Beyond Sequences: Distilling Structured Decision Memory for LLM Recommendation

arXiv:2610.11501 · cs.CL · Submitted 2026-10-08 · Read on arXiv

cs.CL

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Distillation — 14× in this paper · explained in 2 episodes
• Interpretability — 11× in this paper · explained in 15 episodes
• Decision Memory Bank — 9× in this paper
• Post-Hoc Decision Distillation — 8× in this paper
• Structured Decision Memory — 8× in this paper
• Core — 7× in this paper · explained in 2 episodes
• Difficult Choice Prediction — 5× in this paper
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Sparsity — 5× in this paper · explained in 4 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Embeddings — 4× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Abstraction — 3× in this paper · explained in 1 episode
• Next-Item Prediction — 3× in this paper
• RAG — 3× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation — 3× in this paper
• Transformer — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Memory-Augmented Recommendation with Interpretability — 2× in this paper
• Representation Learning — 2× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation (RAG) — 2× in this paper · explained in 16 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Combinatorial Optimization — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hypergraph — 1× in this paper · explained in 2 episodes
• Memory Augmentation — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Two-Stage Framework — 1× in this paper · explained in 2 episodes

Sources

• Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders
• Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation
• Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• Qwen3 Technical Report
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
• gpt-oss-120b & gpt-oss-20b Model Card

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