Yichong Xu

According to our database, Yichong Xu authored at least 57 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Knowledge-augmented Methods for Natural Language Processing

Meng Jiang, Bill Yuchen Lin, Shuohang Wang, Yichong Xu, Wenhao Yu, Chenguang Zhu

Springer Briefs in Computer Science, Springer, ISBN: 978-981-97-0749-2, 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, 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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Small Models are Valuable Plug-ins for Large Language Models.

Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

i-Code Studio: A Configurable and Composable Framework for Integrative AI.

Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang

CoRR, 2023

LMGQS: A Large-scale Dataset for Query-focused Summarization.

Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng

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, 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

CoRR, 2023

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu

CoRR, 2023

Knowledge-Augmented Methods for Natural Language Processing.

Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Sparse Modular Activation for Efficient Sequence Modeling.

Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generate rather than Retrieve: Large Language Models are Strong Context Generators.

Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.

Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT.

Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LMGQS: A Large-scale Dataset for Query-focused Summarization.

Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment.

Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

In-Context Demonstration Selection with Cross Entropy Difference.

Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles.

Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning.

Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning.

Yongfeng Huang, Yanyang Li, Yichong Xu, Lin Zhang, Ruyi Gan, Jiaxing Zhang, Liwei Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

i-Code: An Integrative and Composable Multimodal Learning Framework.

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Integrating Rankings into Quantized Scores in Peer Review.

Yusha Liu, Yichong Xu, Nihar B. Shah, Aarti Singh

Trans. Mach. Learn. Res., 2022

Empowering Language Models with Knowledge Graph Reasoning for Question Answering.

Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun

CoRR, 2022

Unsupervised Summarization with Customized Granularities.

Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han

CoRR, 2022

REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering.

Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention.

Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Unsupervised Multi-Granularity Summarization.

Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Automatic Rule Induction for Efficient Semi-Supervised Learning.

Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering.

Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Task Compass: Scaling Multi-task Pre-training with Task Prefix.

Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 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, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering.

Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Leveraging Knowledge in Multilingual Commonsense Reasoning.

Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Dict-BERT: Enhancing Language Model Pre-training with Dictionary.

Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization.

Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning and Decision Making from Diverse Forms of Information.

Yichong Xu

PhD thesis, 2021

Want To Reduce Labeling Cost? GPT-3 Can Help.

Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Fusing Context Into Knowledge Graph for Commonsense Question Answering.

Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Retrieval Enhanced Model for Commonsense Generation.

Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

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

Fusing Context Into Knowledge Graph for Commonsense Reasoning.

Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang

CoRR, 2020

Zeroth Order Non-convex optimization with Dueling-Choice Bandits.

Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Preference-based Reinforcement Learning with Finite-Time Guarantees.

Yichong Xu, Ruosong Wang, Lin F. Yang, Aarti Singh, Artur Dubrawski

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Thresholding Bandit Problem with Both Duels and Pulls.

Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Active Learning for Graph Neural Networks via Node Feature Propagation.

Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, Artur Dubrawski

CoRR, 2019

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension.

Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

3D Map Optimization with Fully Convolutional Neural Network and Dynamic Local NDT.

Zebang Shen, Yichong Xu, Muchen Sun, Alexander Carballo, Qingguo Zhou

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

On Strategyproof Conference Peer Review.

Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain.

Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao

Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

2018

Multi-Task Learning for Machine Reading Comprehension.

Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao

CoRR, 2018

Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information.

Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski

Proceedings of the 35th International Conference on Machine Learning, 2018

Interactive Linear Regression with Pairwise Comparisons.

Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies.

Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu

CoRR, 2017

Noise-Tolerant Interactive Learning Using Pairwise Comparisons.

Yichong Xu, Hongyang Zhang, Aarti Singh, Artur Dubrawski, Kyle Miller

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Computational Issues in Time-Inconsistent Planning.

Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Scale-Invariant Convolutional Neural Networks.

Yichong Xu, Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Zheng Zhang

CoRR, 2014

Settling the open problems in Kleinberg-Oren time-inconsistent planning models.

Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu

CoRR, 2014