Yichong Xu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 80

Top Topics

Pairwise Comparison

Commonsense Reasoning

Top Venues

EMNLP (Findings)

Publications

Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley
Small Models are Valuable Plug-ins for Large Language Models. ACL (Findings) (2024)
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. ACL (1) (2023)
Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng
LMGQS: A Large-scale Dataset for Query-focused Summarization. EMNLP (Findings) (2023)
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. CoRR (2023)
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. EMNLP (Findings) (2023)
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment. CoRR (2023)
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu
G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment. EMNLP (2023)
Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. EMNLP (Findings) (2023)
Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng
LMGQS: A Large-scale Dataset for Query-focused Summarization. CoRR (2023)
Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao
Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles. CVPR (2023)
Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian McAuley
Small Models are Valuable Plug-ins for Large Language Models. CoRR (2023)
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
Generate rather than Retrieve: Large Language Models are Strong Context Generators. ICLR (2023)
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai
Sparse Modular Activation for Efficient Sequence Modeling. CoRR (2023)
Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu
In-Context Demonstration Selection with Cross Entropy Difference. CoRR (2023)
Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu
In-Context Demonstration Selection with Cross Entropy Difference. EMNLP (Findings) (2023)
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai
Sparse Modular Activation for Efficient Sequence Modeling. NeurIPS (2023)
Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-Ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang
i-Code: An Integrative and Composable Multimodal Learning Framework. AAAI (2023)
Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Mei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. CoRR (2023)
Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. CoRR (2023)
Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang
i-Code Studio: A Configurable and Composable Framework for Integrative AI. CoRR (2023)
Yongfeng Huang, Yanyang Li, Yichong Xu, Lin Zhang, Ruyi Gan, Jiaxing Zhang, Liwei Wang
MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning. ACL (1) (2023)
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu
Knowledge-Augmented Methods for Natural Language Processing. WSDM (2023)
Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng
An Empirical Study of Training End-to-End Vision-and-Language Transformers. CVPR (2022)
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. CoRR (2022)
Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng
Task Compass: Scaling Multi-task Pre-training with Task Prefix. CoRR (2022)
Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-Ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang
i-Code: An Integrative and Composable Multimodal Learning Framework. CoRR (2022)
Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng
Automatic Rule Induction for Efficient Semi-Supervised Learning. EMNLP (Findings) (2022)
Yusha Liu, Yichong Xu, Nihar B. Shah, Aarti Singh
Integrating Rankings into Quantized Scores in Peer Review. Trans. Mach. Learn. Res. 2022 (2022)
Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. AAAI (2022)
Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han
Unsupervised Multi-Granularity Summarization. EMNLP (Findings) (2022)
Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. IJCAI (2022)
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
Generate rather than Retrieve: Large Language Models are Strong Context Generators. CoRR (2022)
Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han
Unsupervised Summarization with Customized Granularities. CoRR (2022)
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. ACL (Findings) (2022)
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
Empowering Language Models with Knowledge Graph Reasoning for Question Answering. CoRR (2022)
Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng
Leveraging Knowledge in Multilingual Commonsense Reasoning. ACL (Findings) (2022)
Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao
Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles. CoRR (2022)
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu
Knowledge-Augmented Methods for Natural Language Processing. ACL (tutorial) (2022)
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. EMNLP (2022)
Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering. CoRR (2022)
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. ACL (1) (2022)
Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. CoRR (2022)
Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. ACL (1) (2022)
Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng
Task Compass: Scaling Multi-task Pre-training with Task Prefix. EMNLP (Findings) (2022)
Yusha Liu, Yichong Xu, Nihar B. Shah, Aarti Singh
Integrating Rankings into Quantized Scores in Peer Review. CoRR (2022)
Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering. NeurIPS (2022)
Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng
Automatic Rule Induction for Efficient Semi-Supervised Learning. CoRR (2022)
Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng
Leveraging Knowledge in Multilingual Commonsense Reasoning. CoRR (2021)
Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
Want To Reduce Labeling Cost? GPT-3 Can Help. EMNLP (Findings) (2021)
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. CoRR (2021)
Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng
Retrieval Enhanced Model for Commonsense Generation. CoRR (2021)
Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng
An Empirical Study of Training End-to-End Vision-and-Language Transformers. CoRR (2021)
Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang
Fusing Context Into Knowledge Graph for Commonsense Question Answering. ACL/IJCNLP (Findings) (2021)
Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. CoRR (2021)
Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. CoRR (2021)
Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng
Retrieval Enhanced Model for Commonsense Generation. ACL/IJCNLP (Findings) (2021)
Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
Want To Reduce Labeling Cost? GPT-3 Can Help. CoRR (2021)
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. CoRR (2021)
Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski
Thresholding Bandit Problem with Both Duels and Pulls. AISTATS (2020)
Yichong Xu, Ruosong Wang, Lin F. Yang, Aarti Singh, Artur Dubrawski
Preference-based Reinforcement Learning with Finite-Time Guarantees. NeurIPS (2020)
Yichong Xu, Ruosong Wang, Lin F. Yang, Aarti Singh, Artur Dubrawski
Preference-based Reinforcement Learning with Finite-Time Guarantees. CoRR (2020)
Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. J. Mach. Learn. Res. 21 (2020)
Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski
Zeroth Order Non-convex optimization with Dueling-Choice Bandits. UAI (2020)
Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang
Fusing Context Into Knowledge Graph for Commonsense Reasoning. CoRR (2020)
Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski
Thresholding Bandit Problem with Both Duels and Pulls. CoRR (2019)
Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, Artur Dubrawski
Active Learning for Graph Neural Networks via Node Feature Propagation. CoRR (2019)
Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah
On Strategyproof Conference Peer Review. IJCAI (2019)
Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. BioNLP@ACL (2019)
Zebang Shen, Yichong Xu, Muchen Sun, Alexander Carballo, Qingguo Zhou
3D Map Optimization with Fully Convolutional Neural Network and Dynamic Local NDT. ITSC (2019)
Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski
Zeroth Order Non-convex optimization with Dueling-Choice Bandits. CoRR (2019)
Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension. NAACL-HLT (1) (2019)
Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. CoRR (2019)
Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. ICML (2018)
Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao
Multi-Task Learning for Machine Reading Comprehension. CoRR (2018)
Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. CoRR (2018)
Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
Interactive Linear Regression with Pairwise Comparisons. ACSSC (2018)
Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah
On Strategyproof Conference Peer Review. CoRR (2018)
Yichong Xu, Hongyang Zhang, Aarti Singh, Artur Dubrawski, Kyle Miller
Noise-Tolerant Interactive Learning Using Pairwise Comparisons. NIPS (2017)
Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu
Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies. CoRR (2017)
Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu
Computational Issues in Time-Inconsistent Planning. AAAI (2017)
Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang
The application of two-level attention models in deep convolutional neural network for fine-grained image classification. CVPR (2015)
Yichong Xu, Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Zheng Zhang
Scale-Invariant Convolutional Neural Networks. CoRR (2014)
Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification. CoRR (2014)
Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu
Settling the open problems in Kleinberg-Oren time-inconsistent planning models. CoRR (2014)