AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
This work proposes Semantic-Conditioned Temporal Structure Distillation, SCTSD, which preserves the standard dual-encoder retrieval pipeline while learning temporal structural information induced by text conditions during training.
As Multimodal Large Language Models (MLLMs) expand the scope of retrieval-augmented generation, recommendation, and multimedia search, audio retrieval is expected to become a dependable retrieval component. Yet existing systems struggle to reconcile lexical precision, non-verbal acoustic evidence, and efficient, transp...
Open-vocabulary audio-visual event localization (OV-AVEL) grounds a text-queried event in time from video, audio, and language, with a reliability-aware asymmetric distillation framework.
Cross-modal music retrieval allows searching music by natural language queries, thereby resolving the challenge present in conventional tag-based music retrieval systems. This paper presents a contrastive pre-training framework for learning aligned embeddings between textural description and music audio signals. The pr...
Experiments on four text-video retrieval benchmarks show that MARS achieves state-of-the-art results in both direct similarity-based retrieval and reranking settings, and a hard-negative-aware slot specialization objective that encourages the slots to capture discriminative matching cues is introduced.
Omnimodal large language models (Omni-LLMs) encode audio and visual streams into temporally interleaved token sequences for multimodal reasoning. However, processing long audio-visual token sequences incurs substantial prefill costs. Existing compression methods have made progress, but often overlook temporal changes i...
SEER is presented, a framework that learns to select query-relevant images through visual scanning and retrieve textual content only where needed, combining the efficiency of visual compression with the precision of text-based reasoning.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.