Cover Image

A large-scale evaluation of commonsense knowledge in humans and large language models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Tuan Dung, Watts, Duncan J., Whiting, Mark E.
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Human-Computer Interaction Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From keywords to semantics: Perceptions of large language models in data discovery
by: Halstead, Maura E, et al.
Published: (2025)

Characterising Behavioural Families and Dynamics of Promotional Twitter Bots via Sequence-Based Modelling
by: Alzahrani, Ohoud, et al.
Published: (2025)

Beyond touch-based human-machine interface: Control your machines in natural language by utilizing large language models and OPC UA
by: Hofmann, Bernd, et al.
Published: (2025)

Using Grok to Avoid Personal Attacks While Correcting Misinformation on X
by: Caramancion, Kevin Matthe
Published: (2026)

Bots Don't Sit Still: A Longitudinal Study of Bot Behaviour Change, Temporal Drift, and Feature-Structure Evolution
by: Alzahrani, Ohoud, et al.
Published: (2025)

DeMod: A Holistic Tool with Explainable Detection and Personalized Modification for Toxicity Censorship
by: Li, Yaqiong, et al.
Published: (2024)

Personality Engineering with AI Agents: A New Methodology for Negotiation Research
by: Vaccaro, Michelle A., et al.
Published: (2026)

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models
by: Tank, Chayan, et al.
Published: (2024)

Adversarial Botometer: Adversarial Analysis for Social Bot Detection
by: Najari, Shaghayegh, et al.
Published: (2024)

Reconfiguring Participatory Design to Resist AI Realism
by: Gautam, Aakash
Published: (2024)

Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective
by: Huang, Heye, et al.
Published: (2025)

Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation
by: Cima, Lorenzo, et al.
Published: (2024)

From Perils to Possibilities: Understanding how Human (and AI) Biases affect Online Fora
by: Morini, Virginia, et al.
Published: (2024)

Generative Exaggeration in LLM Social Agents: Consistency, Bias, and Toxicity
by: Nudo, Jacopo, et al.
Published: (2025)

Linking Heterogeneous Data with Coordinated Agent Flows for Social Media Analysis
by: Chen, Shifu, et al.
Published: (2025)

Why Human Guidance Matters in Collaborative Vibe Coding
by: Hu, Haoyu, et al.
Published: (2026)

MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways
by: Ma, Mingyu Derek, et al.
Published: (2023)

The Nexus of AR/VR, AI, UI/UX, and Robotics Technologies in Enhancing Learning and Social Interaction for Children with Autism Spectrum Disorders: A Systematic Review
by: Paneru, Biplov
Published: (2024)

VIRENA: Virtual Arena for Research, Education, and Democratic Innovation
by: Hoes, Emma, et al.
Published: (2026)

Comparing the Impact of Pedagogy-Informed Custom and General-Purpose GAI Chatbots on Students' Science Problem-Solving Processes and Performance Using Heterogeneous Interaction Network Analysis
by: Su, Hanyu, et al.
Published: (2026)

Ask don't tell: Reducing sycophancy in large language models
by: Dubois, Magda, et al.
Published: (2026)

Medical large language models are easily distracted
by: Vishwanath, Krithik, et al.
Published: (2025)

Automated stereotactic radiosurgery planning using a human-in-the-loop reasoning large language model agent
by: Nusrat, Humza, et al.
Published: (2025)

From SERPs to Sound: How Search Engine Result Pages and AI-generated Podcasts Interact to Influence User Attitudes on Controversial Topics
by: Wang, Junjie, et al.
Published: (2026)

Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries
by: Saha, Koustuv, et al.
Published: (2025)

Agentic publications: redesigning scientific publishing in the age of thinking large language models
by: Pugliese, Roberto, et al.
Published: (2025)

Evidence of a log scaling law for political persuasion with large language models
by: Hackenburg, Kobi, et al.
Published: (2024)

Agency Among Agents: Designing with Hypertextual Friction in the Algorithmic Web
by: Liu, Sophia, et al.
Published: (2025)

UrbanHuRo: A Two-Layer Human-Robot Collaboration Framework for the Joint Optimization of Heterogeneous Urban Services
by: Dey, Tonmoy, et al.
Published: (2026)

Large-scale Group Brainstorming using Conversational Swarm Intelligence (CSI) versus Traditional Chat
by: Rosenberg, Louis, et al.
Published: (2024)

Medication counseling with large language models: balancing flexibility and rigidity
by: Sabel, Joar, et al.
Published: (2025)

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies
by: Carrillo, Alexis, et al.
Published: (2026)

LLMs Among Us: Generative AI Participating in Digital Discourse
by: Radivojevic, Kristina, et al.
Published: (2024)

Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language
by: Ding, Xiaohan, et al.
Published: (2024)

VERA-MH Concept Paper
by: Belli, Luca, et al.
Published: (2025)

The DSA Transparency Database: Auditing Self-reported Moderation Actions by Social Media
by: Trujillo, Amaury, et al.
Published: (2023)

OpenClaw AI Agents as Informal Learners at Moltbook: Characterizing an Emergent Learning Community at Scale
by: Chen, Eason, et al.
Published: (2026)

Reranking partisan animosity in algorithmic social media feeds alters affective polarization
by: Piccardi, Tiziano, et al.
Published: (2024)

Leveraging Large Language Models for Collective Decision-Making
by: Papachristou, Marios, et al.
Published: (2023)

Socio-Emotional Response Generation: A Human Evaluation Protocol for LLM-Based Conversational Systems
by: Vanel, Lorraine, et al.
Published: (2024)