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Yunmo Chen
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2020 – today
- 2024
- [c14]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: 2668-2680 - [c13]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: 349-368 - [i21]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 abs/2401.08417 (2024) - [i20]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 abs/2401.13136 (2024) - [i19]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 abs/2401.16209 (2024) - [i18]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 abs/2402.01172 (2024) - [i17]Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme:
Learning to Retrieve Iteratively for In-Context Learning. CoRR abs/2406.14739 (2024) - 2023
- [c12]Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
Iterative Document-level Information Extraction via Imitation Learning. EACL 2023: 1850-1866 - [c11]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: 1575-1587 - [c10]Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller:
When Do Decompositions Help for Machine Reading? EMNLP 2023: 3599-3606 - [c9]Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
A Unified View of Evaluation Metrics for Structured Prediction. EMNLP 2023: 12868-12882 - [c8]William Gantt, Reno Kriz, Yunmo Chen, Siddharth Vashishtha, Aaron Steven White:
On Event Individuation for Document-Level Information Extraction. EMNLP (Findings) 2023: 12938-12958 - [c7]Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao:
Differentiable Tree Operations Promote Compositional Generalization. ICML 2023: 32499-32520 - [i16]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 abs/2305.13993 (2023) - [i15]Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao:
Differentiable Tree Operations Promote Compositional Generalization. CoRR abs/2306.00751 (2023) - [i14]Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
A Unified View of Evaluation Metrics for Structured Prediction. CoRR abs/2310.13793 (2023) - [i13]Liqiang Jing, Ruosen Li, Yunmo Chen, Mengzhao Jia, Xinya Du:
FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models. CoRR abs/2311.01477 (2023) - [i12]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 abs/2311.02310 (2023) - 2022
- [c6]Weiwei Gu, Boyuan Zheng, Yunmo Chen, Tongfei Chen, Benjamin Van Durme:
An Empirical Study on Finding Spans. EMNLP 2022: 3976-3983 - [i11]Nils Holzenberger, Yunmo Chen, Benjamin Van Durme:
Asking the Right Questions in Low Resource Template Extraction. CoRR abs/2205.12643 (2022) - [i10]Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
Iterative Document-level Information Extraction via Imitation Learning. CoRR abs/2210.06600 (2022) - [i9]Weiwei Gu, Boyuan Zheng, Yunmo Chen, Tongfei Chen, Benjamin Van Durme:
An Empirical Study on Finding Spans. CoRR abs/2210.06824 (2022) - [i8]William Gantt, Reno Kriz, Yunmo Chen, Siddharth Vashishtha, Aaron Steven White:
On Event Individuation for Document-Level Information Extraction. CoRR abs/2212.09702 (2022) - [i7]Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller:
When Do Decompositions Help for Machine Reading? CoRR abs/2212.10019 (2022) - 2021
- [c5]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: 149-159 - [c4]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: 1950-1967 - [i6]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 abs/2101.12175 (2021) - [i5]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 abs/2109.06798 (2021) - 2020
- [c3]Tongfei Chen, Yunmo Chen, Benjamin Van Durme:
Hierarchical Entity Typing via Multi-level Learning to Rank. ACL 2020: 8465-8475 - [c2]Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, Benjamin Van Durme:
Reading the Manual: Event Extraction as Definition Comprehension. SPNLP@EMNLP 2020: 74-83 - [i4]Tongfei Chen, Yunmo Chen, Benjamin Van Durme:
Hierarchical Entity Typing via Multi-level Learning to Rank. CoRR abs/2004.02286 (2020) - [i3]Yunmo Chen, Sixing Lu, Fan Yang, Xiaojiang Huang, Xing Fan, Chenlei Guo:
Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems. CoRR abs/2012.11468 (2020)
2010 – 2019
- 2019
- [c1]Yunmo Chen, Xinyue Ye
:
Online Community Conflict Decomposition with Pseudo Spatial Permutation. CSoNet 2019: 246-255 - [i2]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 - [i1]Yunmo Chen, Tongfei Chen, Seth Ebner, Benjamin Van Durme:
Reading the Manual: Event Extraction as Definition Comprehension. CoRR abs/1912.01586 (2019)
Coauthor Index
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last updated on 2024-08-23 19:27 CEST by the dblp team
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