Copertina

Probing the Preferences of a Language Model: Integrating Verbal and Behavioral Tests of AI Welfare

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tagliabue, Valen, Dung, Leonard
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AI Alignment Strategies from a Risk Perspective: Independent Safety Mechanisms or Shared Failures?
di: Dung, Leonard, et al.
Pubblicazione: (2025)

Instrumental Choices: Measuring the Propensity of LLM Agents to Pursue Instrumental Behaviors
di: Wiedermann-Möller, Jonas, et al.
Pubblicazione: (2026)

Safe, Untrusted, "Proof-Carrying" AI Agents: toward the agentic lakehouse
di: Tagliabue, Jacopo, et al.
Pubblicazione: (2025)

Probing Persona-Dependent Preferences in Language Models
di: Gilg, Oscar, et al.
Pubblicazione: (2026)

Querying Everything Everywhere All at Once: Supervaluationism for the Agentic Lakehouse
di: Tagliabue, Jacopo
Pubblicazione: (2026)

AI for Distributed Systems Design: Scalable Cloud Optimization Through Repeated LLMs Sampling And Simulators
di: Tagliabue, Jacopo
Pubblicazione: (2025)

Trustworthy AI in the Agentic Lakehouse: from Concurrency to Governance
di: Tagliabue, Jacopo, et al.
Pubblicazione: (2025)

Against racing to AGI: Cooperation, deterrence, and catastrophic risks
di: Dung, Leonard, et al.
Pubblicazione: (2025)

Misalignment or misuse? The AGI alignment tradeoff
di: Hellrigel-Holderbaum, Max, et al.
Pubblicazione: (2025)

Calibrating Verbalized Probabilities for Large Language Models
di: Wang, Cheng, et al.
Pubblicazione: (2024)

Aligning Large Language Model Behavior with Human Citation Preferences
di: Ando, Kenichiro, et al.
Pubblicazione: (2026)

How does Misinformation Affect Large Language Model Behaviors and Preferences?
di: Peng, Miao, et al.
Pubblicazione: (2025)

Subjective Behaviors and Preferences in LLM: Language of Browsing
di: Sundaresan, Sai, et al.
Pubblicazione: (2025)

Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing
di: Ulmer, Dennis, et al.
Pubblicazione: (2025)

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations
di: Zhu, Jian-Qiao, et al.
Pubblicazione: (2025)

Initial Risk Probing and Feasibility Testing of Glow: a Generative AI-Powered Dialectical Behavior Therapy Skills Coach for Substance Use Recovery and HIV Prevention
di: Wang, Liying, et al.
Pubblicazione: (2026)

"Moralized" Multi-Step Jailbreak Prompts: Black-Box Testing of Guardrails in Large Language Models for Verbal Attacks
di: Wang, Libo
Pubblicazione: (2024)

Dynamic Welfare-Maximizing Pooled Testing
di: Lopez, Nicholas, et al.
Pubblicazione: (2026)

ConfTuner: Training Large Language Models to Express Their Confidence Verbally
di: Li, Yibo, et al.
Pubblicazione: (2025)

Episodic Memory Verbalization using Hierarchical Representations of Life-Long Robot Experience
di: Bärmann, Leonard, et al.
Pubblicazione: (2024)

Probing a Vision-Language-Action Model for Symbolic States and Integration into a Cognitive Architecture
di: Lu, Hong, et al.
Pubblicazione: (2025)

Taking AI Welfare Seriously
di: Long, Robert, et al.
Pubblicazione: (2024)

Are we Doomed to an AI Race? Why Self-Interest Could Drive Countries Towards a Moratorium on Superintelligence
di: Roussel, Edward, et al.
Pubblicazione: (2026)

Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition
di: Schulhoff, Sander, et al.
Pubblicazione: (2023)

Incremental Learning of Humanoid Robot Behavior from Natural Interaction and Large Language Models
di: Bärmann, Leonard, et al.
Pubblicazione: (2023)

Unified Preference Optimization: Language Model Alignment Beyond the Preference Frontier
di: Badrinath, Anirudhan, et al.
Pubblicazione: (2024)

Process Supervision via Verbal Critique Improves Reasoning in Large Language Models
di: Chen, Hao-Yuan
Pubblicazione: (2026)

Agential AI for Integrated Continual Learning, Deliberative Behavior, and Comprehensible Models
di: Erden, Zeki Doruk, et al.
Pubblicazione: (2025)

LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models
di: Shen, Tiesunlong, et al.
Pubblicazione: (2026)

ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
di: Ni, Jingwei, et al.
Pubblicazione: (2025)

Efficiently Generating Expressive Quadruped Behaviors via Language-Guided Preference Learning
di: Clark, Jaden, et al.
Pubblicazione: (2025)

A Tool for Generating Exceptional Behavior Tests With Large Language Models
di: Zhong, Linghan, et al.
Pubblicazione: (2025)

exLong: Generating Exceptional Behavior Tests with Large Language Models
di: Zhang, Jiyang, et al.
Pubblicazione: (2024)

Verbalized Confidence Triggers Self-Verification: Emergent Behavior Without Explicit Reasoning Supervision
di: Jang, Chaeyun, et al.
Pubblicazione: (2025)

ReasoningWeekly: A General Knowledge and Verbal Reasoning Challenge for Large Language Models
di: Wu, Zixuan, et al.
Pubblicazione: (2025)

Boosting Self-Efficacy and Performance of Large Language Models via Verbal Efficacy Stimulations
di: Chen, Rui, et al.
Pubblicazione: (2025)

On Diversified Preferences of Large Language Model Alignment
di: Zeng, Dun, et al.
Pubblicazione: (2023)

Measuring Political Preferences in AI Systems: An Integrative Approach
di: Rozado, David
Pubblicazione: (2025)

Integrating Disambiguation and User Preferences into Large Language Models for Robot Motion Planning
di: Abugurain, Mohammed, et al.
Pubblicazione: (2024)

Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models
di: Kour, George, et al.
Pubblicazione: (2025)