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See and Think: Embodied Agent in Virtual Environment
Paper • 2311.15209 • Published • 2 -
LARP: Language-Agent Role Play for Open-World Games
Paper • 2312.17653 • Published • 31 -
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models
Paper • 2311.05997 • Published • 36 -
LLaMA Rider: Spurring Large Language Models to Explore the Open World
Paper • 2310.08922 • Published • 2
Collections
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Collections including paper arxiv:2309.09971
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Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts
Paper • 2309.07430 • Published • 27 -
MindAgent: Emergent Gaming Interaction
Paper • 2309.09971 • Published • 11 -
Cure the headache of Transformers via Collinear Constrained Attention
Paper • 2309.08646 • Published • 12 -
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 37
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Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53 -
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
Paper • 2309.06497 • Published • 4 -
MindAgent: Emergent Gaming Interaction
Paper • 2309.09971 • Published • 11 -
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Paper • 2309.09400 • Published • 84