3 papers
cs.IR2026
Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling
Ruixiao Sun, Diego Uribe Mora, Zhimeng Jiang +7
Capturing user interests across extensive watch histories is critical for short-form video recommendation, yet scaling sequence length is limited by two bottlenecks: the semantic s…
cs.CL2026
IPS: In-Prompt Process Supervision for Short Video Content Moderation
Mingchao Liu, Yu Sun, Ruixiao Sun +5
Multimodal large language models (MLLMs) are effective at capturing the semantics of short video content; however, they often fail to attend to the policy-specific details required…
cs.MM2025
Audio-Enhanced Vision-Language Modeling with Latent Space Broadening for High Quality Data Expansion
Yu Sun, Yin Li, Ruixiao Sun +7
Transformer-based multimodal models are widely used in industrial-scale recommendation, search, and advertising systems for content understanding and relevance ranking. Enhancing l…