LLM Personalization

LLM: Large Language Model

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10 papers in the last four weeks, up 25% on the four weeks before. 0.1% of all new papers.

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I wanted it to feel more personal: Customization of social AI as AI individualism in practice
Jul 20, 2026Marita Skjuve, Anna Grøndal Larsen, Asbjørn Følstad +2LLM Personalization Human-AI Interaction
SINTEF, Oslo, Norway · Boost.ai, Stavanger, Norway · SINTEF, Oslo, and University of Oslo, Norway +1
PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic Tasks
Jul 16, 2026Bowen Jiang, Yuan Yuan, Zhuoqun Hao +12Personal AI Agents LLM Personalization
University of Pennsylvania · Meta Recommendation Systems · MIT
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion
Jul 15, 2026Fengzhuo Zhang, Zhuoran Yang, Dirk BergemannSupervised Fine-Tuning LLM Serving
Yale University, 30 Hillhouse Ave., New Haven, CT 06520, USA
PaperRouter-Agent: A Content-Grounded LLM Agent for Personalized Hierarchical Paper Routing
Jul 13, 2026Keshen Zhou, Lintao Wang, Suqin Yuan +3LLM Personalization Retrieval-Augmented Classification
University of Sydney, Sydney, NSW 2006, Australia
Personalized Emotional Intelligence in Generative AI through Symbolic Affective Reasoning
Jul 12, 2026Qing Lin, Mengmi ZhangLLM Personalization Neuro-Symbolic AI
College of Computing and Data Science, Nanyang Technological University, Singapore
APeB: Benchmarking Personalization Ability of Large Language Model Agents
Jul 3, 2026Garry Yang, Zizhe Chen, Xinru Chen +9LLM Personalization LLM Agent Evaluation
1The Chinese University of Hong Kong · 2ByteDance
DRIFTLENS: Measuring Memory-Induced Reasoning Drift in Personalized Language Models
Jul 2, 2026Xi Fang, Weijie Xu, Yingqiang Ge +3LLM Personalization Memory-Augmented Language Models
1Amazon
Fund2Persona: A Framework for Building and Refining Financial Advisor Personas from Fund Disclosure Data
Jun 29, 2026Suhwan Park, Hoyoung Lee, Zhangyang Wang +5Financial Services LLM Personalization
UNIST · LinqAlpha · University of Texas at Austin +3
Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis
Jun 26, 2026Thomas S. Paula, Lucas S. Kupssinskü, Rodrigo C. BarrosLLM Personalization Small Language Models
MALTA, Machine Learning Theory and Applications Lab, PUCRS, Porto Alegre, Brazil · Kunumi Institute, Brazil
SocialPersona: Benchmarking Personalized Profiling and Response with Multimodal Social-Media Context
Jun 25, 2026Qinkai Zhang, Yanyan Zhao, Xin Lu +3LLM Personalization Multimodal Large Language Models
Harbin Institute of Technology
Towards Root Memories: Benchmarking and Enhancing Implicit Logical Memory Retrieval for Personalized LLMs
Jun 22, 2026Hongxun Ding, Xiang Yu, Chengbing Wang +4LLM Personalization Memory-Augmented Language Models
University of Science and Technology of China, China
MindTailor: Personalized Emotional Support via Post History-Grounded Case Formulation and Collaborative Refinement
Jun 20, 2026Suhyun Han, Kyunghyun Cho, JinYeong BakMental Health Counseling Emotional Support Conversation
Sungkyunkwan University · Suwon · South Korea +3
GRAG: Generic Response-Augmented Generation Framework for Personalized Conversational Systems
Jun 19, 2026Junfeng Liu, Christopher T. Symons, Ranga Raju VatsavaiLLM Grounding LLM Personalization
North Carolina State University · Raleigh, NC, USA · Lirio, Inc. +1
User as Engram: Internalizing Per-User Memory as Local Parametric Edits
Jun 17, 2026Bojie LiKnowledge Editing LLM Personalization
Pine AI
DRFLOW: A Deep Research Benchmark for Personalized Workflow Prediction
Jun 16, 2026Md Tawkat Islam Khondaker, Raymond Li, Muhammad Abdul-Mageed +2LLM Personalization Deep Research Agents
Canada Research Chair in NLP and ML · The University of British Columbia
MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision
Jun 15, 2026Ye Jin, Yangyang Xu, Jun Zhu +1LLM Personalization Hierarchical Memory
Beijing University of Posts and Telecommunications · Tsinghua University · Shanghai Jiao Tong University
Evaluating LLM Personalization via Semantic Constraint Verification
Jun 15, 2026Xuran Li, Guanqin Zhang, Imran Razzak +4LLM Evaluation LLM Personalization
University of New South Wales · 2Mohamed bin Zayed University of Artificial Intelligence · 3The Technology Innovation Institute +1
Substrate Asymmetry in User-Side Memory: A Diagnostic Framework
Jun 10, 2026Youwang DengRetrieval-Augmented Generation LLM Personalization
EpistemicaLab — Independent Research
Selection, Not Salience: The Shape and Limits of Personalization in Social Highlighting
Jun 9, 2026Kazuki Nakayashiki, Keisuke WatanabeLLM Personalization User Preference Modeling
Glasp Inc.
Memory Beyond Recall: A Dual-Process Cognitive Memory System for Self-Evolving LLM Agents
Jun 8, 2026Tianxiang Fei, Mingyang Song, Mao Zheng +1LLM Personalization Cognitive Modeling
Large Language Model Department, Tencent
Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs
Jun 8, 2026Yanyan Luo, Xue Han, Ruiqiao Bai +10LLM Personalization LLM Safety
Jiutian Research, China Mobile Jiutian Artificial Intelligence Technology (Beijing) Co., Ltd., Beijing, China. · Xinjiang Technical Institute of Physics and Chemistry, Chinese2026 Academy of Sciences, Beijing, China.
Personal Salience: Highlighting Is Social, but Individuality Lives in Selection
Jun 8, 2026Kazuki Nakayashiki, Keisuke WatanabeLLM Personalization User Preference Modeling
Glasp Inc.
Testing the Black Box: Structural Barriers to Independent Evaluation of Consumer-Facing Health LLMs
Jun 7, 2026Rahul Gorijavolu, Kaushik Madapati, Pritika Vig +7LLM Evaluation LLM Sycophancy
MIT Critical Data, Massachusetts Institute of Technology, Cambridge, MA, USA · School of Medicine, Johns Hopkins University, Baltimore, MD, USA · Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA +10
Re-Centering Humans in LLM Personalization
Jun 4, 2026Lechen Zhang, Jiarui Liu, Tal AugustHuman Preference Evaluation LLM Evaluation
†University of Illinois Urbana-Champaign · ♯Carnegie Mellon University
Self-supervised User Profile Generation for Personalization
Jun 3, 2026Clark Mingxuan Ju, Yuwei Qiu, Tong Zhao +1LLM Personalization Self-Supervised Learning
Snap Inc. · Bellevue, WA USA
PersonaTree: Structured Lifecycle Memory for Person Understanding in LLM Agents
Jun 3, 2026Yubo Hou, Jingwei Song, Hongbo Zhang +4LLM Personalization LLM Agent Memory
School of ASEE, Beihang University, Beijing, China · The University of Hong Kong, Hong Kong, China · Peking University, Beijing, China +3
Beyond Retrieval: Learning Compact User Representations for Scalable LLM Personalization
Jun 3, 2026Heng Cao, Fan Zhang, Jian Yao +8LLM Personalization Prompt Tuning
*Microsoft · †The Hong Kong Polytechnic University · ⋄Shanghai International Studies University +1
$Ψ$ -Bench: Evaluating Persona-Sensitive Influencing in Persuasive Dialogues
Jun 1, 2026Peixuan Han, Hongyi Du, Jiayu Liu +3LLM Personalization LLM Agent Evaluation
University of Illinois Urbana-Champaign
Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization
Jun 1, 2026Liang Wang, Xinyi Mou, Xiaoyou Liu +3LLM Personalization User Modeling
School of Data Science, Fudan University · 3OPPO · 2Shanghai Innovation Institute
From Empathy to Personalized Empathy: Adapting Empathetic Strategies to Individual Users
May 30, 2026Wuqiang Zheng, Chengbing Wang, Yilin Yang +6Reward Modeling LLM Personalization
University of Science and Technology of China · 2Huawei Technologies · 3China Academy of Cyber

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I wanted it to feel more personal: Customization of social AI as AI individualism in practice

Marita Skjuve, Anna Grøndal Larsen, Asbjørn Følstad, Nena van As+1

SINTEF, Oslo, Norway · Boost.ai, Stavanger, Norway · SINTEF, Oslo, and University of Oslo, Norway+1

LLM Personalization Human-AI Interaction Human-AI Co-Creation

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Despite the growing availability of customizable social artificial intelligence (AI), such as ChatGPT, Grok, and Character.ai, we know little about how users actively shape social AI to reflect their personal preferences. This study examines why and how users (N = 169) customize social AI through the lens of the newly developed concept of AI individualism. Through reflexive thematic analysis of open-ended responses, we identified several motivations for customization, including (1) enhanced pragmatic support, (2) emotional support or companionship, (3) trust and reliability, (4) pushback, (5) a tailored degree of human likeness, (6) creativity or playfulness, and (7) having the AI function as an extension of the self. In line with the concept of AI individualism, our findings show that, for many users, customization is a co-creative process between the human and the AI that is perceived as strengthening support, autonomy, ownership, and engagement, potentially contributing to a closer and more personal relationship. Through customization users may come to view social AI as a personalized social resource that increases their sense of individualism, freedom, and control. We discuss how these perceptions may foster pseudo-autonomy, whereby customization creates an illusion of individual control over powerful social AI systems.

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