46 citations · 162 across the 17 of their papers we have counts for
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cs.CL2024
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training
Qingyan Guo, Rui Wang, Junliang Guo +3
While large language models (LLMs) have achieved impressive performance across diverse tasks, recent studies showcase that causal LLMs suffer from the "reversal curse". It is a typ…
cs.LG2024★ 3 cited
Beyond Language Models: Byte Models are Digital World Simulators
Shangda Wu, Xu Tan, Zili Wang +3
Traditional deep learning often overlooks bytes, the basic units of the digital world, where all forms of information and operations are encoded and manipulated in binary format. I…