Yichong Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
12
Active years
2015–2024
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACL | Small Models are Valuable Plug-ins for Large Language Models. | Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley |
| 2024 | EMNLP | 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 |
| 2024 | NAACL | 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 |
| 2023 | AAAI | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | CVPR | Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles. | Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao |
| 2023 | EMNLP | In-Context Demonstration Selection with Cross Entropy Difference. | Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu |
| 2023 | EMNLP | G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment. | Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | ICLR | 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 |
| 2023 | WSDM | Knowledge-Augmented Methods for Natural Language Processing. | Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu |
| 2022 | AAAI | DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. | Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng |
| 2022 | ACL | 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 |
| 2022 | ACL | Leveraging Knowledge in Multilingual Commonsense Reasoning. | Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng |
| 2022 | ACL | 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 |
| 2022 | ACL | 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 |
| 2022 | ACL | Knowledge-Augmented Methods for Natural Language Processing. | Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu |
| 2022 | CVPR | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | Automatic Rule Induction for Efficient Semi-Supervised Learning. | Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng |
| 2022 | EMNLP | Unsupervised Multi-Granularity Summarization. | Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han |
| 2022 | IJCAI | 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 |
| 2021 | ACL | Retrieval Enhanced Model for Commonsense Generation. | Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng |
| 2021 | ACL | Fusing Context Into Knowledge Graph for Commonsense Question Answering. | Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang |
| 2021 | EMNLP | Want To Reduce Labeling Cost? GPT-3 Can Help. | Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng |
| 2020 | AISTATS | Thresholding Bandit Problem with Both Duels and Pulls. | Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski |
| 2020 | UAI | Zeroth Order Non-convex optimization with Dueling-Choice Bandits. | Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski |
| 2019 | IJCAI | On Strategyproof Conference Peer Review. | Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah |
| 2019 | NAACL | Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension. | Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao |
| 2018 | ACSSC | Interactive Linear Regression with Pairwise Comparisons. | Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski |
| 2018 | ICML | Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. | Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski |
| 2017 | AAAI | Computational Issues in Time-Inconsistent Planning. | Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu |
| 2015 | CVPR | 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 |