Zihao Wang PRO

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upvoted 2 papers 9 days ago

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Paper • 2302.01560 • Published Feb 3, 2023 • 1

GROOT: Learning to Follow Instructions by Watching Gameplay Videos

Paper • 2310.08235 • Published Oct 12, 2023 • 1

upvoted a paper about 2 months ago

ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting

Paper • 2410.17856 • Published Oct 23 • 49

upvoted a paper 6 months ago

OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents

Paper • 2407.00114 • Published Jun 27 • 12

upvoted 2 papers 10 months ago

MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft

Paper • 2310.08367 • Published Oct 12, 2023 • 1

Selecting Large Language Model to Fine-tune via Rectified Scaling Law

Paper • 2402.02314 • Published Feb 4 • 2

upvoted a paper about 1 year ago

JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Paper • 2311.05997 • Published Nov 10, 2023 • 36