2 papers
cs.CL2026
PerSo: Investigating Facets of LLMs' Social Intelligence in Real-World Persuasion Scenarios
Ali Zamani, Soroush Esfahanian, Erfan Shahabi +3
Understanding the social intelligence of large language models (LLMs) is increasingly important for applications involving human-AI interaction and multi-agent environments. Social…
cs.LG2026
Action Chunking Proximal Policy Optimization with Feedback Correction
Sanghyun Hahn, Jonghyun Choi
Action chunking provides temporal abstraction in reinforcement learning by selecting short action sequences instead of individual actions, but many existing approaches face two lim…