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cs.AI2026
GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning
Chen Li, Sijie Cheng, Yuelin Zhang +4
Embodied agents using LLM-based planners often struggle with physical hallucinations, poor generalization to long-horizon tasks, and lack of environmental awareness. We propose Gra…
cs.CV2026
Recurrent Reasoning with Vision-Language Models for Estimating Long-Horizon Embodied Task Progress
Yuelin Zhang, Sijie Cheng, Chen Li +4
Accurately estimating task progress is critical for embodied agents to plan and execute long-horizon, multi-step tasks. Despite promising advances, existing Vision-Language Models…