Settling the open problems in Kleinberg-Oren time-inconsistent planning models. - Pingzhong Tang; Yifeng Teng; Zihe Wang 001; Shenke Xiao; Yichong Xu (CoRR, 2014)

Scale-Invariant Convolutional Neural Networks. - Yichong Xu; Tianjun Xiao; Jiaxing Zhang; Kuiyuan Yang; Zheng Zhang 001 (CoRR, 2014)

The application of two-level attention models in deep convolutional neural network for fine-grained image classification. - Tianjun Xiao; Yichong Xu; Kuiyuan Yang; Jiaxing Zhang; Yuxin Peng; Zheng Zhang 001 (CVPR, 2015)

Computational Issues in Time-Inconsistent Planning. - Pingzhong Tang; Yifeng Teng; Zihe Wang 001; Shenke Xiao; Yichong Xu (AAAI, 2017)

Noise-Tolerant Interactive Learning Using Pairwise Comparisons. - Yichong Xu; Hongyang Zhang 001; Aarti Singh; Artur Dubrawski; Kyle Miller 001 (NIPS, 2017)

Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies. - Yichong Xu; Jingjing Liu 001; Jianfeng Gao 001; Yelong Shen; Xiaodong Liu 003 (CoRR, 2017)

Interactive Linear Regression with Pairwise Comparisons. - Yichong Xu; Sivaraman Balakrishnan; Aarti Singh; Artur Dubrawski (ACSSC, 2018)

Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. - Yichong Xu; Hariank Muthakana; Sivaraman Balakrishnan; Aarti Singh; Artur Dubrawski (ICML, 2018)

Multi-Task Learning for Machine Reading Comprehension. - Yichong Xu; Xiaodong Liu 003; Yelong Shen; Jingjing Liu 001; Jianfeng Gao 001 (CoRR, 2018)

DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. - Yichong Xu; Xiaodong Liu 003; Chunyuan Li; Hoifung Poon; Jianfeng Gao 001 (BioNLP@ACL, 2019)

On Strategyproof Conference Peer Review. - Yichong Xu; Han Zhao 002; Xiaofei Shi; Nihar B. Shah (IJCAI, 2019)

3D Map Optimization with Fully Convolutional Neural Network and Dynamic Local NDT. - Zebang Shen; Yichong Xu; Muchen Sun; Alexander Carballo; Qingguo Zhou (ITSC, 2019)

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension. - Yichong Xu; Xiaodong Liu 003; Yelong Shen; Jingjing Liu 001; Jianfeng Gao 001 (NAACL-HLT (1), 2019)

Active Learning for Graph Neural Networks via Node Feature Propagation. - Yuexin Wu; Yichong Xu; Aarti Singh; Yiming Yang; Artur Dubrawski (CoRR, 2019)

Thresholding Bandit Problem with Both Duels and Pulls. - Yichong Xu; Xi Chen; Aarti Singh; Artur Dubrawski (AISTATS, 2020)

Preference-based Reinforcement Learning with Finite-Time Guarantees. - Yichong Xu; Ruosong Wang; Lin F. Yang; Aarti Singh; Artur Dubrawski (NeurIPS, 2020)

Zeroth Order Non-convex optimization with Dueling-Choice Bandits. - Yichong Xu; Aparna Joshi; Aarti Singh; Artur Dubrawski (UAI, 2020)

Fusing Context Into Knowledge Graph for Commonsense Reasoning. - Yichong Xu; Chenguang Zhu 001; Ruochen Xu; Yang Liu 124; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2020)

Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. - Yichong Xu; Sivaraman Balakrishnan; Aarti Singh; Artur Dubrawski (J. Mach. Learn. Res., 2020)

Retrieval Enhanced Model for Commonsense Generation. - Han Wang; Yang Liu 124; Chenguang Zhu 001; Linjun Shou; Ming Gong 001; Yichong Xu; Michael Zeng 001 (ACL/IJCNLP (Findings), 2021)

Fusing Context Into Knowledge Graph for Commonsense Question Answering. - Yichong Xu; Chenguang Zhu 001; Ruochen Xu; Yang Liu 124; Michael Zeng 001; Xuedong Huang 001 (ACL/IJCNLP (Findings), 2021)

Want To Reduce Labeling Cost? GPT-3 Can Help. - Shuohang Wang; Yang Liu 124; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2021)

Learning and Decision Making from Diverse Forms of Information. - Yichong Xu (2021)

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. - Ming Zhong 005; Yang Liu 124; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001 (AAAI, 2022)

Dict-BERT: Enhancing Language Model Pre-training with Dictionary. - Wenhao Yu 002; Chenguang Zhu 001; Yuwei Fang; Donghan Yu; Shuohang Wang; Yichong Xu; Michael Zeng 001; Meng Jiang 001 (ACL (Findings), 2022)

Leveraging Knowledge in Multilingual Commonsense Reasoning. - Yuwei Fang; Shuohang Wang; Yichong Xu; Ruochen Xu; Siqi Sun; Chenguang Zhu 001; Michael Zeng 001 (ACL (Findings), 2022)

Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. - Shuohang Wang; Yichong Xu; Yuwei Fang; Yang Liu 124; Siqi Sun; Ruochen Xu; Chenguang Zhu 001; Michael Zeng 001 (ACL (1), 2022)

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. - Donghan Yu; Chenguang Zhu 001; Yuwei Fang; Wenhao Yu 002; Shuohang Wang; Yichong Xu; Xiang Ren 001; Yiming Yang; Michael Zeng 001 (ACL (1), 2022)

An Empirical Study of Training End-to-End Vision-and-Language Transformers. - Zi-Yi Dou; Yichong Xu; Zhe Gan; Jianfeng Wang; Shuohang Wang; Lijuan Wang; Chenguang Zhu 001; Pengchuan Zhang; Lu Yuan; Nanyun Peng 001; Zicheng Liu 001; Michael Zeng 001 (CVPR, 2022)

Task Compass: Scaling Multi-task Pre-training with Task Prefix. - Zhuosheng Zhang 001; Shuohang Wang; Yichong Xu; Yuwei Fang; Wenhao Yu 002; Yang Liu 124; Hai Zhao 001; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2022)

Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. - Ziniu Hu; Yichong Xu; Wenhao Yu 002; Shuohang Wang; Ziyi Yang; Chenguang Zhu 001; Kai-Wei Chang; Yizhou Sun (EMNLP, 2022)

Automatic Rule Induction for Efficient Semi-Supervised Learning. - Reid Pryzant; Ziyi Yang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2022)

Unsupervised Multi-Granularity Summarization. - Ming Zhong 005; Yang Liu 124; Suyu Ge; Yuning Mao; Yizhu Jiao; Xingxing Zhang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001; Jiawei Han 001 (EMNLP (Findings), 2022)

Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. - Yichong Xu; Chenguang Zhu 001; Shuohang Wang; Siqi Sun; Hao Cheng 002; Xiaodong Liu 003; Jianfeng Gao 001; Pengcheng He; Michael Zeng 001; Xuedong Huang 001 (IJCAI, 2022)

REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering. - Yuanze Lin; Yujia Xie; Dongdong Chen 001; Yichong Xu; Chenguang Zhu 001; Lu Yuan (NeurIPS, 2022)

Unsupervised Summarization with Customized Granularities. - Ming Zhong 005; Yang Liu 124; Suyu Ge; Yuning Mao; Yizhu Jiao; Xingxing Zhang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001; Jiawei Han 001 (CoRR, 2022)

Empowering Language Models with Knowledge Graph Reasoning for Question Answering. - Ziniu Hu; Yichong Xu; Wenhao Yu 002; Shuohang Wang; Ziyi Yang; Chenguang Zhu 001; Kai-Wei Chang; Yizhou Sun (CoRR, 2022)

Integrating Rankings into Quantized Scores in Peer Review. - Yusha Liu; Yichong Xu; Nihar B. Shah; Aarti Singh (Trans. Mach. Learn. Res., 2022)

i-Code: An Integrative and Composable Multimodal Learning Framework. - Ziyi Yang; Yuwei Fang; Chenguang Zhu 001; Reid Pryzant; Dongdong Chen 001; Yu Shi 001; Yichong Xu; Yao Qian; Mei Gao; Yi-Ling Chen; Liyang Lu; Yujia Xie; et al. (AAAI, 2023)

MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning. - Yongfeng Huang 001; Yanyang Li; Yichong Xu; Lin Zhang; Ruyi Gan; Jiaxing Zhang 001; Liwei Wang 009 (ACL (1), 2023)

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. - Soumya Sanyal 001; Yichong Xu; Shuohang Wang; Ziyi Yang; Reid Pryzant; Wenhao Yu 002; Chenguang Zhu 001; Xiang Ren 001 (ACL (1), 2023)

Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles. - Shuquan Ye; Yujia Xie; Dongdong Chen 001; Yichong Xu; Lu Yuan; Chenguang Zhu 001; Jing Liao 001 (CVPR, 2023)

In-Context Demonstration Selection with Cross Entropy Difference. - Dan Iter; Reid Pryzant; Ruochen Xu; Shuohang Wang; Yang Liu; Yichong Xu; Chenguang Zhu 001 (EMNLP (Findings), 2023)

G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment. - Yang Liu; Dan Iter; Yichong Xu; Shuohang Wang; Ruochen Xu; Chenguang Zhu (EMNLP, 2023)

LMGQS: A Large-scale Dataset for Query-focused Summarization. - Ruochen Xu; Song Wang 012; Yang Liu 124; Shuohang Wang; Yichong Xu; Dan Iter; Pengcheng He; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2023)

InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. - Yichong Xu; Ruochen Xu; Dan Iter; Yang Liu 124; Shuohang Wang; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2023)

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. - Zhihan Zhang 001; Shuohang Wang; Wenhao Yu 002; Yichong Xu; Dan Iter; Qingkai Zeng 001; Yang Liu 124; Chenguang Zhu 001; Meng Jiang 001 (EMNLP (Findings), 2023)

Generate rather than Retrieve: Large Language Models are Strong Context Generators. - Wenhao Yu 002; Dan Iter; Shuohang Wang; Yichong Xu; Mingxuan Ju; Soumya Sanyal 001; Chenguang Zhu 001; Michael Zeng 001; Meng Jiang 001 (ICLR, 2023)

Sparse Modular Activation for Efficient Sequence Modeling. - Liliang Ren; Yang Liu; Shuohang Wang; Yichong Xu; Chenguang Zhu; ChengXiang Zhai (NeurIPS, 2023)

Knowledge-Augmented Methods for Natural Language Processing. - Chenguang Zhu 001; Yichong Xu; Xiang Ren 001; Bill Yuchen Lin; Meng Jiang 001; Wenhao Yu 002 (WSDM, 2023)

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment. - Yang Liu 124; Dan Iter; Yichong Xu; Shuohang Wang; Ruochen Xu; Chenguang Zhu 001 (CoRR, 2023)

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. - Ziyi Yang; Mahmoud Khademi; Yichong Xu; Reid Pryzant; Yuwei Fang; Chenguang Zhu 001; Dongdong Chen 001; Yao Qian; Mei Gao; Yi-Ling Chen; Robert Gmyr; Naoyuki Kanda; et al. (CoRR, 2023)

LMGQS: A Large-scale Dataset for Query-focused Summarization. - Ruochen Xu; Song Wang 012; Yang Liu 124; Shuohang Wang; Yichong Xu; Dan Iter; Chenguang Zhu 001; Michael Zeng 001 (CoRR, 2023)

i-Code Studio: A Configurable and Composable Framework for Integrative AI. - Yuwei Fang; Mahmoud Khademi; Chenguang Zhu 001; Ziyi Yang; Reid Pryzant; Yichong Xu; Yao Qian; Takuya Yoshioka; Lu Yuan; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2023)

Small Models are Valuable Plug-ins for Large Language Models. - Canwen Xu; Yichong Xu; Shuohang Wang; Yang Liu 124; Chenguang Zhu 001; Julian J. McAuley (ACL (Findings), 2024)

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. - Ziyi Yang; Mahmoud Khademi; Yichong Xu; Reid Pryzant; Yuwei Fang; Chenguang Zhu 001; Dongdong Chen 001; Yao Qian; Xuemei Gao; Yi-Ling Chen; Robert Gmyr; Naoyuki Kanda; et al. (NAACL-HLT (Findings), 2024)

Knowledge-augmented Methods for Natural Language Processing - Meng Jiang 001; Bill Yuchen Lin; Shuohang Wang; Yichong Xu; Wenhao Yu 002; Chenguang Zhu 001 (Springer, 2024)