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cs.LG2026
Robust Post-Training for Generative Recommenders: Why Exponential Reward-Weighted SFT Outperforms RLHF
Keertana Chidambaram, Sanath Kumar Krishnamurthy, Qiuling Xu +2
Aligning generative recommender systems to user preferences via post-training is critical for closing the gap between next-item prediction and actual recommendation quality. Existi…
cs.LG2011★ 12 cited
Multi-criteria Anomaly Detection using Pareto Depth Analysis
Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder +1
We consider the problem of identifying patterns in a data set that exhibit anomalous behavior, often referred to as anomaly detection. In most anomaly detection algorithms, the dis…