Papers

Filtered to personal assistants · clear filter

Browse by term

continual learning 91reinforcement learning 43vision-language models 18benchmarking 12benchmarks 11robotics 11large language models 10language models 9world models 9video generation 6generative models 5multimodal models 5natural language processing 5recursive self-improvement 5video world models 5agents 4dialogue systems 4diffusion models 4foundation models 4multimodal large language models 4on-policy distillation 4reasoning 4self-distillation 4self-supervised learning 4conversational AI 3evaluation benchmarks 3human-computer interaction 3LLMs 3multi-agent systems 3policy optimization 3

Matching papers

ComBodied Agents: a New Paradigm of Human-Centric Agentic AI

180 upvotes · 11 AUG 2026 · Qianggang Ding, Xingyao Wang, Rui Feng et al.

This paper introduces Combodied Agents, a new approach to Agentic AI that focuses on understanding and supporting individual human-state trajectories over time, rather than just completing tasks. Practitioners might care about this because it has the potential to improve human-AI interactions and provide more effective support for people's needs.