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Found 4 papers, 2 papers with code
A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models
Despite the crucial importance of accelerating text generation in large language models (LLMs) for efficiently producing content, the sequential nature of this process often leads to high inference latency, posing challenges for real-time applications.
Adversarial Learning for Zero-Shot Stance Detection on Social Media
Stance detection on social media can help to identify and understand slanted news or commentary in everyday life.
Vehicle Trajectory Prediction by Transfer Learning of Semi-Supervised Models
In this work we show that semi-supervised models for vehicle trajectory prediction significantly improve performance over supervised models on state-of-the-art real-world benchmarks.
Image to Language Understanding: Captioning approach
Such an approach is a combination of Computer Vision and Natural Language techniques which is a hard problem to solve.
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