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263 papers

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large language model (53) question answering (22) synthetic data generation (21) representation learning (19) code generation (17) data augmentation (13) multimodal learning (12) in-context learning (12) few-shot learning (12) table question answering (11)

Papers

GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data ICLR 2024 HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection NeurIPS 2024 How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data ICLR 2024 How Robust Are the QA Models for Hybrid Scientific Tabular Data? A Study Using Customized Dataset COLING 2024 HyperFast: Instant Classification for Tabular Data AAAI 2024 Interpretable Deep Clustering for Tabular Data ICML 2024 Interpretable Mesomorphic Networks for Tabular Data NeurIPS 2024 Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication ICLR 2024 Making Pre-trained Language Models Great on Tabular Prediction ICLR 2024 MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data ICLR 2024 MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement IJCAI 2024 MINTY: Rule-based models that minimize the need for imputing features with missing values AISTATS 2024 NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization EMNLP 2024 Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning NeurIPS 2024 PTaRL: Prototype-based Tabular Representation Learning via Space Calibration ICLR 2024 Rethinking Tabular Data Understanding with Large Language Models NAACL 2024 Retrieval & Fine-Tuning for In-Context Tabular Models NeurIPS 2024 Revisiting Multimodal Transformers for Tabular Data with Text Fields ACL 2024 SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data IJCAI 2024 Soft Learning Probabilistic Circuits PGM 2024 Solving Data-centric Tasks using Large Language Models NAACL 2024 Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning EMNLP 2024 SwitchTab: Switched Autoencoders Are Effective Tabular Learners AAAI 2024 Tab2Text - A framework for deep learning with tabular data EMNLP 2024 TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models NeurIPS 2024