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Found 5 papers, 1 papers with code
Using Contextual Information for Sentence-level Morpheme Segmentation
Recent advancements in morpheme segmentation primarily emphasize word-level segmentation, often neglecting the contextual relevance within the sentence.
A Survey on Prompting Techniques in LLMs
LLMs have shown great promise for a variety of downstream tasks owing to their vast parameters and huge datasets that they are pre-trained on.
Are Large Language Models Geospatially Knowledgeable?
Despite the impressive performance of Large Language Models (LLM) for various natural language processing tasks, little is known about their comprehension of geographic data and related ability to facilitate informed geospatial decision-making.
Trustworthiness of Children Stories Generated by Large Language Models
Large Language Models (LLMs) have shown a tremendous capacity for generating literary text.
Estimation of Vehicular Velocity based on Non-Intrusive stereo camera
The paper presents a modular approach for the estimation of a leading vehicle's velocity based on a non-intrusive stereo camera where SiamMask is used for leading vehicle tracking, Kernel Density estimate (KDE) is used to smooth the distance prediction from a disparity map, and LightGBM is used for leading vehicle velocity estimation.
