64 citations · 67 across the 8 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CL2024★ 3 cited
Why Does the Effective Context Length of LLMs Fall Short?
Chenxin An, Jun Zhang, Ming Zhong +5
Advancements in distributed training and efficient attention mechanisms have significantly expanded the context window sizes of large language models (LLMs). However, recent work r…
cs.CL2024
FACTTRACK: Time-Aware World State Tracking in Story Outlines
Zhiheng Lyu, Kevin Yang, Lingpeng Kong +1
While accurately detecting and correcting factual contradictions in language model outputs has become increasingly important as their capabilities improve, doing so is highly chall…