Image de couverture de livre

Theory Trace Card: Theory-Driven Socio-Cognitive Evaluation of LLMs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Karimi-Malekabadi, Farzan, Abdurahman, Suhaib, Sourati, Zhivar, Trager, Jackson, Dehghani, Morteza
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence Computers and Society
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Realistic threat perception drives intergroup conflict: A causal, dynamic analysis using generative-agent simulations
par: Abdurahman, Suhaib, et autres
Publié: (2025)

Tracing Moral Foundations in Large Language Models
par: Yu, Chenxiao, et autres
Publié: (2026)

Reasoning on a Spectrum: Aligning LLMs to System 1 and System 2 Thinking
par: Ziabari, Alireza S., et autres
Publié: (2025)

The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models
par: Sourati, Zhivar, et autres
Publié: (2025)

The Homogenizing Effect of Large Language Models on Human Expression and Thought
par: Sourati, Zhivar, et autres
Publié: (2025)

Scaling Item-to-Standard Alignment with Large Language Models: Accuracy, Limits, and Solutions
par: Karimi-Malekabadi, Farzan, et autres
Publié: (2025)

The Limits of Goal-Setting Theory in LLM-Driven Assessment
par: Kumar, Mrityunjay
Publié: (2025)

EvalCards: A Framework for Standardized Evaluation Reporting
par: Dhar, Ruchira, et autres
Publié: (2025)

Structural Abstraction as an Inductive Bias for Non-Stationary Language Model Training
par: Rahmati, Elnaz, et autres
Publié: (2026)

Are LLMs (Really) Ideological? An IRT-based Analysis and Alignment Tool for Perceived Socio-Economic Bias in LLMs
par: Wachter, Jasmin, et autres
Publié: (2025)

Red Teaming LLMs as Socio-Technical Practice: From Exploration and Data Creation to Evaluation
par: Garcia, Adriana Alvarado, et autres
Publié: (2026)

AI and Social Theory
par: Mokander, Jakob, et autres
Publié: (2024)

Evaluation Cards for XAI Metrics
par: Gipiškis, Rokas, et autres
Publié: (2026)

Analyzing User Characteristics of Hate Speech Spreaders on Social Media
par: Geissler, Dominique, et autres
Publié: (2023)

From Vision to Validation: A Theory- and Data-Driven Construction of a GCC-Specific AI Adoption Index
par: Albous, Mohammad Rashed, et autres
Publié: (2025)

Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing
par: Cui, Jiajun, et autres
Publié: (2024)

Industrial AI Robustness Card for Time Series Models
par: Windmann, Alexander, et autres
Publié: (2025)

Mapping Social Choice Theory to RLHF
par: Dai, Jessica, et autres
Publié: (2024)

Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa?
par: Sun, Ron
Publié: (2024)

Position: AI Evaluations Should be Grounded on a Theory of Capability
par: Jo, Nathanael, et autres
Publié: (2025)

Towards Sustainability Model Cards
par: Jouneaux, Gwendal, et autres
Publié: (2025)

Position: Ensuring mutual privacy is necessary for effective external evaluation of proprietary AI systems
par: Bucknall, Ben, et autres
Publié: (2025)

Assessing Cognitive Biases in LLMs for Judicial Decision Support: Virtuous Victim and Halo Effects
par: Liu, Sierra S.
Publié: (2026)

Dialogue with the Machine and Dialogue with the Art World: Evaluating Generative AI for Culturally-Situated Creativity
par: Qadri, Rida, et autres
Publié: (2024)

Survey on AI Ethics: A Socio-technical Perspective
par: Mbiazi, Dave, et autres
Publié: (2023)

The Moral Foundations Reddit Corpus
par: Trager, Jackson, et autres
Publié: (2022)

From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs
par: Chen, Ruxiao, et autres
Publié: (2025)

AI Literacy for All: Adjustable Interdisciplinary Socio-technical Curriculum
par: Tadimalla, Sri Yash, et autres
Publié: (2024)

Homoglyph-based Adversarial Perturbation of Introductory Computer Science Theory Problems
par: Alexander, Aidan, et autres
Publié: (2026)

Reconciling Different Theories of Learning with an Agent-based Model of Procedural Learning
par: Rismanchian, Sina, et autres
Publié: (2024)

Using AI Alignment Theory to understand the potential pitfalls of regulatory frameworks
par: Tlaie, Alejandro
Publié: (2024)

Simulating Generative Social Agents via Theory-Informed Workflow Design
par: Yan, Yuwei, et autres
Publié: (2025)

LLM-Driven Personalized Answer Generation and Evaluation
par: Molavi, Mohammadreza, et autres
Publié: (2025)

ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities
par: Dong, Wenhan, et autres
Publié: (2025)

Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory
par: Gurkan, Necdet, et autres
Publié: (2024)

AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act
par: Golpayegani, Delaram, et autres
Publié: (2024)

Navigating Pitfalls: Evaluating LLMs in Machine Learning Programming Education
par: Kumar, Smitha, et autres
Publié: (2025)

Evaluating Code Generation of LLMs in Advanced Computer Science Problems
par: Catir, Emir, et autres
Publié: (2025)

AI Application Operations -- A Socio-Technical Framework for Data-driven Organizations
par: Jönsson, Daniel, et autres
Publié: (2025)

Rules, Cases, and Reasoning: Positivist Legal Theory as a Framework for Pluralistic AI Alignment
par: Caputo, Nicholas A.
Publié: (2024)