8 citations · 25 across the 17 of their papers we have counts for
Showing 2023 · cs.CLShow all
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cs.CL2023★ 8 cited
LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
Shihan Dou, Enyu Zhou, Yan Liu +13
Supervised fine-tuning (SFT) is a crucial step for large language models (LLMs), enabling them to align with human instructions and enhance their capabilities in downstream tasks.…
cs.CL2023
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback
Wei Shen, Rui Zheng, Wenyu Zhan +5
Reinforcement learning from human feedback serves as a crucial bridge, aligning large language models with human and societal values. This alignment requires a vast corpus of human…
cs.CL2023★ 2 cited
Unveiling A Core Linguistic Region in Large Language Models
Jun Zhao, Zhihao Zhang, Yide Ma +4
Brain localization, which describes the association between specific regions of the brain and their corresponding functions, is widely accepted in the field of cognitive science as…