mlsanityData to 7 Oct 2026

OneRec-Think: In-Text Reasoning for Generative Recommendation

arXiv 2510.11639 ↗First posted 13 Oct 2025cs.IRcited by 47

On the map: LLM reasoning → LLM reasoning for recommendation

Abstract (arXiv)

The powerful generative capacity of Large Language Models (LLMs) has instigated a paradigm shift in recommendation. However, existing generative models (e.g., OneRec) operate as implicit predictors, critically lacking the capacity for explicit and controllable reasoning-a key advantage of LLMs. To bridge this gap, we propose OneRec-Think, a unified framework that seamlessly integrates dialogue, reasoning, and personalized recommendation. OneRec-Think incorporates: (1) Itemic Alignment: cross-modal Item-Textual Alignment for semantic grounding; (2) Reasoning Activation: Reasoning Scaffolding to activate LLM reasoning within the recommendation context; and (3) Reasoning Enhancement, where we design a recommendation-specific reward function that accounts for the multi-validity nature of user preferences. Experiments across public benchmarks show state-of-the-art performance. Moreover, our proposed "Think-Ahead" architecture enables effective industrial deployment on Kuaishou, achieving a 0.159% gain in APP Stay Time and validating the practical efficacy of the model's explicit reasoning capability.

Key facts. Cited by 47 papers in the map (data through 7 Oct 2026). Placed in LLM reasoning for recommendation, one of 17 directions in LLM reasoning. Builds on 6 of its 39 references that are in the map. First posted on arXiv 13 Oct 2025.

Builds on

6 of 39 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024Leveraging LLM Reasoning Enhances Personalized Recommender Systems22 Jul

Other references · 5

  1. 2022Large Language Models are Zero-Shot Reasonerscited by 4,323
  2. 2024Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameterscited by 1,928
  3. 2025Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learningcited by 159
  4. 2025Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendationcited by 50
  5. 2025RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learningcited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 45.

47 papers.

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  1. 2026Reasoning over Semantic IDs Enhances Generative Recommendationcited by 12
  2. 2026GR2: Generative Reasoning Re-rankercited by 11
  3. 2026Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendationcited by 9
  4. 2025RecGPT-V2 Technical Reportcited by 8
  5. 2026OneReason Technical Reportcited by 8
  6. 2026Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Acceleratorscited by 6
  7. 2026S2GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendationcited by 5
  8. 2026CRAB: Codebook Rebalancing for Bias Mitigation in Generative Recommendationcited by 4
  9. 2026Implicit Reasoning for Large Language Model-based Generative Recommendationcited by 4
  10. 2026Factorized Latent Reasoning for LLM-based Recommendationcited by 3
  11. 2026RelayGR: Scaling Long-Sequence Generative Recommendation via Cross-Stage Relay-Race Inferencecited by 2
  12. 2026TwiSTAR:Think Fast, Think Slow, Then Act,Generative Recommendation with Adaptive Reasoningcited by 2
35 more
  1. 2026SAPO: Step-Aligned Policy Optimization for Reasoning-Based Generative Recommendationcited by 2
  2. 2026LLMs Need Encoders for Semantic IDs Toocited by 2
  3. 2026TRACER: Token ReAssignment for Concept ERasure in Generative Recommendationcited by 2
  4. 2026HoloRec: Holistic Encoding and Interleaved Reasoning for Generative Recommendationcited by 2
  5. 2025HiGR: Industrial-Scale Hierarchical Generative Slate Recommendation Framework in Tencentcited by 1
  6. 2026TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systemscited by 1
  7. 2026Think2Go: Generative Next POI Recommendation with LLM Reasoningcited by 1
  8. 2026Difficulty-Aware Semantic-ID Optimization for Generative Recommendationcited by 1
  9. 2026Recommendation Retrievers Need Verifiers: Universal Generative Reranking for Sequential Recommendationscited by 1
  10. 2026Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendationcited by 0
  11. 2026Awakening Dormant Users: Generative Recommendation with Counterfactual Functional Role Reasoningcited by 0
  12. 2026AIGQ: An End-to-End Hybrid Generative Architecture for E-commerce Query Recommendationcited by 0
  13. 2026AgenticRec: A Recommendation-Oriented Agentic Framework with Progressive Tool-Integrated Reasoning Optimizationcited by 0
  14. 2026Enhancing Local Life Service Recommendation with Agentic Reasoning in Large Language Modelcited by 0
  15. 2026ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendationcited by 0
  16. 2026Learning Evidence Highlighting for Frozen LLMscited by 0
  17. 2026Intent-Driven Semantic ID Generation for Grounded Conversational News Recommendationcited by 0
  18. 2026Integrating Chain-of-Thought into Generative Retrieval: A Preliminary Studycited by 0
  19. 2026On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategiescited by 0
  20. 2026Intuition-Guided Latent Reasoning for LLM-Based Recommendationcited by 0
  21. 2026ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shoppingcited by 0
  22. 2026GR2 Technical Reportcited by 0
  23. 2026Diffusion-GR2: Diffusion Generative Reasoning Re-rankercited by 0
  24. 2026SCOReD: Student-Aware CoT Optimization for Recommendation Distillationcited by 0
  25. 2026LaRec: Unleashing LLM-based Latent Reasoning for Generative Recommendationcited by 0
  26. 2026WhisperRec: Latent Reasoning for Efficient Foundation Recommendation Modelscited by 0
  27. 2026Hierarchical Latent Reasoning for LLM-based Recommendationcited by 0
  28. 2026Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendationcited by 0
  29. 2026Preserving Item Semantics for Free: Rethinking Token Initialization in LLM-Based Generative Recommendationcited by 0
  30. 2026From Prompting to Behavioral Alignment: Personalized LLM Judges for Recommendation Evaluationcited by 0
  31. 2026EchoRec: Multi-Item Prediction-Empowered Generative Recommendation via Cycle-Consistent Preference Alignmentcited by 0
  32. 2026SA-RSQ: A Versatile Sparse Representation Framework for Multi-modal Recommender Systemscited by 0
  33. 2026The Disconnect Between Better Descriptive Reasoning Trace Quality and Recommendation Effectivenesscited by 0
  34. 2026From Interests to Semantic IDs: Retrieval-Grounded Credit Assignment for Generative Recommendationcited by 0
  35. 2026KUAISHOU Explorer LLM-Rec Challenge 2026: Reasoning Generative Recommendationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems
  2. 2025Generative Reasoning Recommendation via LLMs
  3. 2024ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning
  4. 2025ThinkRec: Thinking-based recommendation via LLM
  5. 2026LASAR: Latent Adaptive Semantic Aligned Reasoning for Generative Recommendation
  6. 2025MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback
  7. 2025MindRec: A Diffusion-driven Coarse-to-Fine Paradigm for Generative Recommendation
  8. 2025Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation