Yichong Xu

88 papers A* 15A 3Misc 1Journal 43Unranked 24
YearRankTypeTitle / Venue / Authors
2024 — book
Knowledge-augmented Methods for Natural Language Processing
Meng Jiang, Bill Yuchen Lin, Shuohang Wang, Yichong Xu, Wenhao Yu, Chenguang Zhu
2024 — conf
Small Models are Valuable Plug-ins for Large Language Models.
ACL (Findings)
Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley
2024 — conf
i-Code Studio: A Configurable and Composable Framework for Integrative AI.
EMNLP (System Demonstrations)
Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang
2024 — conf
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data.
NAACL-HLT (Findings)
Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Xuemei Gao, Yi-ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang
2023 — conf
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning.
ACL (1)
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
2023 — conf
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.
EMNLP (Findings)
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
2023 J jnl
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.
CoRR
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
2023 J jnl
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.
CoRR
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu
2023 A* conf
G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment.
EMNLP
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu
2023 A* conf
Generate rather than Retrieve: Large Language Models are Strong Context Generators.
ICLR
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
2023 A* conf
Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles.
CVPR
Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao
2023 — conf
In-Context Demonstration Selection with Cross Entropy Difference.
EMNLP (Findings)
Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu
2023 J jnl
In-Context Demonstration Selection with Cross Entropy Difference.
CoRR
Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu
2023 — conf
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT.
EMNLP (Findings)
Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng
2023 J jnl
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT.
CoRR
Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng
2023 A conf
Knowledge-Augmented Methods for Natural Language Processing.
WSDM
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu
2023 — conf
LMGQS: A Large-scale Dataset for Query-focused Summarization.
EMNLP (Findings)
Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng
2023 J jnl
LMGQS: A Large-scale Dataset for Query-focused Summarization.
CoRR
Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng
2023 — conf
MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning.
ACL (1)
Yongfeng Huang, Yanyang Li, Yichong Xu, Lin Zhang, Ruyi Gan, Jiaxing Zhang, Liwei Wang
2023 J jnl
Small Models are Valuable Plug-ins for Large Language Models.
CoRR
Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley
2023 A* conf
Sparse Modular Activation for Efficient Sequence Modeling.
NeurIPS
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai
2023 J jnl
Sparse Modular Activation for Efficient Sequence Modeling.
CoRR
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai
2023 J jnl
i-Code Studio: A Configurable and Composable Framework for Integrative AI.
CoRR
Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang
2023 J jnl
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data.
CoRR
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
2023 A* conf
i-Code: An Integrative and Composable Multimodal Learning Framework.
AAAI
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
2022 J jnl
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning.
CoRR
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
2022 A* conf
An Empirical Study of Training End-to-End Vision-and-Language Transformers.
CVPR
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
2022 — conf
Automatic Rule Induction for Efficient Semi-Supervised Learning.
EMNLP (Findings)
Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng
2022 J jnl
Automatic Rule Induction for Efficient Semi-Supervised Learning.
CoRR
Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng
2022 A* conf
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization.
AAAI
Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
2022 — conf
Dict-BERT: Enhancing Language Model Pre-training with Dictionary.
ACL (Findings)
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
2022 A* conf
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering.
EMNLP
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
2022 J jnl
Empowering Language Models with Knowledge Graph Reasoning for Question Answering.
CoRR
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
2022 J jnl
Generate rather than Retrieve: Large Language Models are Strong Context Generators.
CoRR
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
2022 A* conf
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention.
IJCAI
Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang
2022 J jnl
Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles.
CoRR
Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao
2022 J jnl
Integrating Rankings into Quantized Scores in Peer Review.
CoRR
Yusha Liu, Yichong Xu, Nihar B. Shah, Aarti Singh
2022 J jnl
Integrating Rankings into Quantized Scores in Peer Review.
Trans. Mach. Learn. Res.
Yusha Liu, Yichong Xu, Nihar B. Shah, Aarti Singh
2022 — conf
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering.
ACL (1)
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
2022 — conf
Knowledge-Augmented Methods for Natural Language Processing.
ACL (tutorial)
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu
2022 — conf
Leveraging Knowledge in Multilingual Commonsense Reasoning.
ACL (Findings)
Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng
2022 A* conf
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering.
NeurIPS
Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan
2022 J jnl
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering.
CoRR
Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan
2022 — conf
Task Compass: Scaling Multi-task Pre-training with Task Prefix.
EMNLP (Findings)
Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng
2022 J jnl
Task Compass: Scaling Multi-task Pre-training with Task Prefix.
CoRR
Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng
2022 — conf
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data.
ACL (1)
Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng
2022 J jnl
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data.
CoRR
Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng
2022 — conf
Unsupervised Multi-Granularity Summarization.
EMNLP (Findings)
Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han
2022 J jnl
Unsupervised Summarization with Customized Granularities.
CoRR
Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han
2022 J jnl
i-Code: An Integrative and Composable Multimodal Learning Framework.
CoRR
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
2021 J jnl
An Empirical Study of Training End-to-End Vision-and-Language Transformers.
CoRR
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
2021 J jnl
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization.
CoRR
Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
2021 J jnl
Dict-BERT: Enhancing Language Model Pre-training with Dictionary.
CoRR
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
2021 — conf
Fusing Context Into Knowledge Graph for Commonsense Question Answering.
ACL/IJCNLP (Findings)
Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang
2021 J jnl
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention.
CoRR
Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang
2021 J jnl
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering.
CoRR
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
2021 — —
Learning and Decision Making from Diverse Forms of Information.
Yichong Xu
2021 J jnl
Leveraging Knowledge in Multilingual Commonsense Reasoning.
CoRR
Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng
2021 — conf
Retrieval Enhanced Model for Commonsense Generation.
ACL/IJCNLP (Findings)
Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng
2021 J jnl
Retrieval Enhanced Model for Commonsense Generation.
CoRR
Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng
2021 — conf
Want To Reduce Labeling Cost? GPT-3 Can Help.
EMNLP (Findings)
Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
2021 J jnl
Want To Reduce Labeling Cost? GPT-3 Can Help.
CoRR
Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
2020 J jnl
Fusing Context Into Knowledge Graph for Commonsense Reasoning.
CoRR
Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang
2020 A* conf
Preference-based Reinforcement Learning with Finite-Time Guarantees.
NeurIPS
Yichong Xu, Ruosong Wang, Lin F. Yang, Aarti Singh, Artur Dubrawski
2020 J jnl
Preference-based Reinforcement Learning with Finite-Time Guarantees.
CoRR
Yichong Xu, Ruosong Wang, Lin F. Yang, Aarti Singh, Artur Dubrawski
2020 J jnl
Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information.
J. Mach. Learn. Res.
Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
2020 A conf
Thresholding Bandit Problem with Both Duels and Pulls.
AISTATS
Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski
2020 A conf
Zeroth Order Non-convex optimization with Dueling-Choice Bandits.
UAI
Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski
2019 — conf
3D Map Optimization with Fully Convolutional Neural Network and Dynamic Local NDT.
ITSC
Zebang Shen, Yichong Xu, Muchen Sun, Alexander Carballo, Qingguo Zhou
2019 J jnl
Active Learning for Graph Neural Networks via Node Feature Propagation.
CoRR
Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, Artur Dubrawski
2019 — conf
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain.
BioNLP@ACL
Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
2019 J jnl
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain.
CoRR
Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
2019 — conf
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension.
NAACL-HLT (1)
Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao
2019 A* conf
On Strategyproof Conference Peer Review.
IJCAI
Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah
2019 J jnl
Thresholding Bandit Problem with Both Duels and Pulls.
CoRR
Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski
2019 J jnl
Zeroth Order Non-convex optimization with Dueling-Choice Bandits.
CoRR
Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski
2018 Misc conf
Interactive Linear Regression with Pairwise Comparisons.
ACSSC
Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
2018 J jnl
Multi-Task Learning for Machine Reading Comprehension.
CoRR
Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao
2018 A* conf
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information.
ICML
Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
2018 J jnl
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information.
CoRR
Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
2018 J jnl
On Strategyproof Conference Peer Review.
CoRR
Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah
2017 A* conf
Computational Issues in Time-Inconsistent Planning.
AAAI
Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu
2017 — conf
Noise-Tolerant Interactive Learning Using Pairwise Comparisons.
NIPS
Yichong Xu, Hongyang Zhang, Aarti Singh, Artur Dubrawski, Kyle Miller
2017 J jnl
Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies.
CoRR
Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu
2015 A* conf
The application of two-level attention models in deep convolutional neural network for fine-grained image classification.
CVPR
Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang
2014 J jnl
Scale-Invariant Convolutional Neural Networks.
CoRR
Yichong Xu, Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Zheng Zhang
2014 J jnl
Settling the open problems in Kleinberg-Oren time-inconsistent planning models.
CoRR
Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu
2014 J jnl
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification.
CoRR
Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang