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20232025
most citedLoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

19 citations · 19 across the 3 of their papers we have counts for

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cs.CL2024

RNR: Teaching Large Language Models to Follow Roles and Rules

Kuan Wang, Alexander Bukharin, Haoming Jiang +9

Instruction fine-tuning (IFT) elicits instruction following capabilities and steers the behavior of large language models (LLMs) via supervised learning. However, existing models t…