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Many-Shot In-Context Learning in Multimodal Foundation Models
Paper • 2405.09798 • Published • 32 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 33 -
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback
Paper • 2406.00888 • Published • 33 -
To Believe or Not to Believe Your LLM
Paper • 2406.02543 • Published • 35
Nguyen Vo
NguyenVoGoogle
AI & ML interests
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Organizations
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Multi - Agent
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Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
Paper • 2306.03314 • Published • 2 -
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 42 -
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Paper • 2307.16789 • Published • 101 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 44
General LLM
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Many-Shot In-Context Learning in Multimodal Foundation Models
Paper • 2405.09798 • Published • 32 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 33 -
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback
Paper • 2406.00888 • Published • 33 -
To Believe or Not to Believe Your LLM
Paper • 2406.02543 • Published • 35
Multi - Agent
-
Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
Paper • 2306.03314 • Published • 2 -
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 42 -
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Paper • 2307.16789 • Published • 101 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 44
models
0
None public yet
datasets
0
None public yet