Turning viewers into creators, then growing creators into top creators: one flywheel, two engines, and three levers for thinking about where modeling fits in the creation problem on a short-video platform.
A close reading of OPRO, which uses meta-prompts to let LLMs iteratively optimize prompts, and GR2, which builds a recommendation re-ranker via semantic-ID mid-training, reasoning data generation, and DAPO RL.
Notes on five papers: CrossDistil’s cross-task distillation, DMT’s topology-aware training, an enhanced twin-tower retriever, Pinterest’s DHEN for CVR prediction, and Xiaohongshu’s UniNote multimodal embedding.
A close reading of DiffuRec, Flow Matching, and the learning dynamics of LLM finetuning, plus a survey of research directions, key papers, and open bottlenecks for diffusion in recommendation.
A categorized reading report on 41 papers at the intersection of recommender systems and LLMs, spanning Semantic ID generative retrieval, two-tower cold start, ranking scaling, and diffusion models.