Xinya Du

93 papers A* 13A 3B 1Journal 53Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Skill-augmented Agentic Framework and Benchmark for Multi-Video Understanding.
CoRR
Yue Zhang, Liqiang Jing, Jia Li, Yapeng Tian, Xinya Du, Yunhui Guo, Vibhav Gogate
2026 J jnl
Is Grokking Worthwhile? Functional Analysis and Transferability of Generalization Circuits in Transformers.
CoRR
Kaiyu He, Mian Zhang, Peilin Wu, Xinya Du, Zhiyu Chen
2025 J jnl
A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models.
CoRR
Liqiang Jing, Guiming Hardy Chen, Ehsan Aghazadeh, Xin Eric Wang, Xinya Du
2025 J jnl
AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control.
CoRR
Ruosen Li, Ziming Luo, Quan Zhang, Ruochen Li, Ben Zhou, Ali Payani, Xinya Du
2025 J jnl
CLUE: Non-parametric Verification from Experience via Hidden-State Clustering.
CoRR
Zhenwen Liang, Ruosen Li, Yujun Zhou, Linfeng Song, Dian Yu, Xinya Du, Haitao Mi, Dong Yu
2025 A* conf
DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?
ICLR
Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu
2025 J jnl
Do Retrieval-Augmented Language Models Adapt to Varying User Needs?
CoRR
Peilin Wu, Xinlu Zhang, Wenhao Yu, Xingyu Liu, Xinya Du, Zhiyu Zoey Chen
2025 J jnl
Dr.V: A Hierarchical Perception-Temporal-Cognition Framework to Diagnose Video Hallucination by Fine-grained Spatial-Temporal Grounding.
CoRR
Meng Luo, Shengqiong Wu, Liqiang Jing, Tianjie Ju, Li Zheng, Jinxiang Lai, Tianlong Wu, Xinya Du, Jian Li, Siyuan Yan, Jiebo Luo, William Yang Wang, Hao Fei, Mong-Li Lee, Wynne Hsu
2025 J jnl
Event Extraction in Large Language Model.
CoRR
Bobo Li, Xudong Han, Jiang Liu, Yuzhe Ding, Liqiang Jing, Zhaoqi Zhang, Jinheng Li, Xinya Du, Fei Li, Meishan Zhang, Min Zhang, Aixin Sun, Philip S. Yu, Hao Fei
2025 — conf
FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning.
EMNLP (Findings)
Ruosen Li, Ziming Luo, Xinya Du
2025 J jnl
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback.
Trans. Mach. Learn. Res.
Liqiang Jing, Xinya Du
2025 J jnl
FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text Generation.
CoRR
Liqiang Jing, Viet Lai, Seunghyun Yoon, Trung Bui, Xinya Du
2025 — conf
FIHA: Automated Fine-grained Hallucinations Evaluations in Large Vision Language Models with Davidson Scene Graphs.
ACL (Findings)
Bowen Yan, Zhengsong Zhang, Liqiang Jing, Eftekhar Hossain, Xinya Du
2025 J jnl
GEAR: A General Evaluation Framework for Abductive Reasoning.
CoRR
Kaiyu He, Peilin Wu, Mian Zhang, Kun Wan, Wentian Zhao, Xinya Du, Zhiyu Chen
2025 J jnl
HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation.
CoRR
Peilin Wu, Mian Zhang, Kun Wan, Wentian Zhao, Kaiyu He, Xinya Du, Zhiyu Chen
2025 J jnl
LLM4SR: A Survey on Large Language Models for Scientific Research.
CoRR
Ziming Luo, Zonglin Yang, Zexin Xu, Wei Yang, Xinya Du
2025 A* conf
LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research.
EMNLP
Shuo Yan, Ruochen Li, Ziming Luo, Zimu Wang, Daoyang Li, Liqiang Jing, Kaiyu He, Peilin Wu, Juntong Ni, George Michalopoulos, Yue Zhang, Ziyang Zhang, Mian Zhang, Zhiyu Chen, Xinya Du
2025 J jnl
LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research.
CoRR
Shuo Yan, Ruochen Li, Ziming Luo, Zimu Wang, Daoyang Li, Liqiang Jing, Kaiyu He, Peilin Wu, George Michalopoulos, Yue Zhang, Ziyang Zhang, Mian Zhang, Zhiyu Chen, Xinya Du
2025 J jnl
Multimodal Reference Visual Grounding.
CoRR
Yangxiao Lu, Ruosen Li, Liqiang Jing, Jikai Wang, Xinya Du, Yunhui Guo, Nicholas Ruozzi, Yu Xiang
2025 J jnl
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models.
CoRR
Hardy Chen, Haoqin Tu, Fali Wang, Hui Liu, Xianfeng Tang, Xinya Du, Yuyin Zhou, Cihang Xie
2025 J jnl
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models.
Trans. Mach. Learn. Res.
Hardy Chen, Haoqin Tu, Fali Wang, Hui Liu, Xianfeng Tang, Xinya Du, Yuyin Zhou, Cihang Xie
2025 A* conf
SciEvent: Benchmarking Multi-domain Scientific Event Extraction.
EMNLP
Bofu Dong, Pritesh Shah, Sumedh Sonawane, Tiyasha Banerjee, Erin Brady, Xinya Du, Ming Jiang
2025 J jnl
SciEvent: Benchmarking Multi-domain Scientific Event Extraction.
CoRR
Bofu Dong, Pritesh Shah, Sumedh Sonawane, Tiyasha Banerjee, Erin Brady, Xinya Du, Ming Jiang
2025 A* conf
Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty.
EMNLP
Peilin Wu, Mian Zhang, Xinlu Zhang, Xinya Du, Zhiyu Chen
2025 J jnl
Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty.
CoRR
Peilin Wu, Mian Zhang, Xinlu Zhang, Xinya Du, Zhiyu Zoey Chen
2025 B conf
Tutorial Proposal: Hallucinations in Large Language Models and Large Vision-Language Models.
ICMR
Liqiang Jing, Yue Zhang, Xinya Du
2025 A* conf
VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models.
ICML
Haojian Huang, Haodong Chen, Shengqiong Wu, Meng Luo, Jinlan Fu, Xinya Du, Hanwang Zhang, Hao Fei
2025 J jnl
VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models.
CoRR
Haojian Huang, Haodong Chen, Shengqiong Wu, Meng Luo, Jinlan Fu, Xinya Du, Hanwang Zhang, Hao Fei
2024 J jnl
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?
CoRR
Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu
2024 — conf
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering.
EMNLP (Findings)
Zimu Wang, Lei Xia, Wei Xjtlu, Xinya Du
2024 J jnl
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering.
CoRR
Zimu Wang, Lei Xia, Wei Wang, Xinya Du
2024 J jnl
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback.
CoRR
Liqiang Jing, Xinya Du
2024 J jnl
FIHA: Autonomous Hallucination Evaluation in Vision-Language Models with Davidson Scene Graphs.
CoRR
Bowen Yan, Zhengsong Zhang, Liqiang Jing, Eftekhar Hossain, Xinya Du
2024 — conf
FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models.
EMNLP (Findings)
Liqiang Jing, Ruosen Li, Yunmo Chen, Xinya Du
2024 J jnl
Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning.
CoRR
Ruosen Li, Ziming Luo, Xinya Du
2024 A* conf
IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering.
NeurIPS
Ruosen Li, Ruochen Li, Barry Wang, Xinya Du
2024 J jnl
IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering.
CoRR
Ruosen Li, Barry Wang, Ruochen Li, Xinya Du
2024 — conf
Language Models as Inductive Reasoners.
EACL (1)
Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
2024 — conf
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery.
ACL (Findings)
Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria
2024 J jnl
Learning to Generate Research Idea with Dynamic Control.
CoRR
Ruochen Li, Liqiang Jing, Chi Han, Jiawei Zhou, Xinya Du
2024 A* conf
MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations.
NeurIPS
Ruosen Li, Zimu Wang, Son Quoc Tran, Lei Xia, Xinya Du
2024 J jnl
MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents.
CoRR
Ruochen Li, Teerth Patel, Qingyun Wang, Xinya Du
2024 A* conf
Making Natural Language Reasoning Explainable and Faithful.
AAAI
Xinya Du
2024 J jnl
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations.
Trans. Mach. Learn. Res.
Ruosen Li, Teerth Patel, Xinya Du
2024 A conf
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning.
IROS
Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang
2024 — conf
QAEVENT: Event Extraction as Question-Answer Pairs Generation.
EACL (Findings)
Milind Choudhary, Xinya Du
2024 J jnl
VIA: A Spatiotemporal Video Adaptation Framework for Global and Local Video Editing.
CoRR
Jing Gu, Yuwei Fang, Ivan Skorokhodov, Peter Wonka, Xinya Du, Sergey Tulyakov, Xin Eric Wang
2023 J jnl
AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions.
CoRR
Son Quoc Tran, Gia-Huy Do, Phong Nguyen-Thuan Do, Matt Kretchmar, Xinya Du
2023 A conf
End-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion.
EACL
Zonglin Yang, Xinya Du, Erik Cambria, Claire Cardie
2023 J jnl
FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models.
CoRR
Liqiang Jing, Ruosen Li, Yunmo Chen, Mengzhao Jia, Xinya Du
2023 J jnl
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery.
CoRR
Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria
2023 — conf
Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning.
EMNLP (Findings)
Ruosen Li, Xinya Du
2023 J jnl
Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning.
CoRR
Ruosen Li, Xinya Du
2023 A* conf
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning.
ICLR
Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji
2023 J jnl
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning.
CoRR
Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji
2023 J jnl
Logical Reasoning over Natural Language as Knowledge Representation: A Survey.
CoRR
Zonglin Yang, Xinya Du, Rui Mao, Jinjie Ni, Erik Cambria
2023 A* conf
POE: Process of Elimination for Multiple Choice Reasoning.
EMNLP
Chenkai Ma, Xinya Du
2023 J jnl
POE: Process of Elimination for Multiple Choice Reasoning.
CoRR
Chenkai Ma, Xinya Du
2023 J jnl
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations.
CoRR
Ruosen Li, Teerth Patel, Xinya Du
2023 — conf
Probing Representations for Document-level Event Extraction.
EMNLP (Findings)
Barry Wang, Xinya Du, Claire Cardie
2023 J jnl
Probing Representations for Document-level Event Extraction.
CoRR
Barry Wang, Xinya Du, Claire Cardie
2023 J jnl
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning.
CoRR
Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang
2023 — conf
Zero-Shot Classification by Logical Reasoning on Natural Language Explanations.
ACL (Findings)
Chi Han, Hengzhi Pei, Xinya Du, Heng Ji
2022 — conf
Automatic Error Analysis for Document-level Information Extraction.
ACL (1)
Aliva Das, Xinya Du, Barry Wang, Kejian Shi, Jiayuan Gu, Thomas Porter, Claire Cardie
2022 J jnl
Automatic Error Analysis for Document-level Information Extraction.
CoRR
Aliva Das, Xinya Du, Barry Wang, Kejian Shi, Jiayuan Gu, Thomas Porter, Claire Cardie
2022 — conf
Dynamic Global Memory for Document-level Argument Extraction.
ACL (1)
Xinya Du, Sha Li, Heng Ji
2022 J jnl
Dynamic Global Memory for Document-level Argument Extraction.
CoRR
Xinya Du, Sha Li, Heng Ji
2022 J jnl
Language Models as Inductive Reasoners.
CoRR
Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
2022 A* conf
Retrieval-Augmented Generative Question Answering for Event Argument Extraction.
EMNLP
Xinya Du, Heng Ji
2022 J jnl
Retrieval-Augmented Generative Question Answering for Event Argument Extraction.
CoRR
Xinya Du, Heng Ji
2022 J jnl
Zero-Shot Classification by Logical Reasoning on Natural Language Explanations.
CoRR
Chi Han, Hengzhi Pei, Xinya Du, Heng Ji
2021 — conf
Few-shot Intent Classification and Slot Filling with Retrieved Examples.
NAACL-HLT
Dian Yu, Luheng He, Yuan Zhang, Xinya Du, Panupong Pasupat, Qi Li
2021 J jnl
Few-shot Intent Classification and Slot Filling with Retrieved Examples.
CoRR
Dian Yu, Luheng He, Yuan Zhang, Xinya Du, Panupong Pasupat, Qi Li
2021 A conf
GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction.
EACL
Xinya Du, Alexander M. Rush, Claire Cardie
2021 — conf
QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining.
ACL/IJCNLP (2)
Xinya Du, Luheng He, Qi Li, Dian Yu, Panupong Pasupat, Yuan Zhang
2021 — conf
Template Filling with Generative Transformers.
NAACL-HLT
Xinya Du, Alexander M. Rush, Claire Cardie
2021 — —
Towards More Intelligent Extraction of Information from Documents.
Xinya Du
2020 A* conf
Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding.
ACL
Xinya Du, Claire Cardie
2020 J jnl
Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding.
CoRR
Xinya Du, Claire Cardie
2020 J jnl
Document-level Event-based Extraction Using Generative Template-filling Transformers.
CoRR
Xinya Du, Alexander M. Rush, Claire Cardie
2020 — conf
Event Extraction by Answering (Almost) Natural Questions.
EMNLP (1)
Xinya Du, Claire Cardie
2020 J jnl
Event Extraction by Answering (Almost) Natural Questions.
CoRR
Xinya Du, Claire Cardie
2020 — conf
Improving Event Duration Prediction via Time-aware Pre-training.
EMNLP (Findings)
Zonglin Yang, Xinya Du, Alexander M. Rush, Claire Cardie
2020 J jnl
Improving Event Duration Prediction via Time-aware Pre-training.
CoRR
Zonglin Yang, Xinya Du, Alexander M. Rush, Claire Cardie
2020 — conf
Leveraging Structured Metadata for Improving Question Answering on the Web.
AACL/IJCNLP
Xinya Du, Ahmed Hassan Awadallah, Adam Fourney, Robert Sim, Paul N. Bennett, Claire Cardie
2019 — conf
Be Consistent! Improving Procedural Text Comprehension using Label Consistency.
NAACL-HLT (1)
Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie
2019 J jnl
Be Consistent! Improving Procedural Text Comprehension using Label Consistency.
CoRR
Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie
2018 J jnl
Harvesting Paragraph-Level Question-Answer Pairs from Wikipedia.
CoRR
Xinya Du, Claire Cardie
2018 — conf
Harvesting Paragraph-level Question-Answer Pairs from Wikipedia.
ACL (1)
Xinya Du, Claire Cardie
2017 A* conf
Identifying Where to Focus in Reading Comprehension for Neural Question Generation.
EMNLP
Xinya Du, Claire Cardie
2017 — conf
Learning to Ask: Neural Question Generation for Reading Comprehension.
ACL (1)
Xinya Du, Junru Shao, Claire Cardie
2017 J jnl
Learning to Ask: Neural Question Generation for Reading Comprehension.
CoRR
Xinya Du, Junru Shao, Claire Cardie
2016 — conf
Cornell Belief and Sentiment System at TAC 2016.
TAC
Vlad Niculae, Kai Sun, Xilun Chen, Yao Cheng, Xinya Du, Esin Durmus, Arzoo Katiyar, Claire Cardie