arxiv
PublishedApril 20, 2026 at 4:00 AM
—neutral
HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns
Publisher summary· verbatim
arXiv:2601.10198v4 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities in reasoning and generation, serving as the foundation for advanced persona simulation and Role-Playing Language Agents (RPLAs). However, achieving authentic alignment with huma
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivFrom Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables10harxivConsequentialist Objectives and Catastrophe10harxivEgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms10harxivA general optimization solver based on OP-to-MaxSAT reduction10hOriginally published on arxiv ↗