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Generative Recommendation on Yelp (test)

1.88NG@5UGR
0.54880.89441.241.5856Jun 19, 2025Jul 28, 2025Sep 6, 2025Oct 16, 2025Nov 24, 2025Jan 3, 2026Feb 12, 2026

Evaluation results

MethodLinks
UGRbackbone=Qwen3-8B, beam size=102026.021.880.962.814.732.5——
GFlowGR-TBModel=LETTER2025.061.73———2.222.614.13
TIGERCategory=LLM-based models (SID-based generative)2026.021.670.572.834.62.23——
GFlowGR-TBModel=TIGER2025.061.66———2.132.564.04
GFlowGR-DBModel=LETTER2025.061.66———2.132.523.99
MiniOneRecCategory=LLM-based models (SID-based generative), backbone=Qwen3-8B2026.021.650.872.434.22.26——
ReaRecCategory=Reasoning-enhanced models2026.021.630.742.584.72.32——
R2ecCategory=Reasoning-enhanced models2026.021.610.662.534.642.27——
S-DPOModel=LETTER2025.061.61———2.062.473.89
SASRecCategory=Traditional Models2026.021.530.592.534.412.13——
GRPOModel=LETTER2025.061.46———1.952.283.8
GFlowGR-DBModel=TIGER2025.061.45———1.852.213.45
S-DPOModel=TIGER2025.061.37———1.762.123.33
SFTModel=TIGER2025.061.32———1.742.043.34
SFTModel=LETTER2025.061.31———1.752.053.41
IPAModel=LETTER2025.061.29———1.631.972.93
GRPOModel=TIGER2025.061.26———1.691.933.28
SPRecModel=LETTER2025.061.24———1.61.93.03
DPOModel=LETTER2025.061.15———1.511.722.86
SPRecCategory=LLM-based models (text-based)2026.020.810.660.961.130.87——
SPRecModel=TIGER2025.060.67———0.91.031.86
IPAModel=TIGER2025.060.66———0.931.011.79
BIGRecCategory=LLM-based models (text-based)2026.020.630.360.891.190.73——
DPOModel=TIGER2025.060.6———0.8711.82