AI BriefingLG AI Research news
The latest AI and developer news from LG AI Research, with short summaries.
Visit website →LG AI Research Proposes an Advanced Question-Answering (QASA) Approach and Benchmark for Scientific Papers
LG AI Research has released the QASA methodology and benchmark to address complex reasoning in scientific papers.
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LG AI Research presented its latest research achievements, including Unlearning and Causal Inference for generative models, at ICML 2023.
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LG AI Research unveiled an efficient unlearning technique to protect data privacy in generative models at ICML 2023.
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We look at the types of training data and the multifaceted evaluation metrics that determine the performance of LLMs, the core of generative AI.
The Generative AI Era: Technical Directions for Large Language Models (LLMs) - LG AI Research BLOG
This provides a detailed analysis of data training, evaluation, and model architecture for Large Language Models (LLMs), the core of generative AI.
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LG AI Research's EXAONE model ranked first on KorQuAD 2.0, a benchmark for evaluating Korean machine reading comprehension performance.
Ranked #1 on KorQuAD 2.0: A Generative Model for Long-Context Question Answering
LG AI Research achieved the #1 ranking on the Korean machine reading comprehension benchmark KorQuAD 2.0 using EXAONE LM 1.0.
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Introducing the latest trends in AI-driven materials database expansion and experimental automation technology presented at the MRS conference.
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Google DeepMind expanded the inorganic materials database tenfold through active learning and discovered more than 380,000 new stable materials.
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LG AI Research's demand forecasting squad achieved results winning awards in 3 categories at the M6 conference held in New York.
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Introduces five major AI research trends and key papers in CV, LLM, and more that drew attention at NeurIPS 2023.
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LG AI Research's demand forecasting squad achieved award-winning results in 3 categories at the M6 forecasting competition held in New York.
[NeurIPS 2023] RLHF, RLAIF Research Trends and Key Papers
This introduces the latest research trends and key papers on RLHF and RLAIF presented at NeurIPS 2023.
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This summarizes the latest research trends presented at NeurIPS 2023, covering the performance, safety, efficiency, and tool-use capabilities of LLMs.
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LG AI Research presented a new training methodology at NeurIPS 2023 to improve deep learning performance on Tabular Data.
[NeurIPS 2023] Multimodal Generation for Audio and Music
This introduces the audio and music generation technologies that drew attention at NeurIPS 2023, along with research achievements from LG AI Research.
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Introduces the latest Computer Vision (CV) research trends and key papers from LG's participation in NeurIPS 2023.
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Introduces the latest research trends in RLHF and RLAIF for improving LLM performance, along with the DPO and Fine-Grained RLHF methodologies.
[NeurIPS 2023] Latest LLM Research Trends - LG AI Research Blog
This looks at the latest research trends in LLMs presented at NeurIPS 2023, including performance evaluation, safety, tool use, and efficient fine-tuning.
[NeurIPS 2023] Large Language Model-based Autonomous Agents
This summarizes research trends in general-purpose and domain-specific LLM-based autonomous agents presented at NeurIPS 2023.