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Xiangru Tang
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2020 – today
- 2024
- [j3]Xiangru Tang
, Howard Dai, Elizabeth Knight, Fang Wu, Yunyang Li, Tianxiao Li, Mark Gerstein
A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation. Briefings Bioinform. 25(4) (2024) - [j2]Fengji Zhang
Data preparation for Deep Learning based Code Smell Detection: A systematic literature review. J. Syst. Softw. 216: 112131 (2024) - [c25]Xiangru Tang, Anni Zou, Zhuosheng Zhang, Ziming Li, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein:
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. ACL (Findings) 2024: 599-621 - [c24]Chunyuan Deng, Yilun Zhao, Yuzhao Heng, Yitong Li, Jiannan Cao, Xiangru Tang, Arman Cohan:
Unveiling the Spectrum of Data Contamination in Language Model: A Survey from Detection to Remediation. ACL (Findings) 2024: 16078-16092 - [c23]Yilun Zhao, Yitao Long, Hongjun Liu, Ryo Kamoi, Linyong Nan, Lyuhao Chen, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan:
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents. ACL (1) 2024: 16103-16120 - [c22]He Cao, Yanjun Shao, Zhiyuan Liu, Zijing Liu, Xiangru Tang, Yuan Yao, Yu Li:
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes. EMNLP (Findings) 2024: 10197-10224 - [c21]Yilun Zhao, Yitao Long, Tintin Jiang, Chengye Wang, Weiyuan Chen, Hongjun Liu, Xiangru Tang, Yiming Zhang, Chen Zhao, Arman Cohan:
FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents. EMNLP 2024: 14739-14752 - [c20]Niklas Muennighoff, Qian Liu, Armel Randy Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro von Werra, Shayne Longpre:
OctoPack: Instruction Tuning Code Large Language Models. ICLR 2024 - [c19]Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun:
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. ICLR 2024 - [c18]Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein:
Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? NAACL (Short Papers) 2024: 12-34 - [c17]Chunyuan Deng, Yilun Zhao, Xiangru Tang, Mark Gerstein, Arman Cohan:
Investigating Data Contamination in Modern Benchmarks for Large Language Models. NAACL-HLT 2024: 8706-8719 - [i42]Tiannan Wang, Jiamin Chen, Qingrui Jia, Shuai Wang, Ruoyu Fang, Huilin Wang, Zhaowei Gao, Chunzhao Xie, Chuou Xu, Jihong Dai, Yibin Liu, Jialong Wu, Shengwei Ding, Long Li, Zhiwei Huang, Xinle Deng, Teng Yu, Gangan Ma, Han Xiao, Zixin Chen, Danjun Xiang, Yunxia Wang, Yuanyuan Zhu, Yi Xiao, Jing Wang, Yiru Wang, Siran Ding, Jiayang Huang, Jiayi Xu, Yilihamu Tayier, Zhenyu Hu, Yuan Gao, Chengfeng Zheng, Yueshu Ye, Yihang Li, Lei Wan, Xinyue Jiang, Yujie Wang, Siyu Cheng, Zhule Song, Xiangru Tang, Xiaohua Xu, Ningyu Zhang, Huajun Chen, Yuchen Eleanor Jiang, Wangchunshu Zhou:
Weaver: Foundation Models for Creative Writing. CoRR abs/2401.17268 (2024) - [i41]Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein:
Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science. CoRR abs/2402.04247 (2024) - [i40]Xiangru Tang, Howard Dai, Elizabeth Knight, Fang Wu, Yunyang Li, Tianxiao Li, Mark Gerstein:
A Survey of Generative AI for De Novo Drug Design: New Frontiers in Molecule and Protein Generation. CoRR abs/2402.08703 (2024) - [i39]Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Wenyi Wang, Xiangru Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Zongze Xu, Chenglin Wu:
Data Interpreter: An LLM Agent For Data Science. CoRR abs/2402.18679 (2024) - [i38]Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu
StarCoder 2 and The Stack v2: The Next Generation. CoRR abs/2402.19173 (2024) - [i37]Chunyuan Deng, Xiangru Tang, Yilun Zhao, Hanming Wang, Haoran Wang, Wangchunshu Zhou, Arman Cohan, Mark Gerstein:
MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertise. CoRR abs/2404.04285 (2024) - [i36]Stella Biderman, Hailey Schoelkopf, Lintang Sutawika, Leo Gao, Jonathan Tow, Baber Abbasi, Alham Fikri Aji, Pawan Sasanka Ammanamanchi, Sidney Black, Jordan Clive, Anthony DiPofi, Julen Etxaniz, Benjamin Fattori, Jessica Zosa Forde, Charles Foster, Jeffrey Hsu, Mimansa Jaiswal, Wilson Y. Lee, Haonan Li, Charles Lovering, Niklas Muennighoff, Ellie Pavlick, Jason Phang, Aviya Skowron, Samson Tan, Xiangru Tang, Kevin A. Wang, Genta Indra Winata, François Yvon, Andy Zou:
Lessons from the Trenches on Reproducible Evaluation of Language Models. CoRR abs/2405.14782 (2024) - [i35]He Cao, Yanjun Shao, Zhiyuan Liu, Zijing Liu, Xiangru Tang, Yuan Yao, Yu Li:
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes. CoRR abs/2406.13193 (2024) - [i34]Xiangru Tang, Xingyao Zhang, Yanjun Shao, Jie Wu, Yilun Zhao, Arman Cohan, Ming Gong, Dongmei Zhang, Mark Gerstein:
Step-Back Profiling: Distilling User History for Personalized Scientific Writing. CoRR abs/2406.14275 (2024) - [i33]Chunyuan Deng, Yilun Zhao, Yuzhao Heng, Yitong Li, Jiannan Cao, Xiangru Tang, Arman Cohan:
Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation. CoRR abs/2406.14644 (2024) - [i32]Fengji Zhang, Zexian Zhang, Jacky Wai Keung, Xiangru Tang, Zhen Yang, Xiao Yu, Wenhua Hu:
Data Preparation for Deep Learning based Code Smell Detection: A Systematic Literature Review. CoRR abs/2406.19240 (2024) - [i31]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:
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents. CoRR abs/2407.16741 (2024) - 2023
- [c16]Yilun Zhao, Chen Zhao, Linyong Nan, Zhenting Qi, Wenlin Zhang, Xiangru Tang, Boyu Mi, Dragomir Radev:
RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations. ACL (1) 2023: 6064-6081 - [c15]Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M. Saiful Bari
Crosslingual Generalization through Multitask Finetuning. ACL (1) 2023: 15991-16111 - [c14]Xiangru Tang, Arman Cohan, Mark Gerstein:
Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning. ClinicalNLP@ACL 2023: 48-58 - [c13]Xiangru Tang, Andrew Tran, Jeffrey Tan, Mark Gerstein:
GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning. ClinicalNLP@ACL 2023: 546-554 - [c12]Yilun Zhao, Haowei Zhang, Shengyun Si, Linyong Nan, Xiangru Tang, Arman Cohan:
Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios. EMNLP (Industry Track) 2023: 160-175 - [c11]Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan:
QTSumm: Query-Focused Summarization over Tabular Data. EMNLP 2023: 1157-1172 - [c10]Bo Peng, Eric Alcaide, Quentin Anthony
RWKV: Reinventing RNNs for the Transformer Era. EMNLP (Findings) 2023: 14048-14077 - [i30]Xiangru Tang, Andrew Tran, Jeffrey Tan, Mark Gerstein:
GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning. CoRR abs/2305.05001 (2023) - [i29]Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Huanqi Cao, Xin Cheng, Michael Chung, Matteo Grella, Kranthi Kiran G. V., Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon
RWKV: Reinventing RNNs for the Transformer Era. CoRR abs/2305.13048 (2023) - [i28]Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Xiangru Tang, Yumo Xu, Arman Cohan
QTSumm: A New Benchmark for Query-Focused Table Summarization. CoRR abs/2305.14303 (2023) - [i27]Yilun Zhao, Haowei Zhang, Shengyun Si, Linyong Nan, Xiangru Tang, Arman Cohan
Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers. CoRR abs/2305.14987 (2023) - [i26]Yilun Zhao, Chen Zhao, Linyong Nan, Zhenting Qi, Wenlin Zhang, Xiangru Tang, Boyu Mi, Dragomir Radev:
RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations. CoRR abs/2306.14321 (2023) - [i25]Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun:
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. CoRR abs/2307.16789 (2023) - [i24]Niklas Muennighoff, Qian Liu, Armel Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro von Werra, Shayne Longpre:
OctoPack: Instruction Tuning Code Large Language Models. CoRR abs/2308.07124 (2023) - [i23]Xiangru Tang, Bill Qian, Rick Gao, Jiakang Chen, Xinyun Chen, Mark Gerstein:
BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual Pragmatic Knowledge. CoRR abs/2308.16458 (2023) - [i22]Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data? CoRR abs/2309.08963 (2023) - [i21]Anni Zou, Zhuosheng Zhang, Hai Zhao, Xiangru Tang:
Meta-CoT: Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models. CoRR abs/2310.06692 (2023) - [i20]Cunxiang Wang, Xiaoze Liu
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR abs/2310.07521 (2023) - [i19]Chunyuan Deng, Yilun Zhao, Xiangru Tang, Mark Gerstein, Arman Cohan:
Investigating Data Contamination in Modern Benchmarks for Large Language Models. CoRR abs/2311.09783 (2023) - [i18]Yilun Zhao, Yitao Long, Hongjun Liu, Linyong Nan, Lyuhao Chen, Ryo Kamoi
DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data. CoRR abs/2311.09805 (2023) - [i17]Yuliang Liu, Xiangru Tang, Zefan Cai, Junjie Lu, Yichi Zhang, Yanjun Shao, Zexuan Deng, Helan Hu, Zengxian Yang, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, Mark Gerstein:
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. CoRR abs/2311.09835 (2023) - [i16]Xiangru Tang, Anni Zou, Zhuosheng Zhang, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein:
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. CoRR abs/2311.10537 (2023) - [i15]Zhuosheng Zhang, Yao Yao, Aston Zhang, Xiangru Tang, Xinbei Ma, Zhiwei He, Yiming Wang, Mark Gerstein, Rui Wang, Gongshen Liu, Hai Zhao:
Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents. CoRR abs/2311.11797 (2023) - 2022
- [j1]Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Hailey Schoelkopf, Riley Kong, Xiangru Tang, Mutethia Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev:
FeTaQA: Free-form Table Question Answering. Trans. Assoc. Comput. Linguistics 10: 35-49 (2022) - [c9]Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. ACL (demo) 2022: 93-104 - [c8]Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev:
Surfer100: Generating Surveys From Web Resources, Wikipedia-style. LREC 2022: 5388-5392 - [c7]Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. NAACL-HLT 2022: 5657-5668 - [c6]Xiangru Tang, Alexander R. Fabbri, Haoran Li, Ziming Mao, Griffin Adams, Borui Wang, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. NAACL-HLT 2022: 5680-5692 - [i14]Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Mike Tian-Jian Jiang, Alexander M. Rush:
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. CoRR abs/2202.01279 (2022) - [i13]Irene Li, Keen You, Xiangru Tang, Yujie Qiao, Lucas Huang, Chiachun Hsieh, Benjamin Rosand, Dragomir R. Radev:
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts. CoRR abs/2204.06604 (2022) - [i12]Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M. Saiful Bari, Sheng Shen, Zheng Xin Yong, Hailey Schoelkopf, Xiangru Tang, Dragomir Radev, Alham Fikri Aji, Khalid Almubarak, Samuel Albanie, Zaid Alyafeai, Albert Webson, Edward Raff, Colin Raffel:
Crosslingual Generalization through Multitask Finetuning. CoRR abs/2211.01786 (2022) - 2021
- [c5]Linyong Nan, Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
DART: Open-Domain Structured Data Record to Text Generation. NAACL-HLT 2021: 432-447 - [i11]Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev:
FeTaQA: Free-form Table Question Answering. CoRR abs/2104.00369 (2021) - [i10]Xiangru Tang, Alexander R. Fabbri, Ziming Mao, Griffin Adams, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev:
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. CoRR abs/2109.09195 (2021) - [i9]Shentong Mo, Xi Fu, Chenyang Hong, Yizhen Chen, Yuxuan Zheng, Xiangru Tang, Zhiqiang Shen, Eric P. Xing, Yanyan Lan:
Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types. CoRR abs/2110.05231 (2021) - [i8]Alexander Whatley, Zhekun Luo, Xiangru Tang:
Improving RNA Secondary Structure Design using Deep Reinforcement Learning. CoRR abs/2111.04504 (2021) - [i7]Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir R. Radev:
Surfer100: Generating Surveys From Web Resources on Wikipedia-style. CoRR abs/2112.06377 (2021) - [i6]Swapnil Hingmire, Irene Li, Rena Kawamura, Benjamin Chen, Alexander R. Fabbri, Xiangru Tang, Yixin Liu, Thomas George, Tammy Liao, Wai Pan Wong, Vanessa Yan, Richard Zhou, Girish K. Palshikar, Dragomir R. Radev:
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. CoRR abs/2112.08578 (2021) - [i5]Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. CoRR abs/2112.08713 (2021) - 2020
- [c4]Xiangru Tang, Xianjun Shen, Yujie Wang, Yujuan Yang:
Categorizing Offensive Language in Social Networks: A Chinese Corpus, Systems and an Explanation Tool. CNCL 2020: 300-315 - [c3]Hongru Wang, Xiangru Tang, Sunny Lai, Kwong-Sak Leung, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong:
CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning. SemEval@COLING 2020: 391-400 - [i4]Hongru Wang, Xiangru Tang, Sunny Lai, Kwong-Sak Leung:
CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning. CoRR abs/2006.09161 (2020) - [i3]Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Nazneen Fatema Rajani, Xiangru Tang, Aadit Vyas, Neha Verma
DART: Open-Domain Structured Data Record to Text Generation. CoRR abs/2007.02871 (2020) - [i2]Xiangru Tang, Haoyuan Wang, Xiang Pan, Jiyang Qi:
Multi-Granularity Modularized Network for Abstract Visual Reasoning. CoRR abs/2007.04670 (2020) - [i1]Xiangru Tang, Alan Aw:
FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching. CoRR abs/2010.05523 (2020)
2010 – 2019
- 2019
- [c2]Xiangru Tang, Po Hu:
Knowledge-Aware Self-Attention Networks for Document Grounded Dialogue Generation. KSEM (2) 2019: 400-411 - [c1]Xiangru Tang, Zhihao Wang, Jiyang Qi, Zengyang Li:
Improving Code Generation From Descriptive Text By Combining Deep Learning and Syntax Rules. SEKE 2019: 385-496
Coauthor Index
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