2 papers
cs.IR2026
SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress
Yang Yu, Lei Kou, Huaikuan Yi +6
With the rapid evolution of Large Language Models (LLMs), generative recommendation is gradually reshaping the paradigm of recommender systems. However, most existing methods remai…
cs.PL2025
LOOPRAG: Enhancing Loop Transformation Optimization with Retrieval-Augmented Large Language Models
Yijie Zhi, Yayu Cao, Jianhua Dai +5
Loop transformations are semantics-preserving optimization techniques, widely used to maximize objectives such as parallelism. Despite decades of research, applying the optimal com…