Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Haoming, Yang, Boyuan, Yin, Xiangyu, Gao, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
by: Qiao, Shuofei, et al.
Published: (2024)
by: Qiao, Shuofei, et al.
Published: (2024)
Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency
by: Xu, Haoming, et al.
Published: (2026)
by: Xu, Haoming, et al.
Published: (2026)
Teaching According to Students' Aptitude: Personalized Mathematics Tutoring via Persona-, Memory-, and Forgetting-Aware LLMs
by: Wu, Yang, et al.
Published: (2025)
by: Wu, Yang, et al.
Published: (2025)
PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
by: Jiang, Hang, et al.
Published: (2023)
by: Jiang, Hang, et al.
Published: (2023)
Personality as Relational Infrastructure: User Perceptions of Personality-Trait-Infused LLM Messaging
by: Hofer, Dominik P., et al.
Published: (2026)
by: Hofer, Dominik P., et al.
Published: (2026)
Cognition Chain for Explainable Psychological Stress Detection on Social Media
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
RNR: Teaching Large Language Models to Follow Roles and Rules
by: Wang, Kuan, et al.
Published: (2024)
by: Wang, Kuan, et al.
Published: (2024)
How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
by: Xu, Ziwen, et al.
Published: (2026)
by: Xu, Ziwen, et al.
Published: (2026)
The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs
by: Baidya, Avinash, et al.
Published: (2025)
by: Baidya, Avinash, et al.
Published: (2025)
From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation
by: Barman, Amit, et al.
Published: (2025)
by: Barman, Amit, et al.
Published: (2025)
MindGuard: Towards Accessible and Sitgma-free Mental Health First Aid via Edge LLM
by: Ji, Sijie, et al.
Published: (2024)
by: Ji, Sijie, et al.
Published: (2024)
Conversational Planning for Personal Plans
by: Christakopoulou, Konstantina, et al.
Published: (2025)
by: Christakopoulou, Konstantina, et al.
Published: (2025)
Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models
by: Soni, Nikita, et al.
Published: (2026)
by: Soni, Nikita, et al.
Published: (2026)
Reinforcement Learning for Personalized Dialogue Management
by: Hengst, Floris den, et al.
Published: (2019)
by: Hengst, Floris den, et al.
Published: (2019)
Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring
by: Abu-Rasheed, Hasan, et al.
Published: (2024)
by: Abu-Rasheed, Hasan, et al.
Published: (2024)
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
by: Kahng, Minsuk, et al.
Published: (2024)
by: Kahng, Minsuk, et al.
Published: (2024)
LLM Attributor: Interactive Visual Attribution for LLM Generation
by: Lee, Seongmin, et al.
Published: (2024)
by: Lee, Seongmin, et al.
Published: (2024)
Integrating Personality into Digital Humans: A Review of LLM-Driven Approaches for Virtual Reality
by: Brito, Iago Alves, et al.
Published: (2025)
by: Brito, Iago Alves, et al.
Published: (2025)
Exploring Big Five Personality and AI Capability Effects in LLM-Simulated Negotiation Dialogues
by: Cohen, Myke C., et al.
Published: (2025)
by: Cohen, Myke C., et al.
Published: (2025)
Persona-E$^2$: A Human-Grounded Dataset for Personality-Shaped Emotional Responses to Textual Events
by: Yang, Yuqin, et al.
Published: (2026)
by: Yang, Yuqin, et al.
Published: (2026)
FingerTip 20K: A Benchmark for Proactive and Personalized Mobile LLM Agents
by: Yang, Qinglong, et al.
Published: (2025)
by: Yang, Qinglong, et al.
Published: (2025)
FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users
by: Singh, Anikait, et al.
Published: (2025)
by: Singh, Anikait, et al.
Published: (2025)
From Data to Commonsense Reasoning: The Use of Large Language Models for Explainable AI
by: Krause, Stefanie, et al.
Published: (2024)
by: Krause, Stefanie, et al.
Published: (2024)
Implicit Personalization in Language Models: A Systematic Study
by: Jin, Zhijing, et al.
Published: (2024)
by: Jin, Zhijing, et al.
Published: (2024)
Panza: Design and Analysis of a Fully-Local Personalized Text Writing Assistant
by: Nicolicioiu, Armand, et al.
Published: (2024)
by: Nicolicioiu, Armand, et al.
Published: (2024)
ReLearn: Unlearning via Learning for Large Language Models
by: Xu, Haoming, et al.
Published: (2025)
by: Xu, Haoming, et al.
Published: (2025)
SCOPE: A Lightweight-training LLM Framework for Air Traffic Control Readback Monitoring
by: Deng, Qihan, et al.
Published: (2026)
by: Deng, Qihan, et al.
Published: (2026)
Benchmarking LLM Tool-Use in the Wild
by: Yu, Peijie, et al.
Published: (2026)
by: Yu, Peijie, et al.
Published: (2026)
"Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations
by: Wu, Yang, et al.
Published: (2026)
by: Wu, Yang, et al.
Published: (2026)
Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Tasks
by: Rahman, Hasibur, et al.
Published: (2025)
by: Rahman, Hasibur, et al.
Published: (2025)
Explore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task Automation
by: Lee, Sunjae, et al.
Published: (2023)
by: Lee, Sunjae, et al.
Published: (2023)
Agent Laboratory: Using LLM Agents as Research Assistants
by: Schmidgall, Samuel, et al.
Published: (2025)
by: Schmidgall, Samuel, et al.
Published: (2025)
DiscoverLLM: From Executing Intents to Discovering Them
by: Kim, Tae Soo, et al.
Published: (2026)
by: Kim, Tae Soo, et al.
Published: (2026)
Understand User Opinions of Large Language Models via LLM-Powered In-the-Moment User Experience Interviews
by: Liu, Mengqiao, et al.
Published: (2025)
by: Liu, Mengqiao, et al.
Published: (2025)
Enabling On-Device LLMs Personalization with Smartphone Sensing
by: Zhang, Shiquan, et al.
Published: (2024)
by: Zhang, Shiquan, et al.
Published: (2024)
Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors
by: Lam, Michelle S., et al.
Published: (2024)
by: Lam, Michelle S., et al.
Published: (2024)
Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review
by: Ye, Rui, et al.
Published: (2024)
by: Ye, Rui, et al.
Published: (2024)
Benchmarking Gender and Political Bias in Large Language Models
by: Yang, Jinrui, et al.
Published: (2025)
by: Yang, Jinrui, et al.
Published: (2025)
Multimodal Behavioral Patterns Analysis with Eye-Tracking and LLM-Based Reasoning
by: Guo, Dongyang, et al.
Published: (2025)
by: Guo, Dongyang, et al.
Published: (2025)
Estimating LLM Consistency: A User Baseline vs Surrogate Metrics
by: Wu, Xiaoyuan, et al.
Published: (2025)
by: Wu, Xiaoyuan, et al.
Published: (2025)
Similar Items
-
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
by: Qiao, Shuofei, et al.
Published: (2024) -
Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency
by: Xu, Haoming, et al.
Published: (2026) -
Teaching According to Students' Aptitude: Personalized Mathematics Tutoring via Persona-, Memory-, and Forgetting-Aware LLMs
by: Wu, Yang, et al.
Published: (2025) -
PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
by: Jiang, Hang, et al.
Published: (2023) -
Personality as Relational Infrastructure: User Perceptions of Personality-Trait-Infused LLM Messaging
by: Hofer, Dominik P., et al.
Published: (2026)