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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

Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs ACL 2024 TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules ICML 2024 Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images ICML 2024 TFWT: Tabular Feature Weighting with Transformer IJCAI 2024 TREE-G: Decision Trees Contesting Graph Neural Networks AAAI 2024 UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science ICLR 2024 Visualization Recommendation with Prompt-based Reprogramming of Large Language Models ACL 2024 When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? EMNLP 2024 WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata NeurIPS 2024 AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks ACL 2023 An Inductive Bias for Tabular Deep Learning NeurIPS 2023 Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data MIDL 2023 Benchmarking Distribution Shift in Tabular Data with TableShift NeurIPS 2023 Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data CVPR 2023 Compressing Tabular Data via Latent Variable Estimation ICML 2023 CRT-QA: A Dataset of Complex Reasoning Question Answering over Tabular Data EMNLP 2023 Data Imputation with Iterative Graph Reconstruction AAAI 2023 Diverse Community Data for Benchmarking Data Privacy Algorithms NeurIPS 2023 Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning ICLR 2023 EGG-GAE: scalable graph neural networks for tabular data imputation AISTATS 2023 Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data EMNLP 2023 FairGBM: Gradient Boosting with Fairness Constraints ICLR 2023 GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure ICLR 2023 High dimensional, tabular deep learning with an auxiliary knowledge graph NeurIPS 2023 Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context ACL 2023