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Found 5 papers, 1 papers with code
MTLComb: multi-task learning combining regression and classification tasks for joint feature selection
Although MTL has been successfully applied to ether regression or classification tasks alone, incorporating mixed types of tasks into a unified MTL framework remains challenging, primarily due to variations in the magnitudes of losses associated with different tasks.
Are Large Language Models Good Fact Checkers: A Preliminary Study
However, they encounter challenges in effectively handling Chinese fact verification and the entirety of the fact-checking pipeline due to language inconsistencies and hallucinations.
Can Large Language Models Understand Content and Propagation for Misinformation Detection: An Empirical Study
In this paper, we present a comprehensive empirical study to explore the performance of LLMs on misinformation detection tasks.
Att-KGCN: Tourist Attractions Recommendation System by using Attention mechanism and Knowledge Graph Convolution Network
A knowledge graph dataset of tourist attractions used based on tourism data on Socotra Island-Yemen.
Accelerating Deep Learning Inference via Learned Caches
We present the design of GATI, an end-to-end prediction serving system that incorporates learned caches for low-latency DNN inference.
