most citedA Survey on Remote Sensing Foundation Models: From Vision to Multimodality

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling

Jiayi Zeng, Yizhe Feng, Mengliang He +5

Large language models (LLMs) have demonstrated significant advancements in error handling. Current error-handling works are performed in a passive manner, with explicit error-handl…

cs.CL2025

GODBench: A Benchmark for Multimodal Large Language Models in Video Comment Art

Yiming Lei, Chenkai Zhang, Zeming Liu +5

Video Comment Art enhances user engagement by providing creative content that conveys humor, satire, or emotional resonance, requiring a nuanced and comprehensive grasp of cultural…

cs.CV2025

SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding

Chenkai Zhang, Yiming Lei, Zeming Liu +5

With the rapid development of Multi-modal Large Language Models (MLLMs), an increasing number of benchmarks have been established to evaluate the video understanding capabilities o…

cs.CV20252 cited

A Survey on Remote Sensing Foundation Models: From Vision to Multimodality

Ziyue Huang, Hongxi Yan, Qiqi Zhan +7

The rapid advancement of remote sensing foundation models, particularly vision and multimodal models, has significantly enhanced the capabilities of intelligent geospatial data int…

cs.AI2024

STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling

Jieyi Wang, Yue Huang, Zeming Liu +7

Online psychological counseling dialogue systems are trending, offering a convenient and accessible alternative to traditional in-person therapy. However, existing psychological co…