2 citations · 2 across the 4 of their papers we have counts for
6 papers
SLICE: SLO-Driven Scheduling for LLM Inference on Edge Computing Devices
Will Chow
Large Language Models (LLMs), as the foundational architecture for next-generation interactive AI applications, not only power intelligent dialogue systems but also drive the evolu…
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…
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…
ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal Conversations
Yiming Lei, Zhizheng Yang, Zeming Liu +5
Multi-modal large language models have demonstrated remarkable zero-shot abilities and powerful image-understanding capabilities. However, the existing open-source multi-modal mode…
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…
KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue Corpus
Xiaoming Shi, Zeming Liu, Yiming Lei +8
Video-based dialogue systems, such as education assistants, have compelling application value, thereby garnering growing interest. However, the current video-based dialogue systems…