LG AI Research has developed AGATa technology that improves training performance while preserving the structure of tabular data.
LG AI Research unveiled AGATa, a new augmentation technique that maximizes training performance while preserving the structural characteristics of tabular data.
LG AI Research proposed AIR, a multimodal time series forecasting technology that reflects the characteristics of time series data and text data.
LG AI Research has proposed 'AIR,' a multimodal time series forecasting technique that uses text information to control the behavior of time series models.
LG AI Research unveiled 'NEXUS,' an Agent AI system that tracks the lifecycle of complex datasets and analyzes legal risks.
LG AI Research has unveiled 'NEXUS,' an Agent AI system that automatically analyzes and tracks the legal risks of datasets.
LG AI Research dramatically shortened new material development timelines using a molecular pre-training model that leverages 3D structures.
LG AI Research shortened the development period for cosmetic efficacy materials from 2 years to a single day using knowledge distillation technology that leverages 3D molecular information.
LG AI Research has unveiled 'EXAONE Deep,' an AI model with overwhelming reasoning performance in math, science, and coding.
LG AI Research presented RaTab, a technology that improves the self-supervised learning efficiency of tabular data, at AAAI-25.
LG AI Research presented RaTab, a technique that maximizes learning effectiveness while preserving core information in tabular data, at AAAI-25.
LG AI Research presented the VarDrop algorithm at AAAI-25, which reduces variate redundancy in time-series data to improve training efficiency.
LG AI Research proposed the VarDrop algorithm, which maximizes the training efficiency of time series forecasting models by reducing redundancy among variates.
LG AI Research has unveiled ImagePiece, a technique that applies NLP's subword tokenization approach to improve the efficiency of Vision Transformers (ViT).
LG AI Research has proposed ImagePiece, a technique that improves the computational efficiency of vision models by drawing inspiration from NLP's tokenization methods.
LG AI Research has unveiled SONA, a new OOD detection framework that uses diffusion models to precisely control semantic features.
LG AI Research has developed SONA, a framework that leverages Diffusion models to precisely generate Near-OOD data.
LG AI Research developed BiGGen Bench, a new benchmark for precisely diagnosing the capabilities of language models, and won the NAACL 2025 Best Paper Award for it.
LG AI Research developed BiGGen Bench, a new benchmark that reflects precise human evaluation criteria in LLMs, winning the NAACL 2025 Best Paper Award.
LG AI Research has unveiled MolMole, a specialized model that directly extracts chemical molecular structures and reaction formulas from PDF documents.
Covers the evolution of LLMs, foundation models, and technical advances through efficient MoE architecture.
A look at efficient training methodologies and the latest technology trends for foundation models, which serve as the basis of LLMs.
LG AI Research has open-sourced EXAONE Path 2.0, which predicts genetic mutations at ultra-high speed through pathology image analysis.
LG AI Research has unveiled EXAONE 4.0, a next-generation hybrid AI model with enhanced reasoning capabilities.
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