Personalized Language Models

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15 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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MIRROR: From Imitation to Internalization in LLM Personalization
Oct 7, 2026Huayi Lai, Jicheng Yang, Min Yi +1Personalized Language Models Personalized Language Model Alignment
Baidu Inc.
Collaborative Personalized Preference Alignment for LLMs under Data Deficiency
Oct 5, 2026Liyan Yang, Yige Yuan, Zhiqin YangPersonalized Language Models Personalized Language Model Alignment
City University of Hong Kong · University of Washington · The Hong Kong University of Science and Technology
The Missing Coefficients: Bayesian Pairwise Merging for Model Personalization
Sep 30, 2026Yaling Shen, Tongtong Wu, Siyuan Yan +1Pairwise Preference Learning Personalized Language Models
Monash University
AMU:Admission and Memory Update for Personalized Conversations---Structured Memory with SLM Guided Control
Sep 29, 2026Tao Hwang, Yishi DiaoConversational Memory Persistent Memory for Language Models
Independent Researcher · Nanchang University
Harness Evolution as Learning: Approximation, Generalization, and Optimization Limits of Self-Improving Personal Agents
Sep 29, 2026Zeyu Gan, Zixuan Gong, Yong LiuAgent Harness Optimization LLM Agent Self-Improvement
Gaoling School of Artificial Intelligence Renmin University of China Beijing, China
Rethinking Personalized Generation: Test-Time Alignment via Factorized Ranking Models
Sep 28, 2026Qiyao Ma, Junshan Zhang, Zhe ZhaoLearning to Rank LLM Reranking
University of California, Davis
Over-Personalization Is a Decision Failure: Generation-Induced Apply Bias in LLMs
Sep 28, 2026Haeun Jang, Yonghyun Jun, Hwanhee LeePersonalized Language Models LLM Decision-Making
Department of Artificial Intelligence, Chung-Ang University
From Static Personal Values to Contextualized Personalization: Bayesian Personalized Value Alignment for LLMs
Sep 24, 2026Hanze Guo, Aixuan Song, Jing Yao +4LLM Alignment Personalized Language Models
Gaoling School of Artificial Intelligence, Renmin University of China · Microsoft Research Asia · Beijing Key Laboratory of Research on Large Models and Intelligent Governance +1
COPE: Continual Personalization of LLMs under Sparse User Feedback via User Embeddings and Self-Evaluation
Sep 22, 2026Ruike Cao, Fugen Yao, Liang Dong +3Continual Learning for LLMs Personalized Language Models
University of Science and Technology of China · Qwen Business Unit of Alibaba
LoRA-generating hypernetworks for efficient on-device LLM generative personalization
Sep 21, 2026Sean Augenstein, Li Ding, Jihwan Lee +2On-Device Language Model Inference Low-Rank Adaptation
Google · Formerly at Google, work done while at Google
From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Health
Sep 21, 2026He Hu, Yucheng Zhou, Qianning Wang +8Personalized Language Models Medical LLMs
Toward Personalized Sleep Guidance from Wearable Data Using Language Models
Sep 18, 2026Yusheng Tan, Running Zhao, Sofia Angel +14Small Language Models Personalized Language Models
The University of Chicago · Baylor College of Medicine · Georgetown University School of Medicine
Tailored to you: longitudinal effects of personalising language models
Sep 17, 2026Canfer Akbulut, Justine Breuch, Arianna Manzini +6Human-AI Interaction Personalized Language Models
Google DeepMind
Creating an Atomic User Model for Personality-Aware Large Language Model Interaction
Sep 10, 2026B. Sankar, Deepthika S, Pawni Yadav +1LLM Personalization Personality 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
From Retrieval to Weights: Parametric Individualization of Small Language Models with Individual Text Corpora
Sep 9, 2026Christoph Wigbels, Ali Abusaleh, Markus T. Jansen +2Memory-Augmented Language Models Memorization in Language Models
Bergische Universität Wuppertal · Goethe-Universität Frankfurt
HyperTrace: Hypothesis-Based Preference Tracing for Online LLM Personalization
Sep 9, 2026Jianzhi Shen, Keyu Mao, Minghao Shao +7LLM Personalization Personalized Language Models
Johns Hopkins University · Institute of Science Tokyo · NYU Tandon +1
Less Is Personal: Learning Minimal Sufficient User Profiles for Personalized Language Models
Sep 8, 2026Minghang Liu, Qiang Qiu, Yuanzhuo Wang +2LLM Personalization Memory-Augmented Language Models
State Key Laboratory of AI Safety, Institute of Computing Technology, CAS · University of Chinese Academy of Sciences, Beijing, China
VIBE-Bench: Evaluating Personalized Large Language Models When Profiles Don't Mean Preferences
Sep 1, 2026Yiwen Jiang, Yang Deng, Stephanie Fong +9LLM Evaluation LLM Personalization
1Monash University · 2Singapore Management University · University of Liverpool +1
Cautious Context Steering for Language Model Personalization
Aug 6, 2026Gihoon Kim, Jeyoung Lee, Suhan Woo +4Language Model Steering LLM Personalization
Yonsei University · Hyundai Motors Company · Korea Institute of Science and Technology
LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs
Aug 5, 2026Jiahao Zhang, Yongzhi Tong, Zelin Fu +4LLM Evaluation LLM Personalization
1Shenzhen University of Advanced Technology · ♣Work done at Ant Group · 2Ant Group +1
Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs
Aug 5, 2026Kuanysh Akhmetzhanov, Jurn-Gyu ParkFine-Tuning On-Device Language Model Inference
Department of Computer Science, Nazarbayev University, Astana 010000, Kazakhstan
Small Is Enough: Per-User Style Rewriting of AI-Edited Text via LoRA Adapters
Jul 31, 2026Antorweep ChakravortyControllable Text Generation Small Language Models
University of Stavanger, Norway
Linguistic Monoculture in LLM-Assisted Language Use
Jul 29, 2026Suhas Thejaswi, Juhi Kulshreshta, Lutz OettershagenPersonalized Language Models
Aalto University, Finland · University of Liverpool, United Kingdom
PrefReward: Learning User Preference Matrix for Personalized Text Generation
Jul 23, 2026Yue Wu, Chengbing Wang, Yimeng Bai +3Personalized Language Models Personalized Text Generation
University of Science and Technology of China · The Chinese University of Hong Kong · National University of Singapore
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
Personalizing MLLMs via Reinforced Multimodal Reference Game
Jun 27, 2026Deepayan Das, Davide Talon, Yiming Wang +2Multimodal Large Language Models Personalized Language Models
University of Trento, Trento, Italy · Fondazione Bruno Kessler, Trento, Italy
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
Latent Personal Memory: Represent personal memory as dynamic soft prompts
Jun 18, 2026Debrup Das, Avinash Amballa, Yashas Malur Saidutta +3LLM Inference Efficiency Memory-Efficient Fine-Tuning
University of Massachusetts Amherst · Samsung Research America
User as Engram: Internalizing Per-User Memory as Local Parametric Edits
Jun 17, 2026Bojie LiKnowledge Editing LLM Personalization
Pine AI
Group Preference Collapse in Personalized Multimodal Large Language Models
Jun 12, 2026Fan Lyu, Wenqi Zhang, Joost van de WeijerMultimodal Large Language Models Personalized Language Models
Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Spain, 08193

Oct 7, 2026, cs.CLJ/K move · Enter open · S save

MIRROR: From Imitation to Internalization in LLM Personalization

Huayi Lai, Jicheng Yang, Min Yi, Chong Meng

Baidu Inc.

Personalized Language Models Personalized Language Model Alignment Language Model Distillation On-Policy Self-Distillation

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The demand for personalized LLMs is shifting from style imitation toward content quality. We investigate whether self-distillation can bridge this gap in existing fine-tuning paradigm. To address this limitation, we introduce MIRROR(Meta- personalization by Internalizing Reference-Revealed On-policy Reflections), a novel self-distillation framework that shifts LLM personalization from imitation toward preference internalization. First, we replace reference-token imitation with reference-revealed on-policy self-distillation, aligning the model's next-token distributions along its own generation trajectories with those of its reference-conditioned self, thereby internalizing user preferences rather than reproducing reference wording.Second, we introduce MIRROR-F, a focal plug-in that augments on-policy distributional alignment with selective supervision over informative reference tokens, thereby strengthening content generation while preserving user-specific expression. Across three personalized generation benchmarks, two model scales, and complementary reference-based and LLM-based evaluations, MIRROR and MIRROR-F achieve leading overall personalization performance and superior text quality, while exhibiting less catastrophic forgetting than SFT-based baselines on three unseen personalized generation tasks. The gains are consistent across model scales and application scenarios, translating to improved performance in LLM personalization tasks.

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