Summary of Generating Realistic Tabular Data with Large Language Models, by Dang Nguyen et al.
Generating Realistic Tabular Data with Large Language Modelsby Dang Nguyen, Sunil Gupta, Kien Do, Thin…
Summary of Not All Llm-generated Data Are Equal: Rethinking Data Weighting in Text Classification, by Hsun-yu Kuo et al.
Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classificationby Hsun-Yu Kuo, Yin-Hsiang…
Summary of Reconstructing Dynamics From Sparse Observations with No Training on Target System, by Zheng-meng Zhai et al.
Reconstructing dynamics from sparse observations with no training on target systemby Zheng-Meng Zhai, Jun-Yin Huang,…
Summary of Zgan: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation, by Azizjon Azimi et al.
zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generationby Azizjon Azimi, Bonu Boboeva,…
Summary of Alternatives Of Unsupervised Representations Of Variables on the Latent Space, by Alex Glushkovsky
Alternatives of Unsupervised Representations of Variables on the Latent Spaceby Alex GlushkovskyFirst submitted to arxiv…
Summary of Evaluating Neural Networks For Early Maritime Threat Detection, by Dhanush Tella et al.
Evaluating Neural Networks for Early Maritime Threat Detectionby Dhanush Tella, Chandra Teja Tiriveedhi, Naphtali Rishe,…
Summary of Privacy Without Noisy Gradients: Slicing Mechanism For Generative Model Training, by Kristjan Greenewald et al.
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Trainingby Kristjan Greenewald, Yuancheng Yu, Hao…
Summary of Heterogeneous Random Forest, by Ye-eun Kim et al.
Heterogeneous Random Forestby Ye-eun Kim, Seoung Yun Kim, Hyunjoong KimFirst submitted to arxiv on: 24…
Summary of Knowledge Distillation Using Frontier Open-source Llms: Generalizability and the Role Of Synthetic Data, by Anup Shirgaonkar et al.
Knowledge Distillation Using Frontier Open-source LLMs: Generalizability and the Role of Synthetic Databy Anup Shirgaonkar,…
Summary of Simrag: Self-improving Retrieval-augmented Generation For Adapting Large Language Models to Specialized Domains, by Ran Xu et al.
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domainsby Ran Xu, Hui…