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.
LG AI Research has unveiled EXAONE 4.0, a next-generation hybrid AI model that integrates advanced reasoning capabilities.
LG AI Research unveiled EXAONE BI, a finance-specialized AI agent that performs corporate analysis and portfolio optimization.
LG AI Research developed EXAONE BI, a financial solution based on the corporate analysis agent GanphA.
Alibaba Tongyi Lab's WebDancer proposes a methodology that enhances LRMs' long-horizon reasoning capabilities by leveraging web search tools.
Alibaba's Tongyi Lab has proposed WebDancer, a framework that enhances the reasoning capabilities of LRMs through web search.
As AI adoption increases, the human role is shifting from problem-solver to verifier, making it essential to maintain an appropriate level of trust.
As dependence on AI grows, it presents design strategies for maintaining human critical thinking and building 'appropriate reliance.'
LG AI Research is holding an ethics seminar to understand and address bias in AI systems in order to build a trustworthy AI ecosystem.
This article examines the definition of AI bias and key cases to explore the challenges of ensuring fairness in artificial intelligence.
LG AI Research developed MOIRA, an Alzheimer's prediction framework that maintains high accuracy even in incomplete clinical settings where data is missing.
LG AI Research has developed MOIRA, a multimodal integration framework that maintains high accuracy even in clinical settings with missing data.
LG AI Research studies action safety and goal integrity through its AI Ethics Seminar to respond to security threats in the era of Agentic AI.
This analyzes the new security threats posed by the autonomy of Agentic AI and a stage-by-stage threat model.
LG AI Research runs an AI Ethics Seminar that explores effective collaboration between AI and humans and ethical guidelines based on the structure of human thought.
This piece discusses the importance of UX design that recognizes AI not as a mere tool but as a collaborative colleague, in order to overcome automation bias.
LG AI Research runs a seminar involving members from various roles to establish AI ethical values that matter as much as technological innovation.
AI Briefing