Xinya Du

According to our database, Xinya Du authored at least 43 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations.

Ruosen Li, Teerth Patel, Xinya Du

Trans. Mach. Learn. Res., 2024

Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning.

Ruosen Li, Ziming Luo, Xinya Du

CoRR, 2024

Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering.

Zimu Wang, Lei Xia, Wei Wang, Xinya Du

CoRR, 2024

FIHA: Autonomous Hallucination Evaluation in Vision-Language Models with Davidson Scene Graphs.

Bowen Yan, Zhengsong Zhang, Liqiang Jing, Eftekhar Hossain, Xinya Du

CoRR, 2024

DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?

Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu

CoRR, 2024

MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents.

Ruochen Li, Teerth Patel, Qingyun Wang, Xinya Du

CoRR, 2024

IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering.

Ruosen Li, Barry Wang, Ruochen Li, Xinya Du

CoRR, 2024

VIA: A Spatiotemporal Video Adaptation Framework for Global and Local Video Editing.

Jing Gu, Yuwei Fang, Ivan Skorokhodov, Peter Wonka, Xinya Du, Sergey Tulyakov, Xin Eric Wang

CoRR, 2024

FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback.

Liqiang Jing, Xinya Du

CoRR, 2024

Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering.

Zimu Wang, Lei Xia, Wei Xjtlu, Xinya Du

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models.

Liqiang Jing, Ruosen Li, Yunmo Chen, Xinya Du

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Language Models as Inductive Reasoners.

Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

QAEVENT: Event Extraction as Question-Answer Pairs Generation.

Milind Choudhary, Xinya Du

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery.

Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Making Natural Language Reasoning Explainable and Faithful.

Xinya Du

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models.

Liqiang Jing, Ruosen Li, Yunmo Chen, Mengzhao Jia, Xinya Du

CoRR, 2023

AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions.

Son Quoc Tran, Gia-Huy Do, Phong Nguyen-Thuan Do, Matt Kretchmar, Xinya Du

CoRR, 2023

Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning.

Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang

CoRR, 2023

Logical Reasoning over Natural Language as Knowledge Representation: A Survey.

Zonglin Yang, Xinya Du, Rui Mao, Jinjie Ni, Erik Cambria

CoRR, 2023

Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning.

Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Probing Representations for Document-level Event Extraction.

Barry Wang, Xinya Du, Claire Cardie

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

POE: Process of Elimination for Multiple Choice Reasoning.

Chenkai Ma, Xinya Du

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning.

Ruosen Li, Xinya Du

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

End-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion.

Zonglin Yang, Xinya Du, Erik Cambria, Claire Cardie

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Zero-Shot Classification by Logical Reasoning on Natural Language Explanations.

Chi Han, Hengzhi Pei, Xinya Du, Heng Ji

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

2022

Retrieval-Augmented Generative Question Answering for Event Argument Extraction.

Xinya Du, Heng Ji

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Dynamic Global Memory for Document-level Argument Extraction.

Xinya Du, Sha Li, Heng Ji

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

Automatic Error Analysis for Document-level Information Extraction.

Aliva Das, Xinya Du, Barry Wang, Kejian Shi, Jiayuan Gu, Thomas Porter, Claire Cardie

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

2021

Towards More Intelligent Extraction of Information from Documents.

Xinya Du

PhD thesis, 2021

Few-shot Intent Classification and Slot Filling with Retrieved Examples.

Dian Yu, Luheng He, Yuan Zhang, Xinya Du, Panupong Pasupat, Qi Li

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Template Filling with Generative Transformers.

Xinya Du, Alexander M. Rush, Claire Cardie

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction.

Xinya Du, Alexander M. Rush, Claire Cardie

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining.

Xinya Du, Luheng He, Qi Li, Dian Yu, Panupong Pasupat, Yuan Zhang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Document-level Event-based Extraction Using Generative Template-filling Transformers.

Xinya Du, Alexander M. Rush, Claire Cardie

CoRR, 2020

Leveraging Structured Metadata for Improving Question Answering on the Web.

Xinya Du, Ahmed Hassan Awadallah, Adam Fourney, Robert Sim, Paul N. Bennett, Claire Cardie

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Improving Event Duration Prediction via Time-aware Pre-training.

Zonglin Yang, Xinya Du, Alexander M. Rush, Claire Cardie

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Event Extraction by Answering (Almost) Natural Questions.

Xinya Du, Claire Cardie

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding.

Xinya Du, Claire Cardie

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Be Consistent! Improving Procedural Text Comprehension using Label Consistency.

Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Harvesting Paragraph-level Question-Answer Pairs from Wikipedia.

Xinya Du, Claire Cardie

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Identifying Where to Focus in Reading Comprehension for Neural Question Generation.

Xinya Du, Claire Cardie

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Learning to Ask: Neural Question Generation for Reading Comprehension.

Xinya Du, Junru Shao, Claire Cardie

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Cornell Belief and Sentiment System at TAC 2016.

Vlad Niculae, Kai Sun, Xilun Chen, Yao Cheng, Xinya Du, Esin Durmus, Arzoo Katiyar, Claire Cardie

Proceedings of the 2016 Text Analysis Conference, 2016