4 papers · 1 filter
CodeHID: Learning an Addressable Hierarchical Code Index for Generative Code Retrieval
Zhen Li, Yuhong Chen, Wenhao Xu +2
Code retrieval models have predominantly relied on a flat matching paradigm that treats code snippets as independent candidates, making them less capable of distinguishing similar…
AgenticRec: A Recommendation-Oriented Agentic Framework with Progressive Tool-Integrated Reasoning Optimization
Tianyi Li, Zixuan Wang, Guidong Lei +2
Recommender agents built on Large Language Models offer a promising paradigm for personalized recommendation. However, existing agents typically suffer from a misalignment between…
Retrieval-Augmented Recommendation Explanation Generation with Hierarchical Aggregation
Bangcheng Sun, Yazhe Chen, Jilin Yang +2
Explainable Recommender System (ExRec) provides transparency to the recommendation process, increasing users' trust and boosting the operation of online services. With the rise of…
GENPLUGIN: A Plug-and-Play Framework for Long-Tail Generative Recommendation with Exposure Bias Mitigation
Kun Yang, Siyao Zheng, Tianyi Li +2
Generative recommendation (GenRec) offers LLM integration, reduced embedding costs, and eliminates per-candidate scoring, attracting great attention. Despite its promising performa…