Researchers from the Hong Kong University of Science and Technology and the University of Illinois Urbana-Champaign have collaborated to address a challenge faced by large language models (LLMs) known as hallucination, where these models generate non-existent facts, by introducing a novel approach called Refusal-Aware Instruction Tuning (R-Tuning).



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