3 papers
cs.CL2025
CompressKV: Semantic Retrieval Heads Know What Tokens are Not Important Before Generation
Xiaolin Lin, Jingcun Wang, Olga Kondrateva +3
Recent advances in large language models (LLMs) have significantly boosted long-context processing. However, the increasing key-value (KV) cache size poses critical challenges to m…
cs.CV2024
PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts
Zewen Chen, Haina Qin, Juan Wang +4
Due to the diversity of assessment requirements in various application scenarios for the IQA task, existing IQA methods struggle to directly adapt to these varied requirements afte…
cs.CV2024
Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval
Haowei Liu, Yaya Shi, Haiyang Xu +8
In video-text retrieval, most existing methods adopt the dual-encoder architecture for fast retrieval, which employs two individual encoders to extract global latent representation…