Cornell Belief and Sentiment System at TAC 2016. - Vlad Niculae; Kai Sun 006; Xilun Chen 002; Yao Cheng; Xinya Du; Esin Durmus; Arzoo Katiyar; Claire Cardie (TAC, 2016)

Learning to Ask: Neural Question Generation for Reading Comprehension. - Xinya Du; Junru Shao; Claire Cardie (ACL (1), 2017)

Identifying Where to Focus in Reading Comprehension for Neural Question Generation. - Xinya Du; Claire Cardie (EMNLP, 2017)

Harvesting Paragraph-level Question-Answer Pairs from Wikipedia. - Xinya Du; Claire Cardie (ACL (1), 2018)

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 (NAACL-HLT (1), 2019)

Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding. - Xinya Du; Claire Cardie (ACL, 2020)

Event Extraction by Answering (Almost) Natural Questions. - Xinya Du; Claire Cardie (EMNLP (1), 2020)

Improving Event Duration Prediction via Time-aware Pre-training. - Zonglin Yang 001; Xinya Du; Alexander M. Rush; Claire Cardie (EMNLP (Findings), 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 (AACL/IJCNLP, 2020)

Document-level Event-based Extraction Using Generative Template-filling Transformers. - Xinya Du; Alexander M. Rush; Claire Cardie (CoRR, 2020)

QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining. - Xinya Du; Luheng He; Qi Li; Dian Yu; Panupong Pasupat; Yuan Zhang 001 (ACL/IJCNLP (2), 2021)

GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction. - Xinya Du; Alexander M. Rush; Claire Cardie (EACL, 2021)

Template Filling with Generative Transformers. - Xinya Du; Alexander M. Rush; Claire Cardie (NAACL-HLT, 2021)

Few-shot Intent Classification and Slot Filling with Retrieved Examples. - Dian Yu; Luheng He; Yuan Zhang 001; Xinya Du; Panupong Pasupat; Qi Li (NAACL-HLT, 2021)

Towards More Intelligent Extraction of Information from Documents. - Xinya Du (2021)

Automatic Error Analysis for Document-level Information Extraction. - Aliva Das; Xinya Du; Barry Wang; Kejian Shi; Jiayuan Gu; Thomas Porter; Claire Cardie (ACL (1), 2022)

Dynamic Global Memory for Document-level Argument Extraction. - Xinya Du; Sha Li; Heng Ji (ACL (1), 2022)

Retrieval-Augmented Generative Question Answering for Event Argument Extraction. - Xinya Du; Heng Ji (EMNLP, 2022)

Zero-Shot Classification by Logical Reasoning on Natural Language Explanations. - Chi Han; Hengzhi Pei; Xinya Du; Heng Ji 001 (ACL (Findings), 2023)

End-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion. - Zonglin Yang 001; Xinya Du; Erik Cambria; Claire Cardie (EACL, 2023)

Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning. - Ruosen Li; Xinya Du (EMNLP (Findings), 2023)

POE: Process of Elimination for Multiple Choice Reasoning. - Chenkai Ma; Xinya Du (EMNLP, 2023)

Probing Representations for Document-level Event Extraction. - Barry Wang; Xinya Du; Claire Cardie (EMNLP (Findings), 2023)

Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. - Chi Han; Qizheng He; Charles Yu; Xinya Du; Hanghang Tong; Heng Ji 001 (ICLR, 2023)

Logical Reasoning over Natural Language as Knowledge Representation: A Survey. - Zonglin Yang 001; Xinya Du; Rui Mao 010; Jinjie Ni; Erik Cambria (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)

FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models. - Liqiang Jing; Ruosen Li; Yunmo Chen; Mengzhao Jia; Xinya Du (CoRR, 2023)

Making Natural Language Reasoning Explainable and Faithful. - Xinya Du (AAAI, 2024)

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery. - Zonglin Yang 001; Xinya Du; Junxian Li 001; Jie Zheng; Soujanya Poria; Erik Cambria (ACL (Findings), 2024)

QAEVENT: Event Extraction as Question-Answer Pairs Generation. - Milind Choudhary; Xinya Du (EACL (Findings), 2024)

Language Models as Inductive Reasoners. - Zonglin Yang 001; Li Dong 004; Xinya Du; Hao Cheng 002; Erik Cambria; Xiaodong Liu 003; Jianfeng Gao 001; Furu Wei (EACL (1), 2024)

FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models. - Liqiang Jing; Ruosen Li; Yunmo Chen; Xinya Du (EMNLP (Findings), 2024)

Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering. - Zimu Wang; Lei Xia 004; Wei Xjtlu; Xinya Du (EMNLP (Findings), 2024)

Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning. - Jishnu Jaykumar P; Kamalesh Palanisamy; Yu-Wei Chao; Xinya Du; Yu Xiang 001 (IROS, 2024)

IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering. - Ruosen Li; Ruochen Li; Barry Wang; Xinya Du (NeurIPS, 2024)

MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations. - Ruosen Li; Zimu Wang; Son Quoc Tran; Lei Xia 004; Xinya Du (NeurIPS, 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)

MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents. - Ruochen Li; Teerth Patel; Qingyun Wang 005; 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 002; Kaixin Ma; Hongming Zhang 009; Xinya Du; Dong Yu 001 (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)

Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering. - Zimu Wang; Lei Xia 004; Wei Wang 042; Xinya Du (CoRR, 2024)

Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning. - Ruosen Li; Ziming Luo; Xinya Du (CoRR, 2024)

Learning to Generate Research Idea with Dynamic Control. - Ruochen Li; Liqiang Jing; Chi Han; Jiawei Zhou; Xinya Du (CoRR, 2024)

PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations. - Ruosen Li; Teerth Patel; Xinya Du (Trans. Mach. Learn. Res., 2024)

FIHA: Automated Fine-grained Hallucinations Evaluations in Large Vision Language Models with Davidson Scene Graphs. - Bowen Yan; Zhengsong Zhang; Liqiang Jing; Eftekhar Hossain; Xinya Du (ACL (Findings), 2025)

DSBench: How Far Are Data Science Agents from Becoming Data Science Experts? - Liqiang Jing; Zhehui Huang; Xiaoyang Wang; Wenlin Yao; Wenhao Yu 002; Kaixin Ma; Hongming Zhang 009; Xinya Du; Dong Yu 001 (ICLR, 2025)

Tutorial Proposal: Hallucinations in Large Language Models and Large Vision-Language Models. - Liqiang Jing; Yue Zhang; Xinya Du (ICMR, 2025)

FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback. - Liqiang Jing; Xinya Du (Trans. Mach. Learn. Res., 2025)

LLM4SR: A Survey on Large Language Models for Scientific Research. - Ziming Luo; Zonglin Yang 001; Zexin Xu; Wei Yang 013; Xinya Du (CoRR, 2025)

Do Retrieval-Augmented Language Models Adapt to Varying User Needs? - Peilin Wu; Xinlu Zhang; Wenhao Yu 002; Xingyu Liu; Xinya Du; Zhiyu Zoey Chen (CoRR, 2025)

Multimodal Reference Visual Grounding. - Yangxiao Lu; Ruosen Li; Liqiang Jing; Jikai Wang; Xinya Du; Yunhui Guo; Nicholas Ruozzi; Yu Xiang 001 (CoRR, 2025)

SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models. - Hardy Chen; Haoqin Tu; Fali Wang; Hui Liu 031; Xianfeng Tang; Xinya Du; Yuyin Zhou; Cihang Xie (CoRR, 2025)

VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models. - Haojian Huang; Haodong Chen; Shengqiong Wu; Meng Luo 002; Jinlan Fu; Xinya Du; Hanwang Zhang; Hao Fei 001 (CoRR, 2025)

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models. - Liqiang Jing; Guiming Hardy Chen; Ehsan Aghazadeh; Xin Eric Wang; Xinya Du (CoRR, 2025)

Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty. - Peilin Wu; Mian Zhang; Xinlu Zhang; Xinya Du; Zhiyu Zoey Chen (CoRR, 2025)

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research. - Shuo Yan; Ruochen Li; Ziming Luo; Zimu Wang; Daoyang Li; Liqiang Jing; Kaiyu He; Peilin Wu; George Michalopoulos; Yue Zhang; Ziyang Zhang; Mian Zhang; et al. (CoRR, 2025)

AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control. - Ruosen Li; Ziming Luo; Quan Zhang; Ruochen Li; Ben Zhou; Ali Payani; Xinya Du (CoRR, 2025)

FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text Generation. - Liqiang Jing; Viet Lai; Seunghyun Yoon; Trung Bui; Xinya Du (CoRR, 2025)