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20222026
most citedFedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction

9 citations · 28 across the 19 of their papers we have counts for

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2 papers · 1 filter

cs.CL2025

Multi-Physics: A Comprehensive Benchmark for Multimodal LLMs Reasoning on Chinese Multi-Subject Physics Problems

Zhongze Luo, Zhenshuai Yin, Yongxin Guo +3

While multimodal LLMs (MLLMs) demonstrate remarkable reasoning progress, their application in specialized scientific domains like physics reveals significant gaps in current evalua…

cs.AI2025

GRPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance

Yongxin Guo, Wenbo Deng, Zhenglin Cheng +1

Reinforcement Learning with Verifiable Rewards (RLVR) has markedly enhanced the reasoning abilities of large language models (LLMs). Its success, however, largely depends on strong…