Online Community Conflict Decomposition with Pseudo Spatial Permutation. - Yunmo Chen; Xinyue Ye (CSoNet, 2019)

NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. - Yunmo Chen; Seth Ebner; Tongfei Chen; Patrick Xia 002; Elias Stengel-Eskin; Tzu-Ray Su; J. Edward Hu; Nils Holzenberger; Ryan Culkin; Craig Harman; Max Thomas; Thomas Lippincott; et al. (TAC, 2019)

Reading the Manual: Event Extraction as Definition Comprehension. - Yunmo Chen; Tongfei Chen; Seth Ebner; Benjamin Van Durme (CoRR, 2019)

Reading the Manual: Event Extraction as Definition Comprehension. - Yunmo Chen; Tongfei Chen; Seth Ebner; Aaron Steven White; Benjamin Van Durme (SPNLP@EMNLP, 2020)

Hierarchical Entity Typing via Multi-level Learning to Rank. - Tongfei Chen; Yunmo Chen; Benjamin Van Durme (ACL, 2020)

Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems. - Yunmo Chen; Sixing Lu; Fan Yang; Xiaojiang Huang; Xing Fan; Chenlei Guo (CoRR, 2020)

LOME: Large Ontology Multilingual Extraction. - Patrick Xia 002; Guanghui Qin; Siddharth Vashishtha; Yunmo Chen; Tongfei Chen; Chandler May; Craig Harman; Kyle Rawlins; Aaron Steven White; Benjamin Van Durme (EACL (System Demonstrations), 2021)

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. - 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; et al. (EMNLP (1), 2021)

An Empirical Study on Finding Spans. - Weiwei Gu; Boyuan Zheng; Yunmo Chen; Tongfei Chen; Benjamin Van Durme (EMNLP, 2022)

Asking the Right Questions in Low Resource Template Extraction. - Nils Holzenberger; Yunmo Chen; Benjamin Van Durme (CoRR, 2022)

Iterative Document-level Information Extraction via Imitation Learning. - Yunmo Chen; William Gantt; Weiwei Gu; Tongfei Chen; Aaron Steven White; Benjamin Van Durme (EACL, 2023)

A Unified View of Evaluation Metrics for Structured Prediction. - Yunmo Chen; William Gantt; Tongfei Chen; Aaron Steven White; Benjamin Van Durme (EMNLP, 2023)

On Event Individuation for Document-Level Information Extraction. - William Gantt; Reno Kriz; Yunmo Chen; Siddharth Vashishtha; Aaron Steven White (EMNLP (Findings), 2023)

When Do Decompositions Help for Machine Reading? - Kangda Wei; Dawn J. Lawrie; Benjamin Van Durme; Yunmo Chen; Orion Weller (EMNLP, 2023)

Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. - Haoran Xu; Weiting Tan; Shuyue Stella Li; Yunmo Chen; Benjamin Van Durme; Philipp Koehn; Kenton Murray (EMNLP, 2023)

Differentiable Tree Operations Promote Compositional Generalization. - Paul Soulos; Edward J. Hu; Kate McCurdy; Yunmo Chen; Roland Fernandez; Paul Smolensky; Jianfeng Gao 001 (ICML, 2023)

FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models. - Liqiang Jing; Ruosen Li; Yunmo Chen; Mengzhao Jia; Xinya Du (CoRR, 2023)

The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts. - Lingfeng Shen; Weiting Tan; Sihao Chen; Yunmo Chen; Jingyu Zhang; Haoran Xu; Boyuan Zheng; Philipp Koehn; Daniel Khashabi (ACL (Findings), 2024)

MultiMUC: Multilingual Template Filling on MUC-4. - William Gantt; Shabnam Behzad; Hannah Youngeun An; Yunmo Chen; Aaron Steven White; Benjamin Van Durme; Mahsa Yarmohammadi (EACL (1), 2024)

Learning to Retrieve Iteratively for In-Context Learning. - Yunmo Chen; Tongfei Chen; Harsh Jhamtani; Patrick Xia 002; Richard Shin; Jason Eisner; Benjamin Van Durme (EMNLP, 2024)

FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models. - Liqiang Jing; Ruosen Li; Yunmo Chen; Xinya Du (EMNLP (Findings), 2024)

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. - Haoran Xu; Amr Sharaf; Yunmo Chen; Weiting Tan; Lingfeng Shen; Benjamin Van Durme; Kenton Murray; Young Jin Kim 001 (ICML, 2024)

Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles. - Weiting Tan; Haoran Xu; Lingfeng Shen; Shuyue Stella Li; Kenton Murray; Philipp Koehn; Benjamin Van Durme; Yunmo Chen (NAACL-HLT (Findings), 2024)

Streaming Sequence Transduction through Dynamic Compression. - Weiting Tan; Yunmo Chen; Tongfei Chen; Guanghui Qin; Haoran Xu; Heidi C. Zhang; Benjamin Van Durme; Philipp Koehn (CoRR, 2024)