The Clustering Strikes Back: Building Cost-Effective and High-Performance ANNS at Scale with Helmsman
Yuchen Huang, Baiteng Ma, Yiping Sun, Yang Shi, Xiao Chen, Xiaocheng Zhong, Zhiyong Wang, Yao Hu, Erci Xu, โฆ
https://t.co/6Noo9hTo4c [๐๐.๐ธ๐]
๐ฌAccepted by OSDI'26
CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation
Yujuan Ding, Junrong Liao, Yunshan Ma, Yi Bin, Wenqi Fan, Tat-Seng Chua, Qing Li
https://t.co/RVjLvRYekP [๐๐.๐ธ๐ ๐๐.๐ผ๐ผ]
Charge as a Construct-Validity Factor in Chinese Legal Case Retrieval: A Cross-Benchmark Audit
Yao Liu, Tien-Ping Tan, Zhilan Liu
https://t.co/Wak3ewJwJR [๐๐.๐ธ๐]
Trait, Not State: The Durability of Reading Identity in Social Highlighting
Kazuki Nakayashiki, Keisuke Watanabe
https://t.co/dGpVD71pGE [๐๐.๐ธ๐ ๐๐.๐ฒ๐ป ๐๐.๐ท๐ฒ ๐๐.๐๐ธ]
What Limits Does Quantization Place on Dense Top-k Retrieval? A Theoretical Study
Koki Okajima, Tsukasa Yoshida
https://t.co/6Ycr2s9tP2 [๐๐.๐ธ๐ ๐๐.๐ฐ๐ธ ๐๐.๐ธ๐]
The Long Tail, Not the Front Page: Cold-Start Prediction of Crowd Highlight Salience
Kazuki Nakayashiki, Keisuke Watanabe
https://t.co/vicYsPWMl4 [๐๐.๐ธ๐ ๐๐.๐ฒ๐ป ๐๐.๐ท๐ฒ ๐๐.๐๐ธ]
Effective Reinforcement Learning for Agentic Search by Recycling Zero-Variance Queries During Training
Joรฃo Coelho, Joรฃo Magalhรฃes, Bruno Martins, Chenyan Xiong
https://t.co/WTqs15m3T2 [๐๐.๐ธ๐ ๐๐.๐ฐ๐ธ]