mlsanityData to 14 Oct 2026

Personalized Generation In Large Model Era: A Survey

arXiv 2503.02614 ↗First posted 4 Mar 2025cs.IRcited by 45

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Abstract (arXiv)

In the era of large models, content generation is gradually shifting to Personalized Generation (PGen), tailoring content to individual preferences and needs. This paper presents the first comprehensive survey on PGen, investigating existing research in this rapidly growing field. We conceptualize PGen from a unified perspective, systematically formalizing its key components, core objectives, and abstract workflows. Based on this unified perspective, we propose a multi-level taxonomy, offering an in-depth review of technical advancements, commonly used datasets, and evaluation metrics across multiple modalities, personalized contexts, and tasks. Moreover, we envision the potential applications of PGen and highlight open challenges and promising directions for future exploration. By bridging PGen research across multiple modalities, this survey serves as a valuable resource for fostering knowledge sharing and interdisciplinary collaboration, ultimately contributing to a more personalized digital landscape.

Key facts. Cited by 45 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Mar 2025.

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Citing papers per year: 2025: 19; 2026: 26.

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  1. 2025KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Modelscited by 71
  2. 2025SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Modelscited by 36
  3. 2025Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?cited by 34
  4. 2025LaMP-QA: A Benchmark for Personalized Long-form Question Answeringcited by 31
  5. 2025A Survey of Personalization: From RAG to Agentcited by 27
  6. 2025Latent Inter-User Difference Modeling for LLM Personalizationcited by 21
  7. 2026Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directionscited by 14
  8. 2025Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoderscited by 13
  9. 2025CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steeringcited by 13
  10. 2025PrivacyBench: A Conversational Benchmark for Evaluating Privacy in Personalized AIcited by 12
  11. 2025UnicEdit-10M: A Dataset and Benchmark Breaking the Scale-Quality Barrier via Unified Verification for Reasoning-Enriched Editscited by 10
  12. 2025SteerX: Disentangled Steering for LLM Personalizationcited by 7
33 more
  1. 2025Learning from Natural Language Feedback for Personalized Question Answeringcited by 5
  2. 2026One Size, Many Fits: Aligning Diverse Group-Wise Click Preferences in Large-Scale Advertising Image Generationcited by 5
  3. 2026Long Context, Less Focus: A Scaling Gap in LLMs Revealed through Privacy and Personalizationcited by 5
  4. 2025Personalized Reward Modeling for Text-to-Image Generationcited by 4
  5. 2026Multi-Disciplinary Dataset Discovery from Citation-Verified Literature Contextscited by 4
  6. 2026CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMscited by 4
  7. 2026EXACT: Explicit Attribute-Guided Decoding-Time Personalizationcited by 4
  8. 2026Thinking with Frames: Generative Video Distortion Evaluation via Frame Reward Modelcited by 3
  9. 2026Rethinking Personalization in Large Language Models at the Token Levelcited by 3
  10. 2025LLM-Generated Ads: From Personalization Parity to Persuasion Superioritycited by 2
  11. 2026Vidmento: Creating Video Stories Through Context-Aware Expansion With Generative Videocited by 2
  12. 2026Preference-Aware Rubric Learning for Personalized Evaluationcited by 2
  13. 2025When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detectioncited by 1
  14. 2025PREFINE: Personalized Story Generation via Simulated User Critics and User-Specific Rubric Generationcited by 1
  15. 2026Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Predictioncited by 1
  16. 2026Improving User Privacy in Personalized Generation: Client-Side Retrieval-Augmented Modification of Server-Side Generated Speculationscited by 1
  17. 2026InEdit-Bench: Benchmarking Intermediate Logical Pathways for Intelligent Image Editing Modelscited by 1
  18. 2026ChildEval: When large language models meet children's personalitiescited by 1
  19. 2025Plan-and-Refine: Diverse and Comprehensive Retrieval-Augmented Generationcited by 0
  20. 2025AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositionscited by 0
  21. 2025Few-Shot and Training-Free Review Generation via Conversational Promptingcited by 0
  22. 2026OmniFashion: Towards Generalist Fashion Intelligence via Multi-Task Vision-Language Learningcited by 0
  23. 2026EpiPersona: Persona Projection and Episode Coupling for Pluralistic Preference Modelingcited by 0
  24. 2026Hierarchical Multi-Persona Induction from User Behavioral Logs: Learning Evidence-Grounded and Truthful Personascited by 0
  25. 2026ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generationcited by 0
  26. 2026SparSEEty: Extracting Tokens from Sparsity-Exploiting LLM Serving Systems via Deterministic Side Channelscited by 0
  27. 2026Identifying Harm in Personalized, Generative AI Systems Requires User-Centered Auditing at the Interaction Levelcited by 0
  28. 2026Less Is Personal: Learning Minimal Sufficient User Profiles for Personalized Language Modelscited by 0
  29. 2026Graph-Based Personalized Memory for LLM Agents: Representation, Evolution, Retrieval, and Evaluationcited by 0
  30. 2026One Prompt Does Not Fit All: Self-Meta-Evolve for Personalized Information Extractioncited by 0
  31. 2026LogicTree-RAG: Logic Tree-guided Retrieval-Augmented Generation for Long-form Patent Draftingcited by 0
  32. 2026Rubric-Aware On-Policy Self-Distillation for LLM Personalizationcited by 0
  33. 2026Anti-Persona: Disrupting Unauthorized Identity Binding and Recognition in Personalized Vision--Language Modelscited by 0