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Found 6 papers, 1 papers with code
Design Editing for Offline Model-based Optimization
Offline model-based optimization (MBO) aims to maximize a black-box objective function using only an offline dataset of designs and scores.
FastVideoEdit: Leveraging Consistency Models for Efficient Text-to-Video Editing
By leveraging the self-consistency property of CMs, we eliminate the need for time-consuming inversion or additional condition extraction, reducing editing time.
Server-side Rescoring of Spoken Entity-centric Knowledge Queries for Virtual Assistants
On-device Virtual Assistants (VAs) powered by Automatic Speech Recognition (ASR) require effective knowledge integration for the challenging entity-rich query recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization
Recent advances in deep learning and automatic speech recognition have improved the accuracy of end-to-end speech recognition systems, but recognition of personal content such as contact names remains a challenge.
Techniques to Improve Neural Math Word Problem Solvers
Recent neural-based approaches mainly encode the problem text using a language model and decode a mathematical expression over quantities and operators iteratively.
Distinctive Image Captioning via CLIP Guided Group Optimization
Image captioning models are usually trained according to human annotated ground-truth captions, which could generate accurate but generic captions.
