RecLM uses two-turn collaborative instruction tuning plus a reinforcement-learning reward model to generate user and item profiles that improve cold-start recommendation performance when plugged into existing recommenders.
Lightgcn: Simplifying and powering graph convolution network for recommendation
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RecLM: Recommendation Instruction Tuning
RecLM uses two-turn collaborative instruction tuning plus a reinforcement-learning reward model to generate user and item profiles that improve cold-start recommendation performance when plugged into existing recommenders.