#Negative sampling

Articles (1)

• 🇺🇸 Improving LLM-based Recommendation with Self-Hard Negatives from Intermediate Layers — 20/02/2026 [USA]

  arXiv:2602.17410v1 Announce Type: cross Abstract: Large language models (LLMs) have shown great promise in recommender systems, where supervised fine-tuning (SFT) is commonly used for adaptation. Sub...

  Related: #Recommendation systems, #Large language models, #Preference learning, #Intermediate layer representation