Personalized Text Generation

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Overview

Personalized text generation studies how to make model outputs reflect an individual’s voice, preferences, and situation while remaining useful and faithful to the task. Common approaches retrieve relevant details from user profiles or interaction histories, steer generation toward style or preference representations, and optimize models with preference rewards or feedback-driven selection. Evaluation uses writing and recommendation benchmarks, style and authorship measures, and human judgments of quality, fidelity, and persuasiveness. A central challenge is that automated metrics can miss whether text genuinely feels personal, while collecting the signals needed for personalization raises concerns about sparse data, privacy, fairness, and preserving each user’s distinct voice.

Latest papers

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23 papers2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

  1. The Impact of Personalized AI Response Suggestions on Content Creators' Direct Messaging

    Oct 26, 2026Eun Jeong Kang, Jingruo Chen, Jadon Geathers +1Human-AI CollaborationPersonalized Text Generation

    Cornell University, USA

  2. From Prompt Rules to Golden Data Model: Production-Scale Generation of Personalized, Compliant Pharmaceutical Claims

    Oct 22, 2026Suyash Mishra, Qiang Li, Subhabrata Adak +3Personalized Text GenerationText Generation

    aRoche · bAccenture · cInvolead

  3. Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization

    Oct 1, 2026Parthiv Chatterjee, Kashish Kanjaria, Vashisth Purani +2User ModelingState Tracking

    KDM Lab, Dhirubhai Ambani University · Dhirubhai Ambani University · LCS2 Lab, Indian Institute of Technology Delhi

  4. FAVoR: Measuring and Mitigating Author-Style Homogenization in Federated Personalized Generation

    Sep 25, 2026Lu Han, Jingyao Zhang, Katy Ilonka Gero +1Personalized Language ModelsPersonalized Text Generation

    School of Computer Science, The University of Sydney Sydney, NSW 2006, Australia

  5. Generate to Explore, Select to Exploit: Aligning LLM-based Headline Generation with Personalized Recommendation

    Sep 14, 2026Yi Chen, Rufeng Cheng, Qiang Xie +1RL for Language ModelsLLM Personalization

    Baidu Inc., Beijing, China

  6. Creating an Atomic User Model for Personality-Aware Large Language Model Interaction

    Sep 10, 2026B. Sankar, Deepthika S, Pawni Yadav +1LLM PersonalizationPersonality Modeling in Language Models

    Department of Mechanical Engineering, Indian Institute of Science (IISc), Bengaluru, 560012, Karnataka, India · Department of Design and Manufacturing, Indian Institute of Science (IISc), Bengaluru, 560012, Karnataka, India

  7. LITERARYBIGFIVE: Author-Personalized Text Generation in a Unified Interpretable Space

    Aug 24, 2026Jinghui Zhang, Lang Gao, Ao Li +5Language Model SteeringLLM Interpretability

    MBZUAI · Shandong University · Independent Researcher +2

  8. PersonalBench: Measuring the Authorship Gap in LLM Personalization

    Aug 20, 2026Yash Ganpat SawantPersonalized Language ModelsPersonalized Text Generation

    Independent AI Researcher

  9. Privacy Personalization Trade offs in LLMs: The Impact of Stylometric Signal Reduction on User-Specific Text Generation

    Aug 18, 2026Muhammed Nazmul Arefin, Omar Jamal HammadPersonalized Text GenerationPersonalized Language Models

    Information and Computer Science, King Fahd University of Petroleum and Minerals, Dhahran, Dammam, Saudi Arabia

  10. Training-Free Token-Level Steering for LLM Personalized Co-Writing

    Aug 6, 2026Wenhao Mao, Chengbin Hou, Weixiao Wang +4Language Model SteeringPersonalized Text Generation

    1Tsinghua University · Fuyao University of Science and Technology · 3Henan Provincial People’s Hospital

  11. Contextualized Counterspeech Can Be More Persuasive Than Generic Counterspeech

    Jul 28, 2026Lorenzo Cima, Alessio Miaschi, Amaury Trujillo +3Personalized Text GenerationText Generation

    University of Pisa and IIT-CNR, Pisa, Italy · ILC-CNR, Pisa, Italy · IIT-CNR, Pisa, Italy +1

  12. PrefReward: Learning User Preference Matrix for Personalized Text Generation

    Jul 23, 2026Yue Wu, Chengbing Wang, Yimeng Bai +3Personalized Language ModelsPersonalized Text Generation

    University of Science and Technology of China · The Chinese University of Hong Kong · National University of Singapore

  13. On the Limits of Steering Vectors for Preference-Aligned Generation

    Jul 2, 2026Melanie Subbiah, Zara Hall, Kathleen McKeownLLM AlignmentLanguage Model Steering

    Department of Computer Science, Columbia University, USA

  14. Pareto-Guided Teacher Alignment for Fair Personalized Text Generation

    Jun 8, 2026Tunazzina IslamLanguage Model Bias EvaluationMulti-Objective Language Model Alignment

    Department of Computer Science Purdue University, West Lafayette Indiana 47907, USA

  15. Re-Centering Humans in LLM Personalization

    Jun 4, 2026Lechen Zhang, Jiarui Liu, Tal AugustHuman Preference EvaluationLLM Evaluation

    †University of Illinois Urbana-Champaign · ♯Carnegie Mellon University

  16. StoryLens: Preference-Aligned Story Rewriting via Context-Aware Narrative Enrichment

    May 27, 2026Hanwen Cui, Yuting Mei, Yuhang Fu +2Reward ModelingPersonalized Text Generation

    Beijing University of Posts and Telecommunications · AIM3 Lab, Renmin University of China · Nanyang Technological University

  17. Argumentation-Based Person-Tailored Storytelling for Older Adults: A Reflective Hybrid AI Architecture

    May 11, 2026Jayalakshmi Baskar, Vera C. Kaelin, Kaan Kilic +1Argument MiningLLM Agent Evaluation

    Umeå University, Department of Computing Science, Sweden

  18. Taklif.AI: LLM-Powered Platform for Interest-Based Personalized College Assignments

    May 7, 2026Zaki Kurdya, Mohammed Zuqlam, Salem Amassi +2LLM PersonalizationGenerative AI in Education

    Faculty of Information Technology The Islamic University of Gaza Gaza, Palestine

  19. Career-Aware Resume Tailoring via Multi-Source Retrieval-Augmented Generation with Provenance Tracking: A Case Study

    May 6, 2026Kumar AbhinavRetrieval-Augmented GenerationAgentic RAG

  20. Sparse Personalized Text Generation with Multi-Trajectory Reasoning

    Apr 27, 2026Bo Ni, Haowei Fu, Qinwen Ge +10LLM PersonalizationPersonalized Text Generation

    Department of Computer Science, Vanderbilt University, Nashville, Tennessee · Adobe Research, San Jose, California · University of Orgeon, Eugene, Oregon

  21. PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context

    Apr 9, 2026Steven Au, Baihan LinPersonalized Text GenerationGraph Retrieval-Augmented Generation

    Icahn School of Medicine at Mount Sinai

  22. LLM-Based Intelligent Notification Composition: From Static Personalization to Context-Aware Persuasive Messaging

    Mar 22, 2026Nilesh AgrawalPersonalized Text GenerationLLM Personalization

    Independent Researcher, Seattle, WA, USA

  23. Evaluating Style-Personalized Text Generation: Challenges and Directions

    Aug 8, 2025Anubhav Jangra, Bahareh Sarrafzadeh, Silviu Cucerzan +2LLM-as-a-JudgeLanguage Model Generation Evaluation

    Columbia University, USA · Microsoft, USA · The University of York, UK