Collections
Discover the best community collections!
Collections trending this week
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MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 54 -
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Paper • 2404.16821 • Published • 59 -
Physically Grounded Vision-Language Models for Robotic Manipulation
Paper • 2309.02561 • Published • 9 -
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark
Paper • 2409.02813 • Published • 34
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Improving Factuality and Reasoning in Language Models through Multiagent Debate
Paper • 2305.14325 • Published • 2 -
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
Paper • 2308.10848 • Published • 2 -
MALT: Improving Reasoning with Multi-Agent LLM Training
Paper • 2412.01928 • Published • 46
-
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 54 -
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Paper • 2404.16821 • Published • 59 -
Physically Grounded Vision-Language Models for Robotic Manipulation
Paper • 2309.02561 • Published • 9 -
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark
Paper • 2409.02813 • Published • 34
-
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Paper • 2305.14325 • Published • 2 -
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
Paper • 2308.10848 • Published • 2 -
MALT: Improving Reasoning with Multi-Agent LLM Training
Paper • 2412.01928 • Published • 46