Research map / Large language models / Alignment and preferences
More Than What Was Chosen: LLM-based Explainable Recommendation Beyond Noisy User Preferences
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Preference Diffusion for Recommendation (ICLR 2025 · similarity 0.91)
- On Softmax Direct Preference Optimization for Recommendation (NeurIPS 2024 · similarity 0.89)
- Tree of Preferences for Diversified Recommendation (NeurIPS 2025 · similarity 0.89)
- Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation (NeurIPS 2025 · similarity 0.88)
- LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation (NeurIPS 2024 · similarity 0.88)
- Objective Shaping with Hard Negatives: Windowed Partial AUC Optimization for RL-based LLM Recommenders (NeurIPS 2026 · similarity 0.88)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.