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APCD: Adaptive Path-Contrastive Decoding for Reliable Large Language Model Generation
Reliable text generation is critical for deploying large language models (LLMs) in real-world applications, particularly in high-stakes domains such as medicine. To improve factual reliability, various inference-time methods have been proposed, including logit-level methods that modify token probabi
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