Improve factual consistency with LLM Debates
In this post, we demonstrate the potential of large language model (LLM) debates using a supervised dataset with ground truth. ...
Tag: factual
MMed-RAG: A versatile multimodal retrieval and augmented generation system that transforms factual accuracy into medical vision and language models across multiple domains.
ai has had a significant impact on healthcare, particularly in disease diagnosis and treatment planning. One area gaining attention is ...
This AI paper from KAIST, UCL and KT investigates the acquisition and retention of factual knowledge in large language models
Large language models (LLMs) have attracted significant attention for their ability to understand and generate human-like text. These models have ...
Apple researchers present KGLens: a new artificial intelligence method designed to visualize and evaluate the factual knowledge embedded in LLMs
Large language models (LLMs) have gained significant attention for their versatility, but their veracity remains a critical concern. Studies have ...
This CMU AI and Meta AI article introduces pre-instruction tuning (PIT): a game changer for training language models on factual knowledge
In the fast-paced world of artificial intelligence, the challenge of keeping large language models (LLMs) up to date with the ...
FLEEK: Detection and correction of factual errors with evidence obtained from external knowledge
The inability of large linguistic models to attribute their statements to external knowledge and their tendency to hallucinate makes it ...
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