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ORCIDXin Su 0008
Person information
- affiliation: University of Arizona, School of Information, Tucson, AZ, USA
Other persons with the same name
- Xin Su — disambiguation page
- Xin Su 0001 — Tsinghua University, TNList / RIIT, Beijing, China
- Xin Su 0002
![[0000-0002-7020-9905]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7020-9905")
— Hohai University, College of IOT Engineering, Changzhou Key Laboratory of Robotics and Intelligent Technology, China (and 2 more) - Xin Su 0003 — Wuhan University, School of Remote Sensing and Information Engineering, China (and 2 more)
- Xin Su 0004 — Hunan Police Academy, Key Laboratory of Network Investigational Technology / Key Laboratory of Network Crime Investigation, Changsha, China (and 1 more)
- Xin Su 0005 — Shandong University of Finance and Economics, Jinan, China
- Xin Su 0006 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Xin Su 0007 — China Academy of Telecommunication Technology (CATT), Beijing, China (and 2 more)
- Xin Su 0009 — Fuzhou University, China
- Xin Su 0010 — China Mobile Research Institute, Future Research Institute, China
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2020 – today
- 2025
[c7]Neale Ratzlaff, Man Luo, Xin Su, Vasudev Lal, Phillip Howard:
Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning. AAAI Spring Symposia 2025: 384-388- [i10]Xin Su, Phillip Howard, Steven Bethard:
Transformer-Based Temporal Information Extraction and Application: A Review. CoRR abs/2504.07470 (2025) - [i9]Man Luo, David Cobbley, Xin Su, Shachar Rosenman, Vasudev Lal, Shao-Yen Tseng, Phillip Howard:
DPO Learning with LLMs-Judge Signal for Computer Use Agents. CoRR abs/2506.03095 (2025) - [i8]Xin Su, Sungduk Yu, Phillip Howard, Steven Bethard:
A Semantic Parsing Framework for End-to-End Time Normalization. CoRR abs/2507.06450 (2025) - [i7]Sezen Perçin, Xin Su, Syed Sha Qutub, Phillip Howard, Aleksei Kuvshinov, Leo Schwinn, Kay-Ulrich Scholl:
Investigating the Robustness of Retrieval-Augmented Generation at the Query Level. CoRR abs/2507.06956 (2025) - 2024
- [b1]Xin Su:
Structured Information Extraction and Applications in Complex Reasoning. University of Arizona, Tucson, USA, 2024 - [c6]Xin Su, Tiep Le, Steven Bethard, Phillip Howard:
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning. NAACL-HLT 2024: 8597-8613 - [i6]Xin Su, Man Luo, Kris W. Pan, Tien Pei Chou, Vasudev Lal, Phillip Howard:
SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs. CoRR abs/2406.19593 (2024) - [i5]Prafulla Kumar Choubey, Xin Su, Man Luo, Xiangyu Peng, Caiming Xiong, Tiep Le, Shachar Rosenman, Vasudev Lal, Phil Mui, Ricky Ho Yin Chan, Phillip Howard, Chien-Sheng Wu:
Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency. CoRR abs/2410.16597 (2024) - [i4]Neale Ratzlaff, Man Luo, Xin Su, Vasudev Lal, Phillip Howard:
Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning. CoRR abs/2412.03467 (2024) - 2023
- [c5]Xin Su, Phillip Howard, Nagib Hakim, Steven Bethard:
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering. EMNLP (Findings) 2023: 948-966 - [i3]Xin Su, Phillip Howard, Nagib Hakim, Steven Bethard:
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering. CoRR abs/2310.19292 (2023) - [i2]Xin Su, Tiep Le, Steven Bethard, Phillip Howard:
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning. CoRR abs/2311.08505 (2023) - 2022
- [c4]Xin Su, Yiyun Zhao, Steven Bethard:
A Comparison of Strategies for Source-Free Domain Adaptation. ACL (1) 2022: 8352-8367 - 2021
- [c3]Egoitz Laparra, Xin Su, Yiyun Zhao, Özlem Uzuner, Timothy A. Miller, Steven Bethard:
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing. SemEval@ACL/IJCNLP 2021: 348-356 - [c2]Xin Su, Yiyun Zhao, Steven Bethard:
The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation. SemEval@ACL/IJCNLP 2021: 458-466 - [i1]Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach:
Classifying Long Clinical Documents with Pre-trained Transformers. CoRR abs/2105.06752 (2021) - 2020
- [c1]Xin Su, Timothy A. Miller, Majid Afshar, Dmitriy Dligach:
Learning Hierarchical Transformer-based Representations of Clinical Notes. AMIA 2020
Coauthor Index
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