Papers with offline model

3 papers
CAVE: Controllable Authorship Verification Explanations (2025.naacl-long)

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Challenge: Authorship Verification (AV) is used for tasks such as plagiarism detection, forensic analysis, analysis of the spread of misinformation.
Approach: They propose to train an offline authorship verification model that is accessible and easy to use.
Outcome: The proposed model generates high quality explanations and competitive task accuracy on three difficult AV datasets.
Towards Online Continuous Sign Language Recognition and Translation (2024.emnlp-main)

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Challenge: Existing studies on continuous sign language recognition (CSLR) use offline models with high latency and memory usage.
Approach: They develop a sign dictionary and train an isolated sign language recognition model on the dictionary.
Outcome: The proposed model achieves state-of-the-art on three popular benchmarks across task settings.
Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference (2023.emnlp-main)

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Challenge: Existing approaches to streaming speech translation use an offline model with a wait-k policy . however, there is a mismatch problem with an offline inference model trained with complete utterances .
Approach: They propose an offline streaming speech translation model with wait-k policy to support different latency requirements.
Outcome: The proposed model achieves better trade-offs between translation quality and latency than baselines.

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