Summary of Synthetic Data Generation with Llm For Improved Depression Prediction, by Andrea Kang et al.
Synthetic Data Generation with LLM for Improved Depression Predictionby Andrea Kang, Jun Yu Chen, Zoe…
Synthetic Data Generation with LLM for Improved Depression Predictionby Andrea Kang, Jun Yu Chen, Zoe…
Towards Efficient Neurally-Guided Program Induction for ARC-AGIby Simon OuelletteFirst submitted to arxiv on: 13 Nov…
SlideSpawn: An Automatic Slides Generation System for Research Publicationsby Keshav Kumar, Ravindranath ChowdaryFirst submitted to…
A Generalized Unified Skew-Normal Process with Neural Bayes Inferenceby Kesen Wang, Marc G. GentonFirst submitted…
MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecastingby Yangyang Shi,…
Robust Bayesian Optimization via Localized Online Conformal Predictionby Dongwon Kim, Matteo Zecchin, Sangwoo Park, Joonhyuk…
CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuningby Fanxu Meng, Pingzhi Tang, Fan jiang, Muhan ZhangFirst…
Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in GNNs: A Surveyby Hugo Attali, Davide Buscaldi,…
Maximally Separated Active Learningby Tejaswi Kasarla, Abhishek Jha, Faye Tervoort, Rita Cucchiara, Pascal MettesFirst submitted…
Object-centric proto-symbolic behavioural reasoning from pixelsby Ruben van Bergen, Justus Hübotter, Pablo LanillosFirst submitted to…