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2020 – today
- 2024
[c29]Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun:
SciAgent: Tool-augmented Language Models for Scientific Reasoning. EMNLP 2024: 15701-15736- [c28]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 - [c27]Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie:
Dynamic Evaluation of Large Language Models by Meta Probing Agents. ICML 2024 - [c26]Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen:
Language Models can be Deductive Solvers. NAACL-HLT (Findings) 2024: 4026-4042 - [i30]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 abs/2402.11451 (2024) - [i29]Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie:
DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents. CoRR abs/2402.14865 (2024) - [i28]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 abs/2403.05266 (2024) - [i27]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 abs/2404.07965 (2024) - [i26]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 abs/2406.11354 (2024) - [i25]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 abs/2407.04923 (2024) - 2023
- [c25]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: 5095-5112 - [c24]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: 12833-12855 - [c23]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: 1150-1162 - [c22]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: 2511-2522 - [c21]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: 13879-13892 - [c20]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: 14764-14776 - [i24]Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu:
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment. CoRR abs/2303.16634 (2023) - [i23]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 abs/2305.13083 (2023) - [i22]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 abs/2305.13086 (2023) - [i21]Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu:
In-Context Demonstration Selection with Cross Entropy Difference. CoRR abs/2305.14726 (2023) - [i20]Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen:
Language Models can be Logical Solvers. CoRR abs/2311.06158 (2023) - [i19]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 abs/2312.15918 (2023) - 2022
- [c19]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 - [c18]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 - [c17]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: 16399-16408 - [c16]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: 69-87 - [c15]Ruochen Xu, Chenguang Zhu, Michael Zeng:
Narrate Dialogues for Better Summarization. EMNLP (Findings) 2022: 3565-3575 - [c14]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: 7111-7122 - [c13]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 - [i18]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 abs/2201.05078 (2022) - [i17]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) - [i16]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 abs/2205.10747 (2022) - [i15]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 abs/2207.12661 (2022) - [i14]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 abs/2208.09770 (2022) - [i13]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 abs/2211.09783 (2022) - 2021
- [j2]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): 5535-5554 (2021) - [c12]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 - [c11]Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang:
Enhancing Factual Consistency of Abstractive Summarization. NAACL-HLT 2021: 718-733 - [i12]Ruochen Xu, Yuwei Fang, Chenguang Zhu, Michael Zeng:
Does Knowledge Help General NLU? An Empirical Study. CoRR abs/2109.00563 (2021) - [i11]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) - 2020
- [c10]Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig:
Predicting Performance for Natural Language Processing Tasks. ACL 2020: 8625-8646 - [c9]Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang:
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining. EMNLP (Findings) 2020: 194-203 - [c8]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 - [c7]Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang:
Mixed-Lingual Pre-training for Cross-lingual Summarization. AACL/IJCNLP 2020: 536-541 - [i10]Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang:
Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph. CoRR abs/2003.08612 (2020) - [i9]Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang:
End-to-End Abstractive Summarization for Meetings. CoRR abs/2004.02016 (2020) - [i8]Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig:
Predicting Performance for Natural Language Processing Tasks. CoRR abs/2005.00870 (2020) - [i7]Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang:
Mixed-Lingual Pre-training for Cross-lingual Summarization. CoRR abs/2010.08892 (2020) - [i6]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
- [i5]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:
The ARIEL-CMU Systems for LoReHLT18. CoRR abs/1902.08899 (2019) - [i4]Ruochen Xu, Tao Ge, Furu Wei:
Formality Style Transfer with Hybrid Textual Annotations. CoRR abs/1903.06353 (2019) - [i3]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 abs/1910.04708 (2019) - 2018
- [j1]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): 105-126 (2018) - [c6]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: 70-82 - [c5]Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu:
Unsupervised Cross-lingual Transfer of Word Embedding Spaces. EMNLP 2018: 2465-2474 - [i2]Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu:
Unsupervised Cross-lingual Transfer of Word Embedding Spaces. CoRR abs/1809.03633 (2018) - 2017
- [c4]Ruochen Xu, Yiming Yang:
Cross-lingual Distillation for Text Classification. ACL (1) 2017: 1415-1425 - [c3]Ian Gorton, Ruochen Xu, Yiming Yang, Hanxiao Liu, Guoqing Zheng:
Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases. ICSA 2017: 79-88 - [i1]Ruochen Xu, Yiming Yang:
Cross-lingual Distillation for Text Classification. CoRR abs/1705.02073 (2017) - 2016
- [c2]Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew Hsi:
Cross-lingual Text Classification via Model Translation with Limited Dictionaries. CIKM 2016: 95-104 - [c1]Andrew Hsi, Yiming Yang, Jaime G. Carbonell, Ruochen Xu:
Leveraging Multilingual Training for Limited Resource Event Extraction. COLING 2016: 1201-1210
Coauthor Index
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