Co-occurring keywords · papers mentioning both
Papers
In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning
ACL 2025
iTBLS: A Dataset of Interactive Conversations Over Tabular Information
ACL 2025
ITUNLP at SemEval-2025 Task 8: Question-Answering over Tabular Data: A Zero-Shot Approach using LLM-Driven Code Generation
SemEval 2025
Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning
IJCAI 2025
LBC: Language-Based-Classifier for Out-Of-Variable Generalization
NAACL 2025
M2-TabFact: Multi-Document Multi-Modal Fact Verification with Visual and Textual Representations of Tabular Data
ACL 2025
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
AAAI 2025
MINDS at SemEval-2025 Task 8: Question Answering Over Tabular Data via Large Language Model-generated SQL Queries
SemEval 2025
MotherNet: Fast Training and Inference via Hyper-Network Transformers
ICLR 2025
Multi-level Diagnosis and Evaluation for Robust Tabular Feature Engineering with Large Language Models
EMNLP 2025
NRGBoost: Energy-Based Generative Boosted Trees
ICLR 2025
Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint)
IJCAI 2025
Perspective: Leveraging Domain Knowledge for Tabular Machine Learning in the Medical Domain
ACL 2025
Predicting the Year of Total Knee Replacement: A Transformer-Based Multimodal Approach
MIDL 2025
Quality Assessment of Tabular Data using Large Language Models and Code Generation
EMNLP 2025
RePanda: Pandas-powered Tabular Verification and Reasoning
ACL 2025
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data
AAAI 2025
Retrieval-Augmented Forecasting with Tabular Time Series Data
ACL 2025
Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
ICLR 2025
Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples
ICLR 2025
Saama Technologies at SemEval-2025 Task 8: Few-shot prompting with LLM-generated examples for question answering on tabular data
SemEval 2025
Samsung Research Poland at SemEval-2025 Task 8: LLM ensemble methods for QA over tabular data
SemEval 2025
ScottyPoseidon at SemEval-2025 Task 8: LLM-Driven Code Generation for Zero-Shot Question Answering on Tabular Data
SemEval 2025
SemEval-2025 Task 8: Question Answering over Tabular Data
SemEval 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
CVPR 2025