Ruochen Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
11
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICML | Dynamic Evaluation of Large Language Models by Meta Probing Agents. | Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie |
| 2024 | NAACL | Language Models can be Deductive Solvers. | Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 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 |
| 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 | CVPR | 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 |
| 2022 | ECCV | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | Narrate Dialogues for Better Summarization. | Ruochen Xu, Chenguang Zhu, 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 | NAACL | Enhancing Factual Consistency of Abstractive Summarization. | Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang |
| 2020 | ACL | Predicting Performance for Natural Language Processing Tasks. | Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig |
| 2020 | EMNLP | A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining. | Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang |
| 2020 | ICLR | 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 |
| 2020 | IJCNLP | Mixed-Lingual Pre-training for Cross-lingual Summarization. | Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang |
| 2018 | COLING | 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 |
| 2018 | EMNLP | Unsupervised Cross-lingual Transfer of Word Embedding Spaces. | Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu |
| 2017 | ACL | Cross-lingual Distillation for Text Classification. | Ruochen Xu, Yiming Yang |
| 2017 | ICSA | Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases. | Ian Gorton, Ruochen Xu, Yiming Yang, Hanxiao Liu, Guoqing Zheng |
| 2016 | CIKM | Cross-lingual Text Classification via Model Translation with Limited Dictionaries. | Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew Hsi |
| 2016 | COLING | Leveraging Multilingual Training for Limited Resource Event Extraction. | Andrew Hsi, Yiming Yang, Jaime G. Carbonell, Ruochen Xu |