13 citations · 36 across the 13 of their papers we have counts for
13 papers
Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation
Guojun Liang, Najmeh Abiri, Atiye Sadat Hashemi +3
Accurate imputation is essential for the reliability and success of downstream tasks. Recently, diffusion models have attracted great attention in this field. However, these models…
An Empirical Study on Information Extraction using Large Language Models
Ridong Han, Chaohao Yang, Tao Peng +4
Human-like large language models (LLMs), especially the most powerful and popular ones in OpenAI's GPT family, have proven to be very helpful for many natural language processing (…
SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding
Yazhou Zhang, Chunwang Zou, Zheng Lian +2
In the era of large language models (LLMs), the task of ``System I''~-~the fast, unconscious, and intuitive tasks, e.g., sentiment analysis, text classification, etc., have been ar…
Predicting Overtakes in Trucks Using CAN Data
Talha Hanif Butt, Prayag Tiwari, Fernando Alonso-Fernandez
Safe overtakes in trucks are crucial to prevent accidents, reduce congestion, and ensure efficient traffic flow, making early prediction essential for timely and informed driving d…
Pushing The Limit of LLM Capacity for Text Classification
Yazhou Zhang, Mengyao Wang, Chenyu Ren +4
The value of text classification's future research has encountered challenges and uncertainties, due to the extraordinary efficacy demonstrated by large language models (LLMs) acro…
Occluded Person Re-Identification with Deep Learning: A Survey and Perspectives
Enhao Ning, Changshuo Wang, Huang Zhangc +2
Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent surveillance systems. Widespread occlusion significantly impacts the performance of pe…