Seonglae ChoSelf Logits Evolution Decoding
A new decoding method that improves factuality by utilizing logit information from all layers. It reduces hallucinations by aligning the model's internal knowledge without external data or additional fine-tuning. SLED reuses logits from all layers to obtain probability distributions for each, then combines them via weighted average to select more accurate tokens.
