Author

Taeyeong Jang

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Book Open access Aug 2026

Progressive Alignment of Recommender Foundation Model through Multi-Phase Post-Training

Foundation model(FM) for recommendation has shown strong ability to model long-horizon sequential user behavior. In practice, a single pretrained foundation model is often adapted to diverse downstream serving surfaces through Supervised Fine-Tuning(SFT). However, optimizing task-specific objectives such as clicks or l...

Oseong Choi, Hoe-Gang Kim, Jihoon Lee et al. · Proceedings of the 20th ACM... · 0 citations

Preprint Aug 2026

LLM-Derived Priors for Thompson Sampling in Cold-Start Comment Recommendation

It is suggested that LLM-derived priors can serve as a practical warm-start mechanism for text-rich bandit recommendation, while also revealing deployment trade-offs.

E. Lee, Oseong Choi, Byungsoo Kang et al. · 0 citations