Ruochen Xu

According to our database, Ruochen Xu authored at least 47 papers between 2016 and 2024.

Collaborative distances:

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

2024

OmChat: A Recipe to Train Multimodal Language Models with Strong Long Context and Video Understanding.

Tiancheng Zhao, Qianqian Zhang, Kyusong Lee, Peng Liu, Lu Zhang, Chunxin Fang, Jiajia Liao, Kelei Jiang, Yibo Ma, Ruochen Xu

CoRR, 2024

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression.

Zilun Zhang, Yutao Sun, Tiancheng Zhao, Leigang Sha, Ruochen Xu, Kyusong Lee, Jianwei Yin

CoRR, 2024

Rho-1: Not All Tokens Are What You Need.

Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen

CoRR, 2024

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models.

Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang

CoRR, 2024

DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents.

Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie

CoRR, 2024

SciAgent: Tool-augmented Language Models for Scientific Reasoning.

Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun, Hany Hassan Awadalla, Weizhu Chen

CoRR, 2024

Language Models can be Deductive Solvers.

Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen

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

Dynamic Evaluation of Large Language Models by Meta Probing Agents.

Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Supervised Knowledge Makes Large Language Models Better In-context Learners.

Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Language Models can be Logical Solvers.

Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen

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

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

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

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization.

Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang

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

UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization.

Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang

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

2022

UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning.

Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang

CoRR, 2022

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization.

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

CoRR, 2022

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners.

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

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

Narrate Dialogues for Better Summarization.

Ruochen Xu, Chenguang Zhu, Michael Zeng

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

ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation.

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

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

Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training.

Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan

Proceedings of the Computer Vision - ECCV 2022, 2022

CLIP-Event: Connecting Text and Images with Event Structures.

Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang

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

2021

Pricing Environmental Externality in Traffic Networks Mixed With Fuel Vehicles and Electric Vehicles.

Renxin Zhong, Ruochen Xu, Agachai Sumalee, Shiqi Ou, Zhibin Chen

IEEE Trans. Intell. Transp. Syst., 2021

Does Knowledge Help General NLU? An Empirical Study.

Ruochen Xu, Yuwei Fang, Chenguang Zhu, Michael Zeng

CoRR, 2021

Enhancing Factual Consistency of Abstractive Summarization.

Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

2020

Fusing Context Into Knowledge Graph for Commonsense Reasoning.

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

CoRR, 2020

End-to-End Abstractive Summarization for Meetings.

Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang

CoRR, 2020

Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph.

Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang

CoRR, 2020

Mixed-Lingual Pre-training for Cross-lingual Summarization.

Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework.

Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell

Proceedings of the 8th International Conference on Learning Representations, 2020

A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining.

Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Predicting Performance for Natural Language Processing Tasks.

Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Formality Style Transfer with Hybrid Textual Annotations.

Ruochen Xu, Tao Ge, Furu Wei

CoRR, 2019

The ARIEL-CMU Systems for LoReHLT18.

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 Kayi, Noura Farra, Kathleen R. McKeown

CoRR, 2019

2018

The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach.

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

Mach. Transl., 2018

Unsupervised Cross-lingual Transfer of Word Embedding Spaces.

Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort.

Aldrian Obaja Muis, Naoki Otani, Nidhi Vyas, Ruochen Xu, Yiming Yang, Teruko Mitamura, Eduard H. Hovy

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases.

Ian Gorton, Ruochen Xu, Yiming Yang, Hanxiao Liu, Guoqing Zheng

Proceedings of the 2017 IEEE International Conference on Software Architecture, 2017

Cross-lingual Distillation for Text Classification.

Ruochen Xu, Yiming Yang

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Leveraging Multilingual Training for Limited Resource Event Extraction.

Andrew Hsi, Yiming Yang, Jaime G. Carbonell, Ruochen Xu

Proceedings of the COLING 2016, 2016

Cross-lingual Text Classification via Model Translation with Limited Dictionaries.

Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew Hsi

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016