6 papers
FMRFusion: Frequency-Aware Multi-View Representation Learning for Heterogeneous Image Fusion
Tao Zhoua, Yunlong Liu, Qinghui Chen +6
Infrared and visible image fusion aims to generate a composite image that retains significant target information and preserves detailed textures, integrating two heterogeneous moda…
Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines
Zekai Zhang, Jinglin Zhang, Qinghui Chen +8
Large-scale Visual-Language Models (LVLMs) have achieved remarkable success in natural visual tasks, yet their application to industrial defect detection remains challenging due to…
FinBoardBench: Benchmarking Dynamic Wealth Management and Strategic Financial Reasoning of LLMs via Board Game Simulations
Xuesi Hu, Peng Wang, Jinpeng Miao +7
Recently, large language models (LLMs) have achieved superior performance in static financial reasoning and simple dynamic trading tasks. However, existing static financial benchma…
Distilled Large Language Model-Driven Dynamic Sparse Expert Activation Mechanism
Qinghui Chen, Zekai Zhang, Zaigui Zhang +5
High inter-class similarity, extreme scale variation, and limited computational budgets hinder reliable visual recognition across diverse real-world data. Existing vision-centric a…
Can Large Language Models Resolve Semantic Discrepancy in Self-Destructive Subcultures? Evidence from Jirai Kei
Peng Wang, Xilin Tao, Siyi Yao +5
Self-destructive behaviors are linked to complex psychological states and can be challenging to diagnose. These behaviors may be even harder to identify within subcultural groups d…
What Factors Affect LLMs and RLLMs in Financial Question Answering?
Peng Wang, Xuesi Hu, Jiageng Wu +3
Recently, large language models (LLMs) and reasoning large language models (RLLMs) have gained considerable attention from many researchers. RLLMs enhance the reasoning capabilitie…