Imagen de Portada

Instruction Tuning of Large Language Models for Tabular Data Generation-in One Day

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Abdollahzadeh, Milad, Raheem, Abdul, Zhao, Zilong, Javaid, Uzair, Yee, Kevin, Abhishek, Nalam Venkata, Truong-Huu, Tram, Sikdar, Biplab
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

TAEGAN: Generating Synthetic Tabular Data For Data Augmentation
por: Li, Jiayu, et al.
Publicado: (2024)

TabTreeFormer: Tabular Data Generation Using Hybrid Tree-Transformer
por: Li, Jiayu, et al.
Publicado: (2025)

CombU: A Combined Unit Activation for Fitting Mathematical Expressions with Neural Networks
por: Li, Jiayu, et al.
Publicado: (2024)

IRG: Modular Synthetic Relational Database Generation with Complex Relational Schemas
por: Li, Jiayu, et al.
Publicado: (2023)

Laplace Transform Interpretation of Differential Privacy
por: Chourasia, Rishav, et al.
Publicado: (2024)

VFLGAN-TS: Vertical Federated Learning-based Generative Adversarial Networks for Publication of Vertically Partitioned Time-Series Data
por: Yuan, Xun, et al.
Publicado: (2024)

Unified Framework for Qualifying Security Boundary of PUFs Against Machine Learning Attacks
por: Fei, Hongming, et al.
Publicado: (2026)

LiteAtt: A Peer-to-Peer Self-Attestation Framework and Handshake Protocol for Connected IoT Devices
por: Kohli, Varun, et al.
Publicado: (2026)

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing
por: Kohli, Bhavya, et al.
Publicado: (2026)

FaiRTT: An Empirical Approach for Enhanced RTT Fairness and Bottleneck Throughput in BBR
por: Abrol, Akshita, et al.
Publicado: (2024)

A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks
por: Abrol, Akshita, et al.
Publicado: (2024)

False Sense of Security on Protected Wi-Fi Networks
por: Lim, Yong Zhi, et al.
Publicado: (2025)

AIR: Zero-shot Generative Model Adaptation with Iterative Refinement
por: Liu, Guimeng, et al.
Publicado: (2025)

Quantifying Memory Cells Vulnerability for DRAM Security
por: Hu, Zilong, et al.
Publicado: (2026)

Towards Irreversible Machine Unlearning for Diffusion Models
por: Yuan, Xun, et al.
Publicado: (2025)

TabuLa: Harnessing Language Models for Tabular Data Synthesis
por: Zhao, Zilong, et al.
Publicado: (2023)

Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting
por: Iqbal, Asif, et al.
Publicado: (2024)

Unified LIP Framework (ULF) Prevention-First Manufacturing Policy
por: Nalam, Allan John
Publicado: (2025)

UNIFIED LATENT INTELLIGENCE PHILOSOPHY (LIP) FRAMEWORK (ULF)
por: Nalam, Allan John
Publicado: (2025)

Unified LIP Framework (ULF) Prevention-First Retail & Consumer Intelligence Policy
por: Nalam, Allan John
Publicado: (2025)

In-Memory Sorting-Searching with Cayley Tree
por: Paul, Subrata, et al.
Publicado: (2025)

LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models
por: Sikdar, Prateek Kumar
Publicado: (2026)

Auditing Apple's DifferentialPrivacy.framework: Implementation Bugs, Misconfigurations, and Practical Risks
por: Chourasia, Rishav, et al.
Publicado: (2026)

Instruction Mining: Instruction Data Selection for Tuning Large Language Models
por: Cao, Yihan, et al.
Publicado: (2023)

VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication
por: Yuan, Xun, et al.
Publicado: (2024)

FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
por: Teo, Christopher T. H, et al.
Publicado: (2024)

Re: Methods and Timing of the Assessment of Post‐Operative Pain in Minimally Invasive Hernia Surgery: A Scoping Review Comparing Robotic With Laparoscopic Repair
por: Abdul Raheem Malik, et al.
Publicado: (2026)

Investigating Instruction Tuning Large Language Models on Graphs
por: Zhu, Kerui, et al.
Publicado: (2024)

Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead
por: Schlegel, Viktor, et al.
Publicado: (2025)

BIMA: Bijective Maximum Likelihood Learning Approach to Hallucination Prediction and Mitigation in Large Vision-Language Models
por: Tran, Huu-Thien, et al.
Publicado: (2025)

Adaptive Learning Strategies for AoA-Based Outdoor Localization: A Comprehensive Framework
por: Trinh-Nguyen, Bac, et al.
Publicado: (2026)

Federated Data-Efficient Instruction Tuning for Large Language Models
por: Qin, Zhen, et al.
Publicado: (2024)

A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
por: Abdollahzadeh, Milad, et al.
Publicado: (2023)

Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech Data
por: Choi, Youngwon, et al.
Publicado: (2025)

Swarm-Net: Firmware Attestation in IoT Swarms using Graph Neural Networks and Volatile Memory
por: Kohli, Varun, et al.
Publicado: (2024)

Delay and Power consumption Analysis for Queue State Dependent Service Rate Control in WirelessHart System
por: Guha, Dibyajyoti, et al.
Publicado: (2021)

Privacy-preserving Robotic-based Multi-factor Authentication Scheme for Secure Automated Delivery System
por: Yang, Yang, et al.
Publicado: (2024)

Neuron-Aware Data Selection In Instruction Tuning For Large Language Models
por: Chen, Xin, et al.
Publicado: (2026)

One-Shot Learning as Instruction Data Prospector for Large Language Models
por: Li, Yunshui, et al.
Publicado: (2023)

Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
por: Hayati, Shirley Anugrah, et al.
Publicado: (2024)