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Found 4 papers, 1 papers with code
Localized Zeroth-Order Prompt Optimization
Existing methodologies usually prioritize a global optimization for finding the global optimum, which however will perform poorly in certain tasks.
A Spatial-Temporal Transformer based Framework For Human Pose Assessment And Correction in Education Scenarios
Human pose assessment and correction play a crucial role in applications across various fields, including computer vision, robotics, sports analysis, healthcare, and entertainment.
Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers
We perform instruction optimization for ChatGPT and use extensive experiments to show that our INSTINCT consistently outperforms the existing methods in different tasks, such as in various instruction induction tasks and the task of improving the zero-shot chain-of-thought instruction.
GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition
Extensive experiments on standard benchmarks demonstrate that our end-to-end model achieves a new state-of-the-art for regular and irregular scene text recognition and needs 6 times shorter inference time than attentionbased methods.
