#LLM
11 notes
- Real-World Robot Applications of Foundation Models: A Review
- Language Modeling from Scratch
- Scaling Law
- In-Context Learning
- ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constrains for Robotic Manipulation
- From LLMs to Actions: Latent Codes as Bridges in Hierarchical Robot Control
- AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
- SAGE: Briding Semantic and Actionable Parts for GEneralizable Articulated-Object Manipulation under Language Instructions
- Self-Consistency Improves Chain of Thought Reasoning in Language Models
- Tree of Thoughts: Deliberate Problem Solving with Large Language Models
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models