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IEEE/ICACT20250028 Slide.10        [Big Slide]	Oral Presentation
	In code generation using generative AI, large language models (LLMs) play a crucial role. LLMs are pre-trained on extensive language datasets through upstream tasks and then fine-tuned on downstream tasks to address specific problems. However, LLMs present key risks, such as hallucination and limited controllability. To mitigate these challenges, various technical approaches are employed, as outlined below.

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