Ruochen Xu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 58

Top Topics

Event Extraction

Top Venues

EMNLP (Findings)

Publications

Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
Supervised Knowledge Makes Large Language Models Better In-context Learners. ICLR (2024)
Zilun Zhang, Yutao Sun, Tiancheng Zhao, Leigang Sha, Ruochen Xu, Kyusong Lee, Jianwei Yin
Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression. CoRR (2024)
Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie
DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents. CoRR (2024)
Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models. CoRR (2024)
Tiancheng Zhao, Qianqian Zhang, Kyusong Lee, Peng Liu, Lu Zhang, Chunxin Fang, Jiajia Liao, Kelei Jiang, Yibo Ma, Ruochen Xu
OmChat: A Recipe to Train Multimodal Language Models with Strong Long Context and Video Understanding. CoRR (2024)
Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun, Hany Hassan Awadalla, Weizhu Chen
SciAgent: Tool-augmented Language Models for Scientific Reasoning. CoRR (2024)
Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen
Rho-1: Not All Tokens Are What You Need. CoRR (2024)
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)
Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. ACL (1) (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)
Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen
Language Models can be Logical Solvers. CoRR (2023)
Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang
UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization. ACL (1) (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)
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)
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
Supervised Knowledge Makes Large Language Models Better In-context Learners. CoRR (2023)
Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. CoRR (2022)
Ruochen Xu, Chenguang Zhu, Michael Zeng
Narrate Dialogues for Better Summarization. EMNLP (Findings) (2022)
Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. ECCV (27) (2022)
Shuohang Wang, Ruochen Xu, Yang Liu, Chenguang Zhu, Michael Zeng
ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation. EMNLP (2022)
Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng
Leveraging Knowledge in Multilingual Commonsense Reasoning. ACL (Findings) (2022)
Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. CoRR (2022)
Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang
CLIP-Event: Connecting Text and Images with Event Structures. 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. 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)
Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. NeurIPS (2022)
Pengcheng He, Baolin Peng, Liyang Lu, Song Wang, Jie Mei, Yang Liu, Ruochen Xu, Hany Hassan Awadalla, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. CoRR (2022)
Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang
UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning. CoRR (2022)
Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang
CLIP-Event: Connecting Text and Images with Event Structures. CVPR (2022)
Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng
Leveraging Knowledge in Multilingual Commonsense Reasoning. CoRR (2021)
Ruochen Xu, Yuwei Fang, Chenguang Zhu, Michael Zeng
Does Knowledge Help General NLU? An Empirical Study. CoRR (2021)
Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang
Enhancing Factual Consistency of Abstractive Summarization. NAACL-HLT (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)
Renxin Zhong, Ruochen Xu, Agachai Sumalee, Shiqi Ou, Zhibin Chen
Pricing Environmental Externality in Traffic Networks Mixed With Fuel Vehicles and Electric Vehicles. IEEE Trans. Intell. Transp. Syst. 22 (9) (2021)
Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig
Predicting Performance for Natural Language Processing Tasks. ACL (2020)
Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang
End-to-End Abstractive Summarization for Meetings. CoRR (2020)
Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig
Predicting Performance for Natural Language Processing Tasks. CoRR (2020)
Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. ICLR (2020)
Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang
Mixed-Lingual Pre-training for Cross-lingual Summarization. CoRR (2020)
Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining. EMNLP (Findings) (2020)
Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang
Fusing Context Into Knowledge Graph for Commonsense Reasoning. CoRR (2020)
Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang
Mixed-Lingual Pre-training for Cross-lingual Summarization. AACL/IJCNLP (2020)
Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang
Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph. CoRR (2020)
Ruochen Xu, Tao Ge, Furu Wei
Formality Style Transfer with Hybrid Textual Annotations. CoRR (2019)
Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. CoRR (2019)
Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori S. Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard H. Hovy, Alan W. Black, Jaime G. Carbonell, Graham Horwood, Shabnam Tafreshi, Mona T. Diab, Efsun Sarioglu, Noura Farra, Kathleen R. McKeown
The ARIEL-CMU Systems for LoReHLT18. CoRR (2019)
Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu
Unsupervised Cross-lingual Transfer of Word Embedding Spaces. CoRR (2018)
Patrick Littell, Tian Tian, Ruochen Xu, Zaid Sheikh, David R. Mortensen, Lori S. Levin, Francis M. Tyers, Hiroaki Hayashi, Graham Horwood, Steve Sloto, Emily Tagtow, Alan W. Black, Yiming Yang, Teruko Mitamura, Eduard H. Hovy
The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach. Mach. Transl. 32 (1-2) (2018)
Aldrian Obaja Muis, Naoki Otani, Nidhi Vyas, Ruochen Xu, Yiming Yang, Teruko Mitamura, Eduard H. Hovy
Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort. COLING (2018)
Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu
Unsupervised Cross-lingual Transfer of Word Embedding Spaces. EMNLP (2018)
Ruochen Xu, Yiming Yang
Cross-lingual Distillation for Text Classification. CoRR (2017)
Ruochen Xu, Yiming Yang
Cross-lingual Distillation for Text Classification. ACL (1) (2017)
Ian Gorton, Ruochen Xu, Yiming Yang, Hanxiao Liu, Guoqing Zheng
Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases. ICSA (2017)
Andrew Hsi, Yiming Yang, Jaime G. Carbonell, Ruochen Xu
Leveraging Multilingual Training for Limited Resource Event Extraction. COLING (2016)
Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew Hsi
Cross-lingual Text Classification via Model Translation with Limited Dictionaries. CIKM (2016)