang Yue, Xinliang Frederick Zhang, Ziyu Yao, Simon M. Lin, Huan Sun:
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering. CoRR abs/2010.16021 (2020)
2010 – 2019
- 2019
- [j7]Guangsheng Wu, Juan Liu, Xiang Yue:
Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition. BMC Bioinform. 20(1): 134:1-134:13 (2019) - [c6]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: 622-627 - [c5]Zhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Huan Sun:
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data. KDD 2019: 1578-1586 - [i2]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 abs/1906.05017 (2019) - [i1]Zhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Huan Sun:
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data. CoRR abs/1906.09285 (2019) - 2018
- [j6]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): 233:1-233:12 (2018) - [j5]Guifeng Tang, Jingwen Shi, Wenjian Wu, Xiang Yue, Wen Zhang:
Sequence-based bacterial small RNAs prediction using ensemble learning strategies. BMC Bioinform. 19-S(20): 13-23 (2018) - [j4]Wen Zhang, Yanlin Chen, Dingfang Li, Xiang Yue:
Manifold regularized matrix factorization for drug-drug interaction prediction. J. Biomed. Informatics 88: 90-97 (2018) - [j3]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) - [c4]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: 798-802 - 2017
- [j2]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): 23-34 (2017) - [c3]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: 503-509 - [c2]Wen Zhang, Jingwen Shi, Guifeng Tang, Wenjian Wu, Xiang Yue, Dingfang Li:
Predicting small RNAs in bacteria via sequence learning ensemble method. BIBM 2017: 643-647 - 2016
- [j1]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): 254-258 (2016) - 2015
- [c1]Xiang Yue, Hongguang Wang, Yong Jiang, Ning Xi, Jikui Xu:
Research on a novel inspection robot mechanism for power transmission lines. ROBIO 2015: 2211-2216
Coauthor Index
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