Xin Su

According to our database, Xin Su authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Investigating the Robustness of Retrieval-Augmented Generation at the Query Level.

Sezen Perçin, Xin Su, Syed Sha Qutub, Phillip Howard, Aleksei Kuvshinov, Leo Schwinn, Kay-Ulrich Scholl

CoRR, July, 2025

A Semantic Parsing Framework for End-to-End Time Normalization.

Xin Su, Sungduk Yu, Phillip Howard, Steven Bethard

CoRR, July, 2025

DPO Learning with LLMs-Judge Signal for Computer Use Agents.

Man Luo, David Cobbley, Xin Su, Shachar Rosenman, Vasudev Lal, Shao-Yen Tseng, Phillip Howard

CoRR, June, 2025

Transformer-Based Temporal Information Extraction and Application: A Review.

Xin Su, Phillip Howard, Steven Bethard

CoRR, April, 2025

Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning.

Neale Ratzlaff, Man Luo, Xin Su, Vasudev Lal, Phillip Howard

Proceedings of the 2025 AAAI Spring Symposium Series, 2025

2024

Structured Information Extraction and Applications in Complex Reasoning.

Xin Su

PhD thesis, 2024

Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency.

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

CoRR, 2024

SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs.

Xin Su, Man Luo, Kris W. Pan, Tien Pei Chou, Vasudev Lal, Phillip Howard

CoRR, 2024

Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning.

Xin Su, Tiep Le, Steven Bethard, Phillip Howard

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

2023

Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering.

Xin Su, Phillip Howard, Nagib Hakim, Steven Bethard

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

2022

A Comparison of Strategies for Source-Free Domain Adaptation.

Xin Su, Yiyun Zhao, Steven Bethard

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

2021

Classifying Long Clinical Documents with Pre-trained Transformers.

Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach

CoRR, 2021

The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation.

Xin Su, Yiyun Zhao, Steven Bethard

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing.

Egoitz Laparra, Xin Su, Yiyun Zhao, Özlem Uzuner, Timothy A. Miller, Steven Bethard

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

2020

Learning Hierarchical Transformer-based Representations of Clinical Notes.

Xin Su, Timothy A. Miller, Majid Afshar, Dmitriy Dligach

Proceedings of the AMIA 2020, 2020