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20232026
most citedExplainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey

11 citations · 42 across the 59 of their papers we have counts for

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5 papers · 1 filter

cs.LG2025★ 1 cited

OneForecast: A Universal Framework for Global and Regional Weather Forecasting

Yuan Gao, Hao Wu, Ruiqi Shu +11

Accurate weather forecasts are important for disaster prevention, agricultural planning, etc. Traditional numerical weather prediction (NWP) methods offer physically interpretable…

cs.LG2024★ 1 cited

Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios

Yunkai Dang, Mengxi Gao, Yibo Yan +8

Multimodal large language models (MLLMs) have recently achieved state-of-the-art performance on tasks ranging from visual question answering to video understanding. However, existi…

cs.LG2024

Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models

Kening Zheng, Junkai Chen, Yibo Yan +2

Hallucination issues continue to affect multimodal large language models (MLLMs), with existing research mainly addressing object-level or attribute-level hallucinations, neglectin…

cs.LG2024★ 2 cited

Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs

Xingchen Zou, Jiani Huang, Xixuan Hao +6

Regional socioeconomic indicators are critical across various domains, yet their acquisition can be costly. Inferring global socioeconomic indicators from a limited number of regio…

cs.LG2024

Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook

Xingchen Zou, Yibo Yan, Xixuan Hao +8

As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for sustainable development by harnessing the power of cross-domain data fusion from diverse sources…