Image de couverture de livre

Tabby: A Language Model Architecture for Tabular and Structured Data Synthesis

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cromp, Sonia, GNVV, Satya Sai Srinath Namburi, Alkhudhayri, Mohammed, Cao, Catherine, Guo, Samuel, Roberts, Nicholas, Sala, Frederic
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Computation and Language I.2.6
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Pretrained Hybrids with MAD Skills
par: Roberts, Nicholas, et autres
Publié: (2024)

CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation
par: Zhao, Jitian, et autres
Publié: (2026)

Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes
par: Jayawardhana, Mayuka, et autres
Publié: (2025)

Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
par: Helli, Kai, et autres
Publié: (2024)

RICA2: Rubric-Informed, Calibrated Assessment of Actions
par: Majeedi, Abrar, et autres
Publié: (2024)

Chunked TabPFN: Exact Training-Free In-Context Learning for Long-Context Tabular Data
par: Sergazinov, Renat, et autres
Publié: (2025)

Calibrated Confidence Estimation for Tabular Question Answering
par: Voss, Lukas
Publié: (2026)

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark
par: Katakam, Raj Kiran Gupta
Publié: (2026)

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training
par: Ge, Albert, et autres
Publié: (2025)

Variance Is Not Importance: Structural Analysis of Transformer Compressibility Across Model Scales
par: Salfati, Samuel
Publié: (2026)

Prior-Aligned Data Cleaning for Tabular Foundation Models
par: Berti-Equille, Laure
Publié: (2026)

HAPEns: Hardware-Aware Post-Hoc Ensembling for Tabular Data
par: Maier, Jannis, et autres
Publié: (2026)

Feature-aware Modulation for Learning from Temporal Tabular Data
par: Cai, Hao-Run, et autres
Publié: (2025)

Fine-grained Attention in Hierarchical Transformers for Tabular Time-series
par: Azorin, Raphael, et autres
Publié: (2024)

TML-Bench: Benchmark for Data Science Agents on Tabular ML Tasks
par: Pinchuk, Mykola
Publié: (2026)

Neurosymbolic Association Rule Mining from Tabular Data
par: Karabulut, Erkan, et autres
Publié: (2025)

BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models
par: Patarlapalli, Sai Babu, et autres
Publié: (2026)

Understanding the Limits of Deep Tabular Methods with Temporal Shift
par: Cai, Hao-Run, et autres
Publié: (2025)

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback
par: Adapala, Sai Teja Reddy
Publié: (2025)

FlowRL: Flow-Augmented Few-Shot Reinforcement Learning for Semi-Structured Sensor Data
par: Pivezhandi, Mohammad, et autres
Publié: (2024)

MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification
par: Yao, Tianjun, et autres
Publié: (2024)

LETS Forecast: Learning Embedology for Time Series Forecasting
par: Majeedi, Abrar, et autres
Publié: (2025)

Supervised Learning of Random Neural Architectures Structured by Latent Random Fields on Compact Boundaryless Multiply-Connected Manifolds
par: Soize, Christian
Publié: (2025)

A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds
par: Mohan, Shiwali, et autres
Publié: (2023)

Fusing Rewards and Preferences in Reinforcement Learning
par: Khorasani, Sadegh, et autres
Publié: (2025)

FCBV-Net: Category-Level Robotic Garment Smoothing via Feature-Conditioned Bimanual Value Prediction
par: Daba, Mohammed, et autres
Publié: (2025)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
par: Yousaf, Iqra
Publié: (2024)

SQARL: A Size-Agnostic Reinforcement Learning approach for Circuit Allocation in Distributed Quantum Architectures
par: Carballo, Víctor, et autres
Publié: (2026)

Future Token Prediction -- Causal Language Modelling with Per-Token Semantic State Vector for Multi-Token Prediction
par: Walker, Nicholas
Publié: (2024)

Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
par: Adapala, Sai Teja Reddy
Publié: (2025)

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
par: Tang, Wenjie, et autres
Publié: (2026)

Explicit Dropout: Deterministic Regularization for Transformer Architectures
par: Agrawal, Vidhi, et autres
Publié: (2026)

Deep Generative Symbolic Regression
par: Holt, Samuel, et autres
Publié: (2023)

Privately Fine-Tuned LLMs Preserve Temporal Dynamics in Tabular Data
par: Rosenblatt, Lucas, et autres
Publié: (2026)

Action-Dependent Optimality-Preserving Reward Shaping
par: Forbes, Grant C., et autres
Publié: (2025)

Potential-Based Intrinsic Motivation: Preserving Optimality With Complex, Non-Markovian Shaping Rewards
par: Forbes, Grant C., et autres
Publié: (2024)

Neurocognitive Modeling for Text Generation: Deep Learning Architecture for EEG Data
par: Khushiyant
Publié: (2025)

Structured Contrastive Learning for Interpretable Latent Representations
par: Shen, Zhengyang, et autres
Publié: (2025)

Predictive Modeling of Maritime Radar Data Using Transformer Architecture
par: Qesaraku, Bjorna, et autres
Publié: (2025)

Survey Transfer Learning: Recycling Data with Silicon Responses
par: Amini, Ali
Publié: (2025)