The article presents a detailed overview of existing strategies to detect content generated by large language models (LLMs). With the increasing use and capabilities of LLMs in various sectors, including…
Continue readingThe paper presents AgentTuning, a method to improve the agent capabilities of large language models (LLMs) without compromising their general abilities. It uses a hybrid instruction-tuning strategy that combines a…
Continue readingThe study delves into the in-context learning capabilities of Transformers and Large Language Models (LLMs). The paper demonstrates that Transformers are capable of implementing gradient-based learning algorithms for various real-valued…
Continue readingThis academic article investigates the cognitive abilities and confidence dynamics of Large Language Models (LLMs). The authors dive deep into understanding the alignment between these models’ self-assessed confidence and actual…
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