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cs.CL2025
ReviewInstruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language Models
Jiangxu Wu, Cong Wang, TianHuang Su +10
The effectiveness of large language models (LLMs) in conversational AI is hindered by their reliance on single-turn supervised fine-tuning (SFT) data, which limits contextual coher…
cs.CL2025
Binary Neural Networks for Large Language Model: A Survey
Liangdong Liu, Zhitong Zheng, Cong Wang +2
Large language models (LLMs) have wide applications in the field of natural language processing(NLP), such as GPT-4 and Llama. However, with the exponential growth of model paramet…