SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension

By J. Wu, Jiang-Nan Li, Yuqing Li, Lemao Liu, Liyan Xu, Ji-Wei Li, Dit-Yan Yeung, Jie Zhou, Yu Mo. 2025

Subfields: Information Retrieval & Search, Representation & Self-Supervised Learning

Citations in the corpus

• AutoSurvey2: Empowering Researchers with Next Level Automated Literature Surveys (2025, unknown): “This design follows the growing trend of mixture-of-expert embedding models for high-dimensional semantic representation (Nussbaum et al., 2025; Wu et al., 2025b).”
• Mindscape-Aware Retrieval Augmented Generation for Improved Long Context Understanding (2025, unknown): “SitEmb (Wu et al., 2025) benefits from local contextualization but still falls short of MiA-Emb.”