Fast Detection of Maximum Common Subgraph via Deep Q-Learning. - Yunsheng Bai; Derek Xu; Alex Wang; Ken Gu; Xueqing Wu 001; Agustin Marinovic; Christopher Ro; Yizhou Sun; Wei Wang 010 (CoRR, 2020)

Learn to Use Future Information in Simultaneous Translation. - Xueqing Wu 001; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Weiqing Liu; Jiang Bian 002; Tao Qin 001; Tie-Yan Liu (CoRR, 2020)

Adaptive Period Embedding for Representing Oriented Objects in Aerial Images. - Yixing Zhu; Jun Du 002; Xueqing Wu 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Temporally Correlated Task Scheduling for Sequence Learning. - Xueqing Wu 001; Lewen Wang; Yingce Xia; Weiqing Liu; Lijun Wu 003; Shufang Xie 003; Tao Qin 001; Tie-Yan Liu (ICML, 2021)

mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation. - Xueqing Wu 001; Yingce Xia; Jinhua Zhu 001; Lijun Wu 003; Shufang Xie 003; Yang Fan; Tao Qin 001 (IWSLT, 2021)

Text-to-Table: A New Way of Information Extraction. - Xueqing Wu 001; Jiacheng Zhang; Hang Li (ACL (1), 2022)

Cross-document Misinformation Detection based on Event Graph Reasoning. - Xueqing Wu 001; Kung-Hsiang Huang; Yi R. Fung 001; Heng Ji 001 (NAACL-HLT, 2022)

A study of BERT for context-aware neural machine translation. - Xueqing Wu 001; Yingce Xia; Jinhua Zhu 001; Lijun Wu 003; Shufang Xie 003; Tao Qin 001 (Mach. Learn., 2022)

OpenPI-C: A Better Benchmark and Stronger Baseline for Open-Vocabulary State Tracking. - Xueqing Wu 001; Sha Li; Heng Ji 001 (ACL (Findings), 2023)

Retrieval-Based Transformer for Table Augmentation. - Michael R. Glass; Xueqing Wu 001; Ankita Rajaram Naik; Gaetano Rossiello; Alfio Gliozzo (ACL (Findings), 2023)

Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. - Xiao Liu 032; Zirui Wu; Xueqing Wu 001; Pan Lu; Kai-Wei Chang; Yansong Feng 002 (ACL (Findings), 2024)

VDebugger: Harnessing Execution Feedback for Debugging Visual Programs. - Xueqing Wu 001; Zongyu Lin; Songyan Zhao; Te-Lin Wu; Pan Lu; Nanyun Peng 001; Kai-Wei Chang (EMNLP (Findings), 2024)

Re-ReST: Reflection-Reinforced Self-Training for Language Agents. - Zi-Yi Dou; Cheng-Fu Yang; Xueqing Wu 001; Kai-Wei Chang; Nanyun Peng 001 (EMNLP, 2024)

DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation. - Xueqing Wu 001; Rui Zheng; Jingzhen Sha; Te-Lin Wu; Hanyu Zhou; Mohan Tang; Kai-Wei Chang; Nanyun Peng 001; Haoran Huang (NeurIPS, 2024)

Reflection-Reinforced Self-Training for Language Agents. - Zi-Yi Dou; Cheng-Fu Yang; Xueqing Wu 001; Kai-Wei Chang; Nanyun Peng 001 (CoRR, 2024)

VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning. - Xueqing Wu 001; Yuheng Ding; Bingxuan Li; Pan Lu; Da Yin; Kai-Wei Chang; Nanyun Peng 001 (CVPR, 2025)