CompanionSim: Synthetic Data for Evaluating Anthropomorphism in Human-AI Relationships
cs.CY, cs.AI, cs.CL, cs.LG
Submitted: 2026-08-31
Updated: 2026-08-31
Code: https://github.com/jacyanthis/CompanionSim
Terminology
Sources
- How Tech Workers Contend with Hazards of Humanlikeness in Generative AI
- WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
- How AI Companionship Develops: Evidence from a Longitudinal Study
- Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models
- Robots, Chatbots, Self-Driving Cars: Perceptions of Mind and Morality Across Artificial Intelligences
- Sycophancy in Large Language Models: Causes and Mitigations
- Digital Companionship: Overlapping Uses of AI Companions and AI Assistants
- The Dynamics of Delusion: Modeling Bidirectional False Belief Amplification in Human-Chatbot Dialogue
- Characterizing Delusional Spirals through Human-LLM Chat Logs
- LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
- The Case for "Thick Evaluations" of Cultural Representation in AI
- A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
- Taxonomy of User Needs and Actions
- Sociotechnical Safety Evaluation of Generative AI Systems
- Can Large Language Model Agents Simulate Human Trust Behavior?
- WildChat: 1M ChatGPT Interaction Logs in the Wild
- LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
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