Results 231 to 240 of about 239,466 (252)
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ACM Transactions on Intelligent Systems and Technology
Large language models (LLMs) have demonstrated emergent abilities in text generation, question answering, and reasoning, facilitating various tasks and domains.
Fali Wang +13 more
semanticscholar +1 more source
Large language models (LLMs) have demonstrated emergent abilities in text generation, question answering, and reasoning, facilitating various tasks and domains.
Fali Wang +13 more
semanticscholar +1 more source
MM-LLMs: Recent Advances in MultiModal Large Language Models
Annual Meeting of the Association for Computational LinguisticsIn the past year, MultiModal Large Language Models (MM-LLMs) have undergone substantial advancements, augmenting off-the-shelf LLMs to support MM inputs or outputs via cost-effective training strategies.
Duzhen Zhang +6 more
semanticscholar +1 more source
Large language models in medicine
Nature Medicine, 2023A. Thirunavukarasu +5 more
semanticscholar +1 more source
Large Language Models: A Survey
arXiv.orgLarge Language Models (LLMs) have drawn a lot of attention due to their strong performance on a wide range of natural language tasks, since the release of ChatGPT in November 2022. LLMs' ability of general-purpose language understanding and generation is
Shervin Minaee +6 more
semanticscholar +1 more source
Training Large Language Models to Reason in a Continuous Latent Space
arXiv.orgLarge language models (LLMs) are typically constrained to reason in the language space, where they express the reasoning process through a chain-of-thought (CoT) to solve complex problems.
Shibo Hao +6 more
semanticscholar +1 more source
Zehn Anwendungsfelder für Large Language Models (LLMs)
Sales ExcellenceLivia Rainsberger
semanticscholar +1 more source
On protecting the data privacy of Large Language Models (LLMs) and LLM agents: A literature review
High-Confidence ComputingMinghui Xu +2 more
exaly