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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 • 30 -
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:2312.17653
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 143 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 20 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 64
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aMUSEd: An Open MUSE Reproduction
Paper • 2401.01808 • Published • 28 -
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
Paper • 2401.01885 • Published • 27 -
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
Paper • 2401.00604 • Published • 4 -
LARP: Language-Agent Role Play for Open-World Games
Paper • 2312.17653 • Published • 30
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LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Paper • 2312.11514 • Published • 258 -
3D-LFM: Lifting Foundation Model
Paper • 2312.11894 • Published • 13 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 56 -
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
Paper • 2312.16862 • Published • 30