Yunmo Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 35

Top Topics

Machine Translation

Top Venues

Publications

Weiting Tan, Yunmo Chen, Tongfei Chen, Guanghui Qin, Haoran Xu, Heidi C. Zhang, Benjamin Van Durme, Philipp Koehn
Streaming Sequence Transduction through Dynamic Compression. CoRR (2024)
Lingfeng Shen, Weiting Tan, Sihao Chen, Yunmo Chen, Jingyu Zhang, Haoran Xu, Boyuan Zheng, Philipp Koehn, Daniel Khashabi
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts. ACL (Findings) (2024)
William Gantt, Shabnam Behzad, Hannah Youngeun An, Yunmo Chen, Aaron Steven White, Benjamin Van Durme, Mahsa Yarmohammadi
MultiMUC: Multilingual Template Filling on MUC-4. EACL (1) (2024)
Lingfeng Shen, Weiting Tan, Sihao Chen, Yunmo Chen, Jingyu Zhang, Haoran Xu, Boyuan Zheng, Philipp Koehn, Daniel Khashabi
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts. CoRR (2024)
Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. CoRR (2024)
William Gantt, Shabnam Behzad, Hannah Youngeun An, Yunmo Chen, Aaron Steven White, Benjamin Van Durme, Mahsa Yarmohammadi
MultiMUC: Multilingual Template Filling on MUC-4. CoRR (2024)
Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme
Learning to Retrieve Iteratively for In-Context Learning. CoRR (2024)
Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme
A Unified View of Evaluation Metrics for Structured Prediction. EMNLP (2023)
William Gantt, Reno Kriz, Yunmo Chen, Siddharth Vashishtha, Aaron Steven White
On Event Individuation for Document-Level Information Extraction. EMNLP (Findings) (2023)
Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
Differentiable Tree Operations Promote Compositional Generalization. ICML (2023)
Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. EMNLP (2023)
Liqiang Jing, Ruosen Li, Yunmo Chen, Mengzhao Jia, Xinya Du
FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models. CoRR (2023)
Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme
Iterative Document-level Information Extraction via Imitation Learning. EACL (2023)
Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. CoRR (2023)
Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller
When Do Decompositions Help for Machine Reading? EMNLP (2023)
Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme
A Unified View of Evaluation Metrics for Structured Prediction. CoRR (2023)
Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
Differentiable Tree Operations Promote Compositional Generalization. CoRR (2023)
Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles. CoRR (2023)
Nils Holzenberger, Yunmo Chen, Benjamin Van Durme
Asking the Right Questions in Low Resource Template Extraction. CoRR (2022)
Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller
When Do Decompositions Help for Machine Reading? CoRR (2022)
Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme
Iterative Document-level Information Extraction via Imitation Learning. CoRR (2022)
William Gantt, Reno Kriz, Yunmo Chen, Siddharth Vashishtha, Aaron Steven White
On Event Individuation for Document-Level Information Extraction. CoRR (2022)
Weiwei Gu, Boyuan Zheng, Yunmo Chen, Tongfei Chen, Benjamin Van Durme
An Empirical Study on Finding Spans. EMNLP (2022)
Weiwei Gu, Boyuan Zheng, Yunmo Chen, Tongfei Chen, Benjamin Van Durme
An Empirical Study on Finding Spans. CoRR (2022)
Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme
LOME: Large Ontology Multilingual Extraction. CoRR (2021)
Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme
LOME: Large Ontology Multilingual Extraction. EACL (System Demonstrations) (2021)
Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. CoRR (2021)
Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. EMNLP (1) (2021)
Tongfei Chen, Yunmo Chen, Benjamin Van Durme
Hierarchical Entity Typing via Multi-level Learning to Rank. CoRR (2020)
Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, Benjamin Van Durme
Reading the Manual: Event Extraction as Definition Comprehension. SPNLP@EMNLP (2020)
Tongfei Chen, Yunmo Chen, Benjamin Van Durme
Hierarchical Entity Typing via Multi-level Learning to Rank. ACL (2020)
Yunmo Chen, Sixing Lu, Fan Yang, Xiaojiang Huang, Xing Fan, Chenlei Guo
Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems. CoRR (2020)
Yunmo Chen, Seth Ebner, Tongfei Chen, Patrick Xia, Elias Stengel-Eskin, Tzu-Ray Su, J. Edward Hu, Nils Holzenberger, Ryan Culkin, Craig Harman, Max Thomas, Thomas Lippincott, Aaron Steven White, Kyle Rawlins, Benjamin Van Durme
NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. TAC (2019)
Yunmo Chen, Tongfei Chen, Seth Ebner, Benjamin Van Durme
Reading the Manual: Event Extraction as Definition Comprehension. CoRR (2019)
Yunmo Chen, Xinyue Ye
Online Community Conflict Decomposition with Pseudo Spatial Permutation. CSoNet (2019)