Re²MoGen generates open-vocabulary motions via MCTS-enhanced LLM keyframe planning, pose-prior optimization with dynamic temporal matching fine-tuning, and physics-aware RL post-training, claiming SOTA performance.
Do as i can, not as i say: Grounding language in robotic affordances
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CoPoLLM uses a cognitive policy reinforcement learning engine and dual-stream optimization to improve LLM diagnosis and intervention of cognitive distortions in emotional support conversations.
citing papers explorer
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Re$^2$MoGen: Open-Vocabulary Motion Generation via LLM Reasoning and Physics-Aware Refinement
Re²MoGen generates open-vocabulary motions via MCTS-enhanced LLM keyframe planning, pose-prior optimization with dynamic temporal matching fine-tuning, and physics-aware RL post-training, claiming SOTA performance.
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Intent-aligned Autonomous Spacecraft Guidance via Reasoning Models
CoPoLLM uses a cognitive policy reinforcement learning engine and dual-stream optimization to improve LLM diagnosis and intervention of cognitive distortions in emotional support conversations.