Buchumschlag

ValueDCG: Measuring Comprehensive Human Value Understanding Ability of Language Models

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Zhang, Zhaowei, Bai, Fengshuo, Gao, Jun, Yang, Yaodong
Format:	Preprint
Veröffentlicht:	2023
Schlagworte:	Computation and Language Artificial Intelligence Computers and Society I.2.m; K.4.m
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Roadmap on Incentive Compatibility for AI Alignment and Governance in Sociotechnical Systems
von: Zhang, Zhaowei, et al.
Veröffentlicht: (2024)

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability
von: Rohde, Wolfgang
Veröffentlicht: (2026)

Growing a Tail: Increasing Output Diversity in Large Language Models
von: Shur-Ofry, Michal, et al.
Veröffentlicht: (2024)

Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning and Law
von: Zehlike, Meike, et al.
Veröffentlicht: (2022)

AI Ethics Principles in Practice: Perspectives of Designers and Developers
von: Sanderson, Conrad, et al.
Veröffentlicht: (2021)

Values That Are Explicitly Present in Fairy Tales: Comparing Samples from German, Italian and Portuguese Traditions
von: Diaz-Faes, Alba Morollon, et al.
Veröffentlicht: (2024)

Post-Digital Humanities: Computation and Cultural Critique in the Arts and Humanities
von: Berry, David M.
Veröffentlicht: (2024)

Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies
von: Freiberger, Vincent, et al.
Veröffentlicht: (2024)

The Voice: Lessons on Trustworthy Conversational Agents from "Dune"
von: Feldman, Philip
Veröffentlicht: (2024)

Towards a Manifesto for Cyber Humanities: Paradigms, Ethics, and Prospects
von: Adorni, Giovanni, et al.
Veröffentlicht: (2025)

Attention Asymmetry in AI Layoff Discourse on X: A Computational Analysis of Capital vs Labour Amplification
von: Bose, Joy
Veröffentlicht: (2026)

A global AI community requires language-diverse publishing
von: Lepp, Haley, et al.
Veröffentlicht: (2024)

The Cultivated Practices of Text-to-Image Generation
von: Oppenlaender, Jonas
Veröffentlicht: (2023)

"What Is It That You Don't Understand?" Language Games and Black Box Algorithms
von: Demichelis, Remy
Veröffentlicht: (2026)

Resolving Ethics Trade-offs in Implementing Responsible AI
von: Sanderson, Conrad, et al.
Veröffentlicht: (2024)

Few-Shot Learning for Mental Disorder Detection: A Continuous Multi-Prompt Engineering Approach with Medical Knowledge Injection
von: Liu, Haoxin, et al.
Veröffentlicht: (2024)

Quantifying Misalignment Between Agents: Towards a Sociotechnical Understanding of Alignment
von: Kierans, Aidan, et al.
Veröffentlicht: (2024)

Dialogic Pedagogy for Large Language Models: Aligning Conversational AI with Proven Theories of Learning
von: Beale, Russell
Veröffentlicht: (2025)

PPLqa: An Unsupervised Information-Theoretic Quality Metric for Comparing Generative Large Language Models
von: Friedland, Gerald, et al.
Veröffentlicht: (2024)

Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data
von: Oprea, Camelia, et al.
Veröffentlicht: (2024)

PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
von: Zhang, Zhaowei, et al.
Veröffentlicht: (2025)

What are AI researchers worried about?
von: O'Donovan, Cian, et al.
Veröffentlicht: (2026)

Quo Vadis, HCOMP? A Review of 12 Years of Research at the Frontier of Human Computation and Crowdsourcing
von: Oppenlaender, Jonas, et al.
Veröffentlicht: (2025)

PuppetChat: Fostering Intimate Communication through Bidirectional Actions and Micronarratives
von: Wang, Emma Jiren, et al.
Veröffentlicht: (2026)

"It Felt Like Having a Second Mind": Investigating Human-AI Co-creativity in Prewriting with Large Language Models
von: Wan, Qian, et al.
Veröffentlicht: (2023)

Will Humanity Be Rendered Obsolete by AI?
von: Louadi, Mohamed El, et al.
Veröffentlicht: (2025)

A Panopticon on My Wrist: The Biopower of Big Data Visualization for Wearables
von: Hepworth, KJ
Veröffentlicht: (2024)

On the Opportunities of Large Language Models for Programming Process Data
von: Edwards, John, et al.
Veröffentlicht: (2024)

Reliability and Admissibility of AI-Generated Forensic Evidence in Criminal Trials
von: Singh, Sahibpreet, et al.
Veröffentlicht: (2025)

Knowledge Distillation for Large Language Models
von: La Torre, Alejandro Paredes, et al.
Veröffentlicht: (2026)

Defining and Quantifying Creative Behavior in Popular Image Generators
von: Ramaswamy, Aditi, et al.
Veröffentlicht: (2025)

Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight
von: Kaur, Kirandeep, et al.
Veröffentlicht: (2026)

Recommending the right academic programs: An interest mining approach using BERTopic
von: Hill, Alessandro, et al.
Veröffentlicht: (2025)

Perceived Fairness of the Machine Learning Development Process: Concept Scale Development
von: Mishra, Anoop, et al.
Veröffentlicht: (2025)

Probeable Problems for Beginner-level Programming-with-AI Contests
von: Pawagi, Mrigank, et al.
Veröffentlicht: (2024)

Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models
von: Hanson, Mathias, et al.
Veröffentlicht: (2025)

Cognitive networks reconstruct mindsets about STEM subjects and educational contexts in almost 1000 high-schoolers, University students and LLM-based digital twins
von: Gariboldi, Francesco, et al.
Veröffentlicht: (2026)

Exploring the Applications of Generative AI in High School STEM Education
von: Masilamony, Ishaan
Veröffentlicht: (2025)

When to Call an Apple Red: Humans Follow Introspective Rules, VLMs Don't
von: Nemitz, Jonathan, et al.
Veröffentlicht: (2026)

Deepfake Technology Unveiled: The Commoditization of AI and Its Impact on Digital Trust
von: Popa, Claudiu, et al.
Veröffentlicht: (2025)