14 citations · 15 across the 3 of their papers we have counts for
5 papers
SimuVerity: Benchmarking Agents for Engineering-Grade Simulink Model Generation
Ruiqi Zhang, Jiahao Wang, Mingxuan Li +9
Existing Simulink benchmarks mainly evaluate whether generated models compile, execute, or resemble a reference model. These criteria do not establish whether a model satisfies its…
Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling
Jiahao Wang, Weiye Xu, Aijun Yang +5
Outcome-reward reinforcement learning (RL) is a common and increasingly significant way to refine the step-by-step reasoning of multimodal large language models (MLLMs). In the mul…
VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models
Weiye Xu, Jiahao Wang, Weiyun Wang +10
Visual reasoning is a core component of human intelligence and a critical capability for advanced multimodal models. Yet current reasoning evaluations of multimodal large language…
Power-LLaVA: Large Language and Vision Assistant for Power Transmission Line Inspection
Jiahao Wang, Mingxuan Li, Haichen Luo +4
The inspection of power transmission line has achieved notable achievements in the past few years, primarily due to the integration of deep learning technology. However, current in…
Complementary Relation Contrastive Distillation
Jinguo Zhu, Shixiang Tang, Dapeng Chen +5
Knowledge distillation aims to transfer representation ability from a teacher model to a student model. Previous approaches focus on either individual representation distillation o…