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2020 – today
- 2023
[c28]Chenguang Zhu
, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu:
Knowledge-Augmented Methods for Natural Language Processing. WSDM 2023: 1228-1231- 2022
- [c27]Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. AAAI 2022: 11765-11773 - [c26]Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu:
Knowledge-Augmented Methods for Natural Language Processing. ACL (tutorial) 2022: 12-20 - [c25]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: 1907-1918 - [c24]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: 3170-3179 - [c23]Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng:
Leveraging Knowledge in Multilingual Commonsense Reasoning. ACL (Findings) 2022: 3237-3246 - [c22]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: 4961-4974 - [c21]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: 18145-18155 - [c20]Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng:
Automatic Rule Induction for Efficient Semi-Supervised Learning. EMNLP (Findings) 2022: 28-44 - [c19]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: 4980-4995 - [c18]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: 5671-5685 - [c17]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: 9562-9581 - [c16]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: 2762-2768 - [i32]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 abs/2201.12502 (2022) - [i31]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 abs/2203.08773 (2022) - [i30]Yusha Liu, Yichong Xu, Nihar B. Shah, Aarti Singh:
Integrating Rankings into Quantized Scores in Peer Review. CoRR abs/2204.03505 (2022) - [i29]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 abs/2205.01818 (2022) - [i28]Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng:
Automatic Rule Induction for Efficient Semi-Supervised Learning. CoRR abs/2205.09067 (2022) - [i27]Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan:
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering. CoRR abs/2206.01201 (2022) - [i26]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 abs/2209.10063 (2022) - [i25]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 abs/2210.06277 (2022) - [i24]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 abs/2211.08380 (2022) - [i23]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 abs/2211.16504 (2022) - [i22]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 abs/2212.09282 (2022) - 2021
- [b1]Yichong Xu:
Learning and Decision Making from Diverse Forms of Information. Carnegie Mellon University, USA, 2021 - [c15]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: 1201-1207 - [c14]Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng:
Retrieval Enhanced Model for Commonsense Generation. ACL/IJCNLP (Findings) 2021: 3056-3062 - [c13]Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
Want To Reduce Labeling Cost? GPT-3 Can Help. EMNLP (Findings) 2021: 4195-4205 - [i21]Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng:
Retrieval Enhanced Model for Commonsense Generation. CoRR abs/2105.11174 (2021) - [i20]Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
Want To Reduce Labeling Cost? GPT-3 Can Help. CoRR abs/2108.13487 (2021) - [i19]Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. CoRR abs/2109.02492 (2021) - [i18]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 abs/2110.04330 (2021) - [i17]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 abs/2110.06490 (2021) - [i16]Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng:
Leveraging Knowledge in Multilingual Commonsense Reasoning. CoRR abs/2110.08462 (2021) - [i15]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 abs/2111.02387 (2021) - [i14]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 abs/2112.03254 (2021) - 2020
- [j1]Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski:
Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. J. Mach. Learn. Res. 21: 162:1-162:54 (2020) - [c12]Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski:
Thresholding Bandit Problem with Both Duels and Pulls. AISTATS 2020: 2591-2600 - [c11]Yichong Xu, Ruosong Wang, Lin F. Yang, Aarti Singh, Artur Dubrawski:
Preference-based Reinforcement Learning with Finite-Time Guarantees. NeurIPS 2020 - [c10]Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski:
Zeroth Order Non-convex optimization with Dueling-Choice Bandits. UAI 2020: 899-908 - [i13]Yichong Xu, Ruosong Wang, Lin F. Yang, Aarti Singh, Artur Dubrawski:
Preference-based Reinforcement Learning with Finite-Time Guarantees. CoRR abs/2006.08910 (2020) - [i12]Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang:
Fusing Context Into Knowledge Graph for Commonsense Reasoning. CoRR abs/2012.04808 (2020)
2010 – 2019
- 2019
- [c9]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: 399-405 - [c8]Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah:
On Strategyproof Conference Peer Review. IJCAI 2019: 616-622 - [c7]Zebang Shen, Yichong Xu, Muchen Sun, Alexander Carballo, Qingguo Zhou:
3D Map Optimization with Fully Convolutional Neural Network and Dynamic Local NDT. ITSC 2019: 4404-4411 - [c6]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: 2644-2655 - [i11]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 abs/1906.04382 (2019) - [i10]Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski:
Thresholding Bandit Problem with Both Duels and Pulls. CoRR abs/1910.06368 (2019) - [i9]Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, Artur Dubrawski:
Active Learning for Graph Neural Networks via Node Feature Propagation. CoRR abs/1910.07567 (2019) - [i8]Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski:
Zeroth Order Non-convex optimization with Dueling-Choice Bandits. CoRR abs/1911.00980 (2019) - 2018
- [c5]Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski:
Interactive Linear Regression with Pairwise Comparisons. ACSSC 2018: 636-640 - [c4]Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski:
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. ICML 2018: 5469-5478 - [i7]Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski:
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. CoRR abs/1806.03286 (2018) - [i6]Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah:
On Strategyproof Conference Peer Review. CoRR abs/1806.06266 (2018) - [i5]Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao:
Multi-Task Learning for Machine Reading Comprehension. CoRR abs/1809.06963 (2018) - 2017
- [c3]Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu:
Computational Issues in Time-Inconsistent Planning. AAAI 2017: 3665-3671 - [c2]Yichong Xu, Hongyang Zhang, Aarti Singh, Artur Dubrawski, Kyle Miller:
Noise-Tolerant Interactive Learning Using Pairwise Comparisons. NIPS 2017: 2431-2440 - [i4]Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu:
Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies. CoRR abs/1711.04964 (2017) - 2015
- [c1]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: 842-850 - 2014
- [i3]Yichong Xu, Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Zheng Zhang:
Scale-Invariant Convolutional Neural Networks. CoRR abs/1411.6369 (2014) - [i2]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 abs/1411.6447 (2014) - [i1]Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu:
Settling the open problems in Kleinberg-Oren time-inconsistent planning models. CoRR abs/1411.7472 (2014)
Coauthor Index
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last updated on 2023-03-26 00:36 CET by the dblp team
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