openalex2026-07-24
Supplementary material to "An Extended Modal Aerosol Dynamics Model (ExMADv1.0) for Simulating Early Nanoparticle Growth"
Qihao Lin, Jiandong Wang, Chenxi Li, Dian Ding, Jiaping Wang, Wei Nie, et al.
The
4 papers indexed
Qihao Lin, Jiandong Wang, Chenxi Li, Dian Ding, Jiaping Wang, Wei Nie, et al.
The
Shuzhong Lai, Junhong Lai, Chenxi Li, Qing Zhou, Haifeng Li, Gang Pan, et al.
The sycophancy of large language models can increase the safety risk in intervention dialogue for autistic children. Supervised fine-tuning can somewhat reduce sycophancy, but relying solely on positive examples is often insufficient to identify and correct failure patterns. We o…
Kai Tang, Jinhao You, Bohua Zhang, Yichen Guo, Yiding Sun, Dongxu Zhang, et al.
Large Vision-Language Models (LVLMs) have achieved remarkable progress in visual understanding tasks such as image captioning and visual question answering. However, they remain susceptible to hallucinations, generating content that is inconsistent with the actual visual input. E…
Tinghao Wang, Yichen Guo, Rui Huang, Zheng Lu, Qizhe Zhang, Chenxi Li, et al.
Multimodal large language models (MLLMs) have achieved strong multimodal reasoning capabilities, but their efficiency is limited by the large number of visual tokens, which introduces substantial computational overhead. Visual token pruning offers a natural solution, yet existing…