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Found 4 papers, 2 papers with code
PHALM: Building a Knowledge Graph from Scratch by Prompting Humans and a Language Model
In this paper, we propose PHALM, a method of building a knowledge graph from scratch, by prompting both crowdworkers and a large language model (LLM).
Building a Personalized Dialogue System with Prompt-Tuning
Dialogue systems without consistent responses are not fascinating.
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty
Label noise is a critical factor that degrades the generalization performance of deep neural networks, thus leading to severe issues in real-world problems.
Ranked #23 on
Image Classification
on Clothing1M
(using extra training data)
Real-Time Action Detection in Video Surveillance using Sub-Action Descriptor with Multi-CNN
The proposed approach achieved a mean average precision (mAP) of 76. 6% at the frame-based and 83. 5% at the video-based measurement on the new large-scale ICVL video surveillance dataset that the authors introduce and make available to the community with this paper.
