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

1 citations · 1 across the 7 of their papers we have counts for

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cs.CL2026

Benchmark^2: Systematic Evaluation of LLM Benchmarks

Qi Qian, Chengsong Huang, Jingwen Xu +13

The rapid proliferation of benchmarks for evaluating large language models (LLMs) has created an urgent need for systematic methods to assess benchmark quality itself. We propose B…

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…