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cs.CL2025
PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality
Byeongho Yu, Changhun Lee, Jungyu Jin +1
To mitigate the hallucination problem in large language models, DoLa exploits early exit logits from the same model as a contrastive prior. However, we found that these early exit…
cs.CL2025★ 1 cited
SEAL: Scaling to Emphasize Attention for Long-Context Retrieval
Changhun Lee, Minsang Seok, Jun-gyu Jin +2
While many advanced LLMs are designed to handle long sequence data, we can still observe notable quality degradation even within the sequence limit. In this work, we introduce a no…