Xiangru Tang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
7
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Improving Context Fidelity via Native Retrieval-Augmented Reasoning. | Suyuchen Wang, Jinlin Wang, Xinyu Wang, Shiqi Li, Xiangru Tang, Sirui Hong, Xiao-Wen Chang, Chenglin Wu, Bang Liu |
| 2025 | EMNLP | Self-Supervised Prompt Optimization. | Jinyu Xiang, Jiayi Zhang, Zhaoyang Yu, Xinbing Liang, Fengwei Teng, Jinhao Tu, Fashen Ren, Xiangru Tang, Sirui Hong, Chenglin Wu, Yuyu Luo |
| 2025 | EMNLP | Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards. | Jaehoon Yun, Jiwoong Sohn, Jungwoo Park, Hyunjae Kim, Xiangru Tang, Daniel Shao, Yonghoe Koo, Minhyeok Ko, Qingyu Chen, Mark Gerstein, Michael Moor, Jaewoo Kang |
| 2025 | EMNLP | OAgents: An Empirical Study of Building Effective Agents. | He Zhu, Tianrui Qin, King Zhu, Heyuan Huang, Yeyi Guan, Jinxiang Xia, Hanhao Li, Yi Yao, Ningning Wang, Pai Liu, Tianhao Peng, Xin Gui, Xiaowan Li, Yuhui Liu, Xiangru Tang, Jian Yang, Ge Zhang, Xitong Gao, Yuchen Eleanor Jiang, Changwang Zhang, Jun Wang, Jiaheng Liu, Wangchunshu Zhou |
| 2025 | ICLR | OpenHands: 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, et al. |
| 2025 | ICLR | ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning. | Xiangru Tang, Tianyu Hu, Muyang Ye, Yanjun Shao, Xunjian Yin, Siru Ouyang, Wangchunshu Zhou, Pan Lu, Zhuosheng Zhang, Yilun Zhao, Arman Cohan, Mark Gerstein |
| 2024 | ACL | DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents. | Yilun Zhao, Yitao Long, Hongjun Liu, Ryo Kamoi, Linyong Nan, Lyuhao Chen, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan |
| 2024 | ACL | Unveiling the Spectrum of Data Contamination in Language Model: A Survey from Detection to Remediation. | Chunyuan Deng, Yilun Zhao, Yuzhao Heng, Yitong Li, Jiannan Cao, Xiangru Tang, Arman Cohan |
| 2024 | ACL | MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. | Xiangru Tang, Anni Zou, Zhuosheng Zhang, Ziming Li, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein |
| 2024 | EMNLP | FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents. | Yilun Zhao, Yitao Long, Tintin Jiang, Chengye Wang, Weiyuan Chen, Hongjun Liu, Xiangru Tang, Yiming Zhang, Chen Zhao, Arman Cohan |
| 2024 | EMNLP | OpenT2T: An Open-Source Toolkit for Table-to-Text Generation. | Haowei Zhang, Shengyun Si, Yilun Zhao, Lujing Xie, Zhijian Xu, Lyuhao Chen, Linyong Nan, Pengcheng Wang, Xiangru Tang, Arman Cohan |
| 2024 | EMNLP | PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes. | He Cao, Yanjun Shao, Zhiyuan Liu, Zijing Liu, Xiangru Tang, Yuan Yao, Yu Li |
| 2024 | EMNLP | MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications. | Xiangru Tang, Chunyuan Deng, Hanming Wang, Haoran Wang, Yilun Zhao, Wenqi Shi, May Fung, Wangchunshu Zhou, Jiannan Cao, Heng Ji, Arman Cohan, Mark Gerstein |
| 2024 | ICLR | OctoPack: Instruction Tuning Code Large Language Models. | Niklas Muennighoff, Qian Liu, Armel Randy Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro von Werra, Shayne Longpre |
| 2024 | ICLR | ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. | 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 |
| 2024 | NAACL | Investigating Data Contamination in Modern Benchmarks for Large Language Models. | Chunyuan Deng, Yilun Zhao, Xiangru Tang, Mark Gerstein, Arman Cohan |
| 2024 | NAACL | Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? | Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein |
| 2023 | ACL | Crosslingual Generalization through Multitask Finetuning. | 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 |
| 2023 | ACL | RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations. | Yilun Zhao, Chen Zhao, Linyong Nan, Zhenting Qi, Wenlin Zhang, Xiangru Tang, Boyu Mi, Dragomir Radev |
| 2023 | EMNLP | QTSumm: Query-Focused Summarization over Tabular Data. | Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan |
| 2023 | EMNLP | Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios. | Yilun Zhao, Haowei Zhang, Shengyun Si, Linyong Nan, Xiangru Tang, Arman Cohan |
| 2023 | EMNLP | RWKV: Reinventing RNNs for the Transformer Era. | Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Leon Derczynski, Xingjian Du, Matteo Grella, Kranthi Kiran GV, Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Jiaju Lin, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Johan S. Wind, Stanislaw Wozniak, Zhenyuan Zhang, Qinghua Zhou, Jian Zhu, Rui-Jie Zhu |
| 2022 | ACL | PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. | Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Fvry, 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, Dragomir R. Radev, Mike Tian-Jian Jiang, Alexander M. Rush |
| 2022 | LREC | Surfer100: Generating Surveys From Web Resources, Wikipedia-style. | Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev |
| 2022 | NAACL | Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. | Xiangru Tang, Alexander R. Fabbri, Haoran Li, Ziming Mao, Griffin Adams, Borui Wang, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev |
| 2022 | NAACL | CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. | Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev |
| 2021 | NAACL | DART: Open-Domain Structured Data Record to Text Generation. | 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 |
| 2019 | KSEM | Knowledge-Aware Self-Attention Networks for Document Grounded Dialogue Generation. | Xiangru Tang, Po Hu |
| 2019 | SEKE | Improving Code Generation From Descriptive Text By Combining Deep Learning and Syntax Rules. | Xiangru Tang, Zhihao Wang, Jiyang Qi, Zengyang Li |