Persona-Conditioned Generation

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12 papers in the last four weeks, up 300% on the four weeks before. 0.1% of all new papers.

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Latest papers 71

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Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation
Jul 12, 2026Song-Ze Yu, Joseph Suh, Serina Chang +1Human Behavior Simulation Large Language Model-Based Social Simulation
University of California, Berkeley
AI YOU Town: Make Friends and Money with Your Digital Twin
Jul 12, 2026Yan Lin, Yuyang Dai, Jiahui Geng +1Personality Modeling in Language Models Digital Twins
INSAIT, Sofia University “St. Kliment Ohridski” · Newcastle University · Linköping University
Behavior-Adaptive Conversational Agents: Toward a Fluid Personality Framework
Jul 1, 2026Hasibur Rahman, Smit DesaiPersonality Modeling in Language Models Conversational Agents
Northeastern University Boston, MA, USA
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
Refusal Lives Downstream of Persona in Chat Models
Jun 24, 2026Viola Zhong, Qirui LiLanguage Model Steering LLM Refusal Behavior
Independent · Department of Mathematics Pohang University of Science and Technology
Self-Stigma Is Not a Monolith, but Generic Empathy Is: Persona-Conditioned LLM Support for People Who Use Drugs
Jun 22, 2026Layla Bouzoubaa, Rezvaneh RezapourHealthcare User Modeling
Department of Information Science Drexel University Philadelphia, PA
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
HyPE: Category-Aware Hypergraph Encoding with Persistent Edge Embeddings for Persona-Grounded Dialogue
Jun 11, 2026Sangwon Youn, Yoonjin Jang, Youngjoong KoPersonality Modeling in Language Models Hypergraph Neural Networks
Sungkyunkwan University, Suwon, Republic of Korea
When Role-playing, Do Models Believe What They Say?
Jun 9, 2026Benjamin Sturgeon, David Africa, Sid BlackLarge Language Model-Based Role-Play Simulation Personality Modeling in Language Models
MATS
ZIPP:Zero-shot Image Personalization from Personas
Jun 7, 2026Harini SI, Somesh Singh, Yaman Kumar Singla +2T2I Generation Persona Prompting
Adobe Media and Data Science Research (MDSR) · SUNY at Buffalo · IIIT-Delhi
REACT 2026: The Fourth Multiple Appropriate Facial Reaction Generation Challenge: Personalised MAFRG and Appropriate EEG Reaction Prediction
Jun 6, 2026Siyang Song, Micol Spitale, Zijian Wu +11Conditional Image Generation Multimodal Generation
University of Exeter United Kingdom · Politecnico di Milano Milan, Italy · Nanjing University of Science and Technology China +8
Beyond Individual Personas: Aligning Synthetic Dialogue to Population-Level Behavior Distributions
Jun 5, 2026Xinyi Liu, Rinat Khaziev, Hooshang Nayyeri +3Synthetic Data Generation Persona-Conditioned Generation
1Amazon · University of Illinois Urbana–Champaign · University College London
Does Persona Make LLMs K-pop Fans? A Pilot Study of LLM-Based Online Concert Audience Agents
Jun 5, 2026Kirak Kim, Hyojin Kim, Yejin Son +2Multi-Agent LLM Systems LLM Agent Evaluation
Graduate School of Culture Technology, KAIST, Daejeon, South Korea · Department of Artificial Intelligence, Yonsei University, Seoul, South Korea
Synthetic Personalities: How Well Can LLMs Mimic Individual Respondents Using Socio-Economic Microdata?
Jun 3, 2026Leonard Kinzinger, Jochen HartmannComputational Social Science User Modeling
aTUM School of Management, Technical University of Munich, 80333 Munich, Germany
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
COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation
May 29, 2026Tianyi Zhou, Dongrui Liu, Leitao Yuan +2LLM Agent Skill Learning Persona-Conditioned Generation
Shanghai Artificial Intelligence Laboratory
Persona Conditioning of Brand Recommendations in Retrieval-Augmented Commercial Chat: A Prominence-Stratified Cross-Provider Audit
May 28, 2026Will Jack, Noah Lehman, Keller Maloney +1LLM Personalization Recommender Systems
Unusual
The Ethics of LLM Sandbox and Persona Dynamics
May 27, 2026Tim Gebbie, Stewart GebbieLLM Guardrails LLM Safety Alignment
Dept. Statistical Sciences, University of Cape Town, South Africa
Personality, Role, and Expressive Style in Large Language Models: An Interactionist Analysis
May 27, 2026Moe Nagao, Koichiro Terao, Mikio Nakano +1Large Language Model-Based Role-Play Simulation LLM Prompting
Okayama Prefectural University · AI & Humans Lab · C4A Research Institute
Algorithmic Fragility and Persona Bias in LLM-Generated Autistic Communication
May 26, 2026Naba Rizvi, Mohammed Rizvi, Harper Strickland +2Autism Spectrum Disorder Social Bias in Language Models
University of California · Georgia Institute of Technology · Cardiff University
As X, Do Y: How Persona and Task Combine in Instruction-Tuned LLMs
May 22, 2026Eric XuLLM Prompting LLM Interpretability
Independent Researcher
Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost?
May 16, 2026Prateek Rajput, Yewei Song, Iyiola E. Olatunji +2Personality Modeling in Language Models LLM Post-Training
University of Luxembourg, Esch-sur-Alzette, Luxembourg
Patients With Personality: Realistic Patient Simulation through Controlled Diversity and Selective Disclosure
May 13, 2026Moritz Schlager, Friederike Jungmann, Samuel Schmidgall +12Personality Modeling in Language Models Persona-Conditioned Generation
Technical University of Munich (TUM) · Munich Center for Machine Learning (MCML) · TUM University Hospital +3
Beyond Cooperative Simulators: Generating Realistic User Personas for Robust Evaluation of LLM Agents
May 13, 2026Harshita Chopra, Kshitish Ghate, Aylin Caliskan +3Human Behavior Simulation LLM Agent Evaluation
University of Washington, Seattle, WA · Georgetown University, Washington, DC
How Well Do Large Language Models Capture Human Personality?
May 12, 2026Aanisha Bhattacharyya, Yaman Kumar Singla, Rajiv Ratn Shah +2LLM Evaluation Representation Collapse
Adobe Media and Data Science Research (MDSR) · IIIT-Delhi · SUNY at Buffalo
UserGPT Technical Report
May 9, 2026Yunyi Xuan, Hao Yi, Fengling Mao +9LLM Personalization User Modeling
1Alibaba Group
Post-training makes large language models less human-like
May 8, 2026Marcel Binz, Elif Akata, Abdullah Almaatouq +76LLM Evaluation LLM Alignment
PersonaGest: Personalized Co-Speech Gesture Generation with Semantic-Guided Hierarchical Motion Representation
May 8, 2026Junchuan Zhao, Qifan Liang, Ye WangRepresentation Learning Human Motion Generation
School of Computing, National University of Singapore
PersonaGesture: Single-Reference Co-Speech Gesture Personalization for Unseen Speakers
May 7, 2026Xiangyue Zhang, Yiyi Cai, Kunhang Li +6Human Motion Generation Co-Speech Gesture Generation
The University of Tokyo · Shanda AI Research Tokyo · Renmin University +1
Dynamic In-Group Persona Generation for Enhancing Human-AI Rapport
May 5, 2026Yoonseok Oh, Inseo Jung, Jinkyu Kim +3Human-AI Interaction Persona Prompting
Korea University · Kakao Mobility · University of California, Berkeley

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Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation

Song-Ze Yu, Joseph Suh, Serina Chang, David M. Chan

University of California, Berkeley

Human Behavior Simulation Large Language Model-Based Social Simulation Persona-Conditioned Generation

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We present Anamnesis, an interactive system for demographically controllable survey simulation using large language models. Open-source and designed for non-technical users/researchers, Anamnesis enables the prototyping and stress-testing of survey instruments on virtual populations rather than real human subjects. The platform operationalizes the recently introduced Anthology and Alterity frameworks, which use structured narrative backstories to condition model responses, within a unified web interface. It supports open-ended generation, probabilistic demographic resampling, and multimodal (image and audio) surveys. We evaluate the system through two case studies: (1) replicating segments of Pew Research Center's American Trends Panel (ATP) on political typology and biomedical issues and (2) emulating human preference in the New Yorker Caption Contest. In both cases, Anamnesis produces opinion distributions that more closely match real-world survey data than standard persona-prompting baselines, offering a transparent, reproducible, and open-source alternative to proprietary simulation services.

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