Imagen de Portada

How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xu, Ziwen, Xu, Kewei, Xu, Haoming, Hong, Haiwen, Huang, Longtao, Xue, Hui, Zhang, Ningyu, Shen, Yongliang, Zheng, Guozhou, Chen, Huajun, Deng, Shumin
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language Artificial Intelligence Human-Computer Interaction Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models
por: Xu, Ziwen, et al.
Publicado: (2025)

Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency
por: Xu, Haoming, et al.
Publicado: (2026)

EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
por: Ou, Yixin, et al.
Publicado: (2024)

ReLearn: Unlearning via Learning for Large Language Models
por: Xu, Haoming, et al.
Publicado: (2025)

Detoxifying Large Language Models via Knowledge Editing
por: Wang, Mengru, et al.
Publicado: (2024)

How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
por: Ou, Yixin, et al.
Publicado: (2025)

Knowledge Mechanisms in Large Language Models: A Survey and Perspective
por: Wang, Mengru, et al.
Publicado: (2024)

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
por: Feng, Kehua, et al.
Publicado: (2024)

KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
por: Zhu, Yuqi, et al.
Publicado: (2024)

Human Trust in AI Search: A Large-Scale Experiment
por: Li, Haiwen, et al.
Publicado: (2025)

Facilitating Individuals' Sensemaking about Sedentary Behavior via Contextualized Data
por: Xu, Kefan, et al.
Publicado: (2025)

Designing Persuasive Social Robots for Health Behavior Change: A Systematic Review of Behavior Change Strategies and Evaluation Methods
por: Xu, Jiaxin, et al.
Publicado: (2026)

MindCopilot: Towards Formalizing and Evaluating Granular Human-LLM Co-Writing
por: Fang, Youqing, et al.
Publicado: (2026)

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
por: Xu, Ziwen, et al.
Publicado: (2026)

Not All Uncertainty Is Equal: How Uncertainty Granularity Shapes Human Verification in LLM-Assisted Decision Making
por: Villavicencio, Mauricio, et al.
Publicado: (2026)

Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
por: Xu, Ziwen, et al.
Publicado: (2026)

The Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models
por: Shi, Yike, et al.
Publicado: (2025)

Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use
por: Lu, Xinyi, et al.
Publicado: (2025)

How Do Developers Interact with AI? An Exploratory Study on Modeling Developer Programming Behavior
por: Wu, Yinan, et al.
Publicado: (2026)

Adapting to LLMs: How Insiders and Outsiders Reshape Scientific Knowledge Production
por: Xu, Huimin, et al.
Publicado: (2025)

Disclose with Care: Designing Privacy Controls in Interview Chatbots
por: Li, Ziwen, et al.
Publicado: (2026)

Reality Check: How Avatar and Face Representation Affect the Perceptual Evaluation of Synthesized Gestures
por: Du, Haoyang, et al.
Publicado: (2026)

UMind: A Unified Multitask Network for Zero-Shot M/EEG Visual Decoding
por: Xu, Chengjian, et al.
Publicado: (2025)

Relying on LLMs: Student Practices and Instructor Norms are Changing in Computer Science Education
por: Lin, Xinrui, et al.
Publicado: (2026)

Cross-Domain Transfer Learning Method for Thermal Adaptive Behavior Recognition with WiFi
por: Lv, Zhaohe, et al.
Publicado: (2024)

Senti-iFusion: An Integrity-centered Hierarchical Fusion Framework for Multimodal Sentiment Analysis under Uncertain Modality Missingness
por: Li, Liling, et al.
Publicado: (2025)

Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency
por: Shen, Jiangrong, et al.
Publicado: (2025)

Human-Centered Artificial Social Intelligence (HC-ASI)
por: Pan, Hanxi, et al.
Publicado: (2025)

Seeing Twice: How Side-by-Side T2I Comparison Changes Auditing Strategies
por: Maldaner, Matheus Kunzler, et al.
Publicado: (2025)

Navigating Uncertainties: How GenAI Developers Document Their Models on Open-Source Platforms
por: Tang, Ningjing, et al.
Publicado: (2025)

Intelligence Preschool Education System based on Multimodal Interaction Systems and AI
por: Xu, Long
Publicado: (2024)

CASCADE: A Cascading Architecture for Social Coordination with Controllable Emergence at Low Cost
por: Xu, Yizhi
Publicado: (2026)

Facilitating Visual Media Exploration for Blind and Low Vision Users through AI-Powered Interactive Storytelling
por: Xu, Shuchang
Publicado: (2025)

A User Experience 3.0 (UX 3.0) Paradigm Framework: Designing for Human-Centered AI Experiences
por: Xu, Wei
Publicado: (2025)

A "User Experience 3.0 (UX 3.0)" Paradigm Framework: User Experience Design for Human-Centered AI Systems
por: Xu, Wei
Publicado: (2024)

Human-Centered Artificial Intelligence (HCAI): Foundations and Approaches
por: Xu, Wei
Publicado: (2026)

A Comprehensive Study of Knowledge Editing for Large Language Models
por: Zhang, Ningyu, et al.
Publicado: (2024)

React to This! How Humans Challenge Interactive Agents using Nonverbal Behaviors
por: Zhang, Chuxuan, et al.
Publicado: (2024)

Promises and challenges of generative artificial intelligence for human learning
por: Yan, Lixiang, et al.
Publicado: (2024)

Leveraging Large Language Models for Generating Mobile Sensing Strategies in Human Behavior Modeling
por: Gao, Nan, et al.
Publicado: (2023)