3 papers
cs.IR2026
Grevo: A Unified Generative Recommendation Framework with Evolutionary Item Indexing
Huanjie Wang, Liwei Guan, Zekai Sun +2
Generative recommendation has recently emerged as a promising paradigm that reformulates retrieval as autoregressive generation over semantic identifiers (SIDs), achieving strong p…
cs.IR2026
PIT: A Dynamic Personalized Item Tokenizer for End-to-End Generative Recommendation
Huanjie Wang, Xinchen Luo, Honghui Bao +6
Generative Recommendation has revolutionized recommender systems by reformulating retrieval as a sequence generation task over discrete item identifiers. Despite the progress, exis…
cs.CL2025
Refine Medical Diagnosis Using Generation Augmented Retrieval and Clinical Practice Guidelines
Wenhao Li, Hongkuan Zhang, Hongwei Zhang +5
Current medical language models, adapted from large language models (LLMs), typically predict ICD code-based diagnosis from electronic health records (EHRs) because these labels ar…