Cross-lingual Text Classification via Model Translation with Limited Dictionaries. - Ruochen Xu; Yiming Yang; Hanxiao Liu; Andrew Hsi (CIKM, 2016)

Leveraging Multilingual Training for Limited Resource Event Extraction. - Andrew Hsi; Yiming Yang; Jaime G. Carbonell; Ruochen Xu (COLING, 2016)

Cross-lingual Distillation for Text Classification. - Ruochen Xu; Yiming Yang (ACL (1), 2017)

Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases. - Ian Gorton; Ruochen Xu; Yiming Yang; Hanxiao Liu; Guoqing Zheng (ICSA, 2017)

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 (COLING, 2018)

Unsupervised Cross-lingual Transfer of Word Embedding Spaces. - Ruochen Xu; Yiming Yang; Naoki Otani; Yuexin Wu (EMNLP, 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; et al. (Mach. Transl., 2018)

The ARIEL-CMU Systems for LoReHLT18. - Aditi Chaudhary; Siddharth Dalmia; Junjie Hu 001; Xinjian Li; Austin Matthews; Aldrian Obaja Muis; Naoki Otani; Shruti Rijhwani; Zaid Sheikh; Nidhi Vyas; Xinyi Wang 001; Jiateng Xie; et al. (CoRR, 2019)

Formality Style Transfer with Hybrid Textual Annotations. - Ruochen Xu; Tao Ge 001; Furu Wei (CoRR, 2019)

Predicting Performance for Natural Language Processing Tasks. - Mengzhou Xia; Antonios Anastasopoulos; Ruochen Xu; Yiming Yang; Graham Neubig (ACL, 2020)

A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining. - Chenguang Zhu 001; Ruochen Xu; Michael Zeng 001; Xuedong Huang 001 (EMNLP (Findings), 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 (ICLR, 2020)

Mixed-Lingual Pre-training for Cross-lingual Summarization. - Ruochen Xu; Chenguang Zhu 001; Yu Shi 001; Michael Zeng 001; Xuedong Huang 001 (AACL/IJCNLP, 2020)

Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph. - Chenguang Zhu 001; William Hinthorn; Ruochen Xu; Qingkai Zeng 001; Michael Zeng 001; Xuedong Huang 001; Meng Jiang 001 (CoRR, 2020)

End-to-End Abstractive Summarization for Meetings. - Chenguang Zhu 001; Ruochen Xu; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2020)

Fusing Context Into Knowledge Graph for Commonsense Reasoning. - Yichong Xu; Chenguang Zhu 001; Ruochen Xu; Yang Liu 124; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2020)

Fusing Context Into Knowledge Graph for Commonsense Question Answering. - Yichong Xu; Chenguang Zhu 001; Ruochen Xu; Yang Liu 124; Michael Zeng 001; Xuedong Huang 001 (ACL/IJCNLP (Findings), 2021)

Enhancing Factual Consistency of Abstractive Summarization. - Chenguang Zhu 001; William Hinthorn; Ruochen Xu; Qingkai Zeng 001; Michael Zeng 001; Xuedong Huang 001; Meng Jiang 001 (NAACL-HLT, 2021)

Does Knowledge Help General NLU? An Empirical Study. - Ruochen Xu; Yuwei Fang; Chenguang Zhu 001; Michael Zeng 001 (CoRR, 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)

Leveraging Knowledge in Multilingual Commonsense Reasoning. - Yuwei Fang; Shuohang Wang; Yichong Xu; Ruochen Xu; Siqi Sun; Chenguang Zhu 001; Michael Zeng 001 (ACL (Findings), 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 124; Siqi Sun; Ruochen Xu; Chenguang Zhu 001; Michael Zeng 001 (ACL (1), 2022)

CLIP-Event: Connecting Text and Images with Event Structures. - Manling Li; Ruochen Xu; Shuohang Wang; Luowei Zhou; Xudong Lin 003; Chenguang Zhu 001; Michael Zeng 001; Heng Ji 001; Shih-Fu Chang (CVPR, 2022)

Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. - Haoxuan You; Luowei Zhou; Bin Xiao 004; Noel Codella; Yu Cheng 001; Ruochen Xu; Shih-Fu Chang; Lu Yuan (ECCV (27), 2022)

ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation. - Shuohang Wang; Ruochen Xu; Yang Liu 124; Chenguang Zhu 001; Michael Zeng 001 (EMNLP, 2022)

Narrate Dialogues for Better Summarization. - Ruochen Xu; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2022)

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. - Zhenhailong Wang; Manling Li; Ruochen Xu; Luowei Zhou; Jie Lei 003; Xudong Lin 003; Shuohang Wang; Ziyi Yang; Chenguang Zhu 001; Derek Hoiem; Shih-Fu Chang; Mohit Bansal; et al. (NeurIPS, 2022)

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. - Pengcheng He; Baolin Peng; Liyang Lu; Song Wang 012; Jie Mei; Yang Liu 124; Ruochen Xu; Hany Hassan Awadalla; Yu Shi 001; Chenguang Zhu 001; Wayne Xiong; Michael Zeng 001; et al. (CoRR, 2022)

UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning. - Yulong Chen 001; Yang Liu 124; Ruochen Xu; Ziyi Yang; Chenguang Zhu 001; Michael Zeng 001; Yue Zhang 004 (CoRR, 2022)

UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization. - Yulong Chen 001; Yang Liu 124; Ruochen Xu; Ziyi Yang; Chenguang Zhu 001; Michael Zeng 001; Yue Zhang 004 (ACL (1), 2023)

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. - Pengcheng He; Baolin Peng; Song Wang 012; Yang Liu 124; Ruochen Xu; Hany Hassan; Yu Shi 001; Chenguang Zhu 001; Wayne Xiong; Michael Zeng 001; Jianfeng Gao 001; Xuedong Huang 001 (ACL (1), 2023)

In-Context Demonstration Selection with Cross Entropy Difference. - Dan Iter; Reid Pryzant; Ruochen Xu; Shuohang Wang; Yang Liu; Yichong Xu; Chenguang Zhu 001 (EMNLP (Findings), 2023)

G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment. - Yang Liu; Dan Iter; Yichong Xu; Shuohang Wang; Ruochen Xu; Chenguang Zhu (EMNLP, 2023)

LMGQS: A Large-scale Dataset for Query-focused Summarization. - Ruochen Xu; Song Wang 012; Yang Liu 124; Shuohang Wang; Yichong Xu; Dan Iter; Pengcheng He; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2023)

InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. - Yichong Xu; Ruochen Xu; Dan Iter; Yang Liu 124; Shuohang Wang; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2023)

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment. - Yang Liu 124; Dan Iter; Yichong Xu; Shuohang Wang; Ruochen Xu; Chenguang Zhu 001 (CoRR, 2023)

LMGQS: A Large-scale Dataset for Query-focused Summarization. - Ruochen Xu; Song Wang 012; Yang Liu 124; Shuohang Wang; Yichong Xu; Dan Iter; Chenguang Zhu 001; Michael Zeng 001 (CoRR, 2023)

Language Models can be Logical Solvers. - Jiazhan Feng; Ruochen Xu; Junheng Hao; Hiteshi Sharma; Yelong Shen; Dongyan Zhao 001; Weizhu Chen (CoRR, 2023)

SciAgent: Tool-augmented Language Models for Scientific Reasoning. - Yubo Ma; Zhibin Gou; Junheng Hao; Ruochen Xu; Shuohang Wang; Liangming Pan; Yujiu Yang; Yixin Cao 002; Aixin Sun (EMNLP, 2024)

Supervised Knowledge Makes Large Language Models Better In-context Learners. - Linyi Yang; Shuibai Zhang; Zhuohao Yu 001; Guangsheng Bao; Yidong Wang; Jindong Wang 001; Ruochen Xu; Wei Ye 004; Xing Xie 001; Weizhu Chen; Yue Zhang 004 (ICLR, 2024)

Dynamic Evaluation of Large Language Models by Meta Probing Agents. - Kaijie Zhu; Jindong Wang 001; Qinlin Zhao; Ruochen Xu; Xing Xie 001 (ICML, 2024)

Language Models can be Deductive Solvers. - Jiazhan Feng; Ruochen Xu; Junheng Hao; Hiteshi Sharma; Yelong Shen; Dongyan Zhao 001; Weizhu Chen (NAACL-HLT (Findings), 2024)

Not All Tokens Are What You Need for Pretraining. - Zhenghao Lin; Zhibin Gou; Yeyun Gong; Xiao Liu 029; Yelong Shen; Ruochen Xu; Chen Lin 001; Yujiu Yang; Jian Jiao 007; Nan Duan; Weizhu Chen (NeurIPS, 2024)

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models. - Jio Oh; Soyeon Kim 001; Junseok Seo; Jindong Wang 001; Ruochen Xu; Xing Xie 001; Steven Whang 001 (NeurIPS, 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 002; Aixin Sun; Hany Hassan Awadalla; Weizhu Chen (CoRR, 2024)

DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents. - Kaijie Zhu; Jindong Wang 001; Qinlin Zhao; Ruochen Xu; Xing Xie 001 (CoRR, 2024)

Rho-1: Not All Tokens Are What You Need. - Zhenghao Lin; Zhibin Gou; Yeyun Gong; Xiao Liu 029; Yelong Shen; Ruochen Xu; Chen Lin 001; Yujiu Yang; Jian Jiao 007; Nan Duan; Weizhu Chen (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)

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)

ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration. - Haozhan Shen; Kangjia Zhao; Tiancheng Zhao; Ruochen Xu; Zilun Zhang; Mingwei Zhu; Jianwei Yin (CoRR, 2024)

The Self-Improvement Paradox: Can Language Models Bootstrap Reasoning Capabilities without External Scaffolding? - Yutao Sun; Mingshuai Chen; Tiancheng Zhao; Ruochen Xu; Zilun Zhang; Jianwei Yin (ACL (Findings), 2025)

Grasping by Spiraling: Reproducing Elephant Movements with Rigid-Soft Robot Synergy. - Huishi Huang; Haozhe Wang 003; Chongyu Fang; Mingge Yan; Ruochen Xu; Yiyuan Zhang; Zhanchi Wang; Fengkang Ying; Jun Liu; Cecilia Laschi; Marcelo H. Ang Jr (CoRR, 2025)

VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model. - Haozhan Shen; Peng Liu; Jingcheng Li; Chunxin Fang; Yibo Ma; Jiajia Liao; Qiaoli Shen; Zilun Zhang; Kangjia Zhao; Qianqian Zhang; Ruochen Xu; Tiancheng Zhao (CoRR, 2025)

Unifying Language Agent Algorithms with Graph-based Orchestration Engine for Reproducible Agent Research. - Qianqian Zhang; Jiajia Liao; Heting Ying; Yibo Ma; Haozhan Shen; Jingcheng Li; Peng Liu; Lu Zhang; Chunxin Fang; Kyusong Lee; Ruochen Xu; Tiancheng Zhao (CoRR, 2025)