1 citations · 1 across the 4 of their papers we have counts for
Showing cs.IRShow all
2 papers · 1 filter
cs.IR2026
WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment
Jiajun Han, Guoxin Ma, Felix +9
Generative retrieval (GR) offers a promising paradigm for industrial search by unifying candidate generation within an autoregressive framework. However, effectively leveraging use…
cs.IR2026
Unleash the Potential of Long Semantic IDs for Generative Recommendation
Ming Xia, Guoxin Ma, Zhiqin Zhou +1
Semantic ID-based generative recommenders face a granularity-efficiency dilemma between efficient recommendation with short IDs and expressive item modeling with long IDs. To break…