LG AI Research news

LG AI Research presented CADO research at ICML 2024, combining reinforcement learning and diffusion models to solve combinatorial optimization problems.

LG AI Research·2026.07.16 09:00

LG AI Research presented CADO, a study combining diffusion models with reinforcement learning to solve combinatorial optimization problems, at ICML 2024.

LG AI Research·1·2026.07.16 09:00

It introduces the latest research trends for overcoming the limitations of LLMs presented at ACL 2024 and LG AI Research's achievements.

LG AI Research·1·2026.07.16 09:00

Through the ACL 2024 tutorial session, we explore the latest research trends, including how to evaluate LLM-generated text and its vulnerabilities.

LG AI Research·1·2026.07.16 09:00

We introduce ChartInstruct, a general-purpose chart understanding model that comprehends the visual information in charts and performs complex reasoning.

LG AI Research·2026.07.16 09:00

We introduce ChartInstruct, a general-purpose chart vision-language model that applies Instruction Tuning to maximize chart understanding and reasoning capabilities.

LG AI Research·1·2026.07.16 09:00

This piece examines the latest techniques for optimizing inference efficiency and resource usage in LLMs, centered on research presented at ACL 2024.

LG AI Research·1·2026.07.16 09:00

This piece analyzes the latest efficiency research aimed at solving the computational cost and inference speed issues that come with the growing scale of LLMs.

LG AI Research·1·2026.07.16 09:00

We look at the limitations of AI-generated text detection technology presented at ACL 2024 and the latest research that addresses them.

LG AI Research·1·2026.07.16 09:00

This piece summarizes the trends and key methodologies of the latest AI-generated text detection technologies presented at ACL 2024.

LG AI Research·2·2026.07.16 09:00

This piece examines the methodologies for evaluating LLM faithfulness and the latest research trends for improving efficiency, as discussed at ACL 2024.

LG AI Research·1·2026.07.16 09:00

This piece examines the LLM reliability evaluation methodologies and research trends in complex task performance and efficiency presented at ACL 2024.

LG AI Research·1·2026.07.16 09:00

Through an ACL 2024 workshop, LG AI Research introduced the importance of developing LLMs that reflect cultural values and biases, along with related research.

LG AI Research·1·2026.07.16 09:00

This article looks at the latest research trends on how LLMs can reflect and measure diverse cultural values and social biases.

LG AI Research·4·2026.07.16 09:00

LG AI Research proposed Projection Regret, a technique that leverages Diffusion models to reduce interference from background information and improve novelty detection performance.

LG AI Research·1·2026.07.16 09:00

LG AI Research proposed Projection Regret, a technique that uses a Diffusion model to reduce background noise and improve anomaly detection performance.

LG AI Research·1·2026.07.16 09:00

LG AI Research has introduced an AI Red Team that checks vulnerabilities from an offensive perspective to enhance the security and reliability of generative AI.

LG AI Research·1·2026.07.16 09:00

It introduces the concept of AI Red Team and its step-by-step attack strategies for detecting and defending against vulnerabilities in generative AI.

LG AI Research·2·2026.07.16 09:00

LG AI Research conducts research to define and systematically classify the practical risks that AI can cause through its AI Ethics Seminar.

LG AI Research·1·2026.07.16 09:00

This article analyzes Microsoft's and Google's AI toolkits to design trustworthy AI experiences and presents practical application methods.

LG AI Research·1·2026.07.16 09:00