Mask-Predict: Parallel Decoding of Conditional Masked Language Models
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Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
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Several object detectors used the bipartite matching loss.
“Several object detectors [9,25,35] used the bipartite matching loss.”
From End-to-End Object Detection with Transformers (2020) · cites this paper as [9]
The Training Objective section describes cross-entropy loss over masked translation tokens, and Experimental Setup §4.1 describes machine-translation benchmarks. Searches for bipartite matching loss and object detection found no passage addressing whether object detectors use that loss. (LLM, conf=0.76)
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Confidence-Modulated Speculative Decoding for Large Language Models
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- Authors
- Ghazvininejad, M., Levy, O., Liu, Y., & Zettlemoyer, L.
- Affiliations
- Meta (Israel) (IL)
- Venue
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Published
- 2019
- Pages
- 6111-6120
- OpenAlex
- W2937808806
- Cited by
- 464
- References
- 18
- Citations by year
- 2026: 19 · 2025: 39 · 2024: 54 · 2023: 84 · 2022: 80 · 2021: 107 · 2020: 74 · 2019: 7
- FWCI
- 25.63
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Conference on Empirical Methods in Natural Language Processing (EMNLP) (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
- Keywords
- parallel decoding, masked language models, beam search, text generation
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