29 citations · 29 across the 1 of their papers we have counts for
3 papers
cs.CL2023
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
Guanting Dong, Hongyi Yuan, Keming Lu +7
Large language models (LLMs) with enormous pre-training tokens and parameters emerge diverse abilities, including math reasoning, code generation, and instruction following. These…
cs.CL2023
RRHF: Rank Responses to Align Language Models with Human Feedback without tears
Zheng Yuan, Hongyi Yuan, Chuanqi Tan +3
Reinforcement Learning from Human Feedback (RLHF) facilitates the alignment of large language models with human preferences, significantly enhancing the quality of interactions bet…
cs.CL2023★ 29 cited
How well do Large Language Models perform in Arithmetic tasks?
Zheng Yuan, Hongyi Yuan, Chuanqi Tan +2
Large language models have emerged abilities including chain-of-thought to answer math word problems step by step. Solving math word problems not only requires abilities to disasse…