Robust Post-Training for Generative Recommenders: Why Exponential Reward-Weighted SFT Outperforms RLHF
arXiv:2603.10279v1 Announce Type: new Abstract: Aligning generative recommender systems to user preferences via post-training is critical for closing the gap between next-item prediction and actual …
Keertana Chidambaram, Sanath Kumar Krishnamurthy, Qiuling Xu, Ko-Jen Hsiao, Moumita Bhattacharya
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