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20232026
most citedPromoting Data and Model Privacy in Federated Learning through Quantized LoRA

1 citations · 3 across the 13 of their papers we have counts for

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cs.CL2025

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning

Muling Wu, Qi Qian, Wenhao Liu +12

Large Language Models (LLMs) have achieved remarkable performance across various reasoning tasks, yet post-training is constrained by inefficient sample utilization and inflexible…

cs.AI2025

RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data

Zhengkang Guo, Wenhao Liu, Mingchen Xie +13

Large language models (LLMs) are increasingly expected to tackle complex tasks, driven by their expanding applications and users' growing proficiency in crafting sophisticated prom…