configint/SmolVLM2-256M-Video-Instruct-ActionTokens-Dim Image-Text-to-Text • 0.3B • Updated Jul 29 • 10
configint/SmolVLM2-256M-Video-Instruct-ActionTokens-Dim Image-Text-to-Text • 0.3B • Updated Jul 29 • 10
configint/SmolVLM2-256M-Video-Instruct-ActionTokens Image-Text-to-Text • 0.3B • Updated Jul 26 • 9
configint/SmolVLM2-256M-Video-Instruct-ActionTokens Image-Text-to-Text • 0.3B • Updated Jul 26 • 9
configint/SmolVLM2-500M-Video-Instruct-ActionTokens Image-Text-to-Text • 0.5B • Updated Jul 10 • 11 • 1
configint/SmolVLM2-500M-Video-Instruct-Action Image-Text-to-Text • 0.5B • Updated Jul 10 • 10 • 1
configint/SmolVLM2-500M-Video-Instruct-ActionTokens Image-Text-to-Text • 0.5B • Updated Jul 10 • 11 • 1
configint/SmolVLM2-500M-Video-Instruct-Action Image-Text-to-Text • 0.5B • Updated Jul 10 • 10 • 1
OpenX-LeRobot Collection Open X-Embodiment datasets in LeRobot format with standard transfomation (https://github.com/Tavish9/any4lerobot) • 34 items • Updated 11 days ago • 18
Cognitive Map for Language Models: Optimal Planning via Verbally Representing the World Model Paper • 2406.15275 • Published Jun 21, 2024 • 12
Cognitive Map for Language Models: Optimal Planning via Verbally Representing the World Model Paper • 2406.15275 • Published Jun 21, 2024 • 12
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners Paper • 2210.02969 • Published Oct 6, 2022
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning Paper • 2305.14045 • Published May 23, 2023 • 5
Exploring the Benefits of Training Expert Language Models over Instruction Tuning Paper • 2302.03202 • Published Feb 7, 2023 • 1
Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards Paper • 2404.10346 • Published Apr 16, 2024 • 1