3 citations · 4 across the 2 of their papers we have counts for
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cs.CL2024★ 1 cited
Efficient and Accurate Memorable Conversation Model using DPO based on sLLM
Youngkyung Seo, Yoonseok Heo, Jun-Seok Koh +1
In multi-session dialog system, it is essential to continuously update the memory as the session progresses. Simply accumulating memory can make it difficult to focus on the conten…
cs.CL2024★ 3 cited
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Hoyeon Chang, Jinho Park, Seonghyeon Ye +4
Despite the recent observation that large language models (LLMs) can store substantial factual knowledge, there is a limited understanding of the mechanisms of how they acquire fac…