Xin Su

21 papers A* 2Misc 1Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cultural Counterfactuals: Evaluating Cultural Biases in Large Vision-Language Models with Counterfactual Examples.
CoRR
Phillip Howard, Xin Su, Kathleen C. Fraser
2025 J jnl
A Semantic Parsing Framework for End-to-End Time Normalization.
CoRR
Xin Su, Sungduk Yu, Phillip Howard, Steven Bethard
2025 J jnl
DPO Learning with LLMs-Judge Signal for Computer Use Agents.
CoRR
Man Luo, David Cobbley, Xin Su, Shachar Rosenman, Vasudev Lal, Shao-Yen Tseng, Phillip Howard
2025 J jnl
Investigating the Robustness of Retrieval-Augmented Generation at the Query Level.
CoRR
Sezen Perçin, Xin Su, Syed Sha Qutub, Phillip Howard, Aleksei Kuvshinov, Leo Schwinn, Kay-Ulrich Scholl
2025 A* conf
SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs.
ICML
Xin Su, Man Luo, Kris W. Pan, Tien Pei Chou, Vasudev Lal, Phillip Howard
2025 — conf
Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning.
AAAI Spring Symposia
Neale Ratzlaff, Man Luo, Xin Su, Vasudev Lal, Phillip Howard
2025 A* conf
Transformer-Based Temporal Information Extraction and Application: A Review.
EMNLP
Xin Su, Phillip Howard, Steven Bethard
2025 J jnl
Transformer-Based Temporal Information Extraction and Application: A Review.
CoRR
Xin Su, Phillip Howard, Steven Bethard
2024 J jnl
Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency.
CoRR
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
2024 J jnl
SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs.
CoRR
Xin Su, Man Luo, Kris W. Pan, Tien Pei Chou, Vasudev Lal, Phillip Howard
2024 — conf
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning.
NAACL-HLT
Xin Su, Tiep Le, Steven Bethard, Phillip Howard
2024 — —
Structured Information Extraction and Applications in Complex Reasoning.
Xin Su
2024 J jnl
Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning.
CoRR
Neale Ratzlaff, Man Luo, Xin Su, Vasudev Lal, Phillip Howard
2023 — conf
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering.
EMNLP (Findings)
Xin Su, Phillip Howard, Nagib Hakim, Steven Bethard
2023 J jnl
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering.
CoRR
Xin Su, Phillip Howard, Nagib Hakim, Steven Bethard
2023 J jnl
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning.
CoRR
Xin Su, Tiep Le, Steven Bethard, Phillip Howard
2022 — conf
A Comparison of Strategies for Source-Free Domain Adaptation.
ACL (1)
Xin Su, Yiyun Zhao, Steven Bethard
2021 J jnl
Classifying Long Clinical Documents with Pre-trained Transformers.
CoRR
Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach
2021 — conf
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing.
SemEval@ACL/IJCNLP
Egoitz Laparra, Xin Su, Yiyun Zhao, Özlem Uzuner, Timothy A. Miller, Steven Bethard
2021 — conf
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
Xin Su, Yiyun Zhao, Steven Bethard
2020 Misc conf
Learning Hierarchical Transformer-based Representations of Clinical Notes.
AMIA
Xin Su, Timothy A. Miller, Majid Afshar, Dmitriy Dligach