| Contrastive preference optimization: Pushing the boundaries of llm performance in machine translation H Xu, A Sharaf, Y Chen, W Tan, L Shen, B Van Durme, K Murray, YJ Kim ICML 2024, 2024 | 125 | 2024 |
| Reading the Manual: Event Extraction as Definition Comprehension Y Chen, T Chen, S Ebner, AS White, B Van Durme SPNLP@EMNLP 2020, 2020 | 74 | 2020 |
| FaithScore: Evaluating Hallucinations in Large Vision-Language Models L Jing, R Li, Y Chen, M Jia, X Du EMNLP 2024, 2023 | 52 | 2023 |
| Hierarchical Entity Typing via Multi-level Learning to Rank T Chen, Y Chen, B Van Durme ACL 2020, 8465, 2020 | 48 | 2020 |
| LOME: Large ontology multilingual extraction P Xia, G Qin, S Vashishtha, Y Chen, T Chen, C May, C Harman, ... EACL 2021, 2021 | 45 | 2021 |
| The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts L Shen, W Tan, S Chen, Y Chen, J Zhang, H Xu, B Zheng, P Koehn, ... ACL 2024, 2024 | 43 | 2024 |
| Everything is all it takes: A multipronged strategy for zero-shot cross-lingual information extraction M Yarmohammadi, S Wu, M Marone, H Xu, S Ebner, G Qin, Y Chen, ... EMNLP 2021, 2021 | 37 | 2021 |
| Joint modeling of arguments for event understanding Y Chen, T Chen, B Van Durme CODI@EMNLP 2020, 96-101, 2020 | 17 | 2020 |
| Iterative Document-level Information Extraction via Imitation Learning Y Chen, W Gantt, W Gu, T Chen, AS White, B Van Durme EACL 2023 (outstanding paper award), 2023 | 12 | 2023 |
| Differentiable Tree Operations Promote Compositional Generalization P Soulos, E Hu, K McCurdy, Y Chen, R Fernandez, P Smolensky, J Gao ICML 2023, 2023 | 9 | 2023 |
| On Event Individuation for Document-Level Information Extraction W Gantt, R Kriz, Y Chen, S Vashishtha, AS White EMNLP 2023, 2023 | 6 | 2023 |
| A Unified View of Evaluation Metrics for Structured Prediction Y Chen, W Gantt, T Chen, AS White, B Van Durme EMNLP 2023, 2023 | 5 | 2023 |
| Narrowing the Gap between Zero-and Few-shot Machine Translation by Matching Styles W Tan, H Xu, L Shen, SS Li, K Murray, P Koehn, B Van Durme, Y Chen NAACL 2024, 2023 | 4 | 2023 |
| An Empirical Study on Finding Spans W Gu, B Zheng, Y Chen, T Chen, B Van Durme EMNLP 2022, 2022 | 4 | 2022 |
| Learning to Retrieve Iteratively for In-Context Learning Y Chen, T Chen, H Jhamtani, P Xia, R Shin, J Eisner, B Van Durme EMNLP 2024 (outstanding paper award), 2024 | 3 | 2024 |
| MultiMUC: Multilingual Template Filling on MUC-4 W Gantt, S Behzad, HYE An, Y Chen, AS White, B Van Durme, ... EACL 2024, 2024 | 3 | 2024 |
| Condensing Multilingual Knowledge with Lightweight Language-Specific Modules H Xu, W Tan, SS Li, Y Chen, B Van Durme, P Koehn, K Murray EMNLP 2023, 2023 | 3 | 2023 |
| When Do Decompositions Help for Machine Reading? K Wei, D Lawrie, B Van Durme, Y Chen, O Weller EMNLP 2023, 2022 | 3 | 2022 |
| Asking the right questions in low resource template extraction N Holzenberger, Y Chen, B Van Durme arXiv preprint arXiv:2205.12643, 2022 | 3 | 2022 |
| Streaming Sequence Transduction through Dynamic Compression W Tan, Y Chen, T Chen, G Qin, H Xu, HC Zhang, B Van Durme, P Koehn arXiv preprint arXiv:2402.01172, 2024 | 2 | 2024 |
Benjamin Van DurmeJohns Hopkins University / MicrosoftPotvrđena adresa e-pošte na jhu.edu
