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Found 4 papers, 2 papers with code
MMAC-Copilot: Multi-modal Agent Collaboration Operating System Copilot
Autonomous virtual agents are often limited by their singular mode of interaction with real-world environments, restricting their versatility.
Efficient Reinforcement Learning via Decoupling Exploration and Utilization
To address this, we have introduced an additional optimistic Actor to enhance the model's exploration ability, while employing a more constrained pessimistic Actor for performance evaluation.
BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models
Large Multimodal Models (LMMs) such as GPT-4V and LLaVA have shown remarkable capabilities in visual reasoning with common image styles.
Ranked #1000000000 on
Visual Question Answering
on MS COCO
Measuring Changes in Disparity Gaps: An Application to Health Insurance
We propose a method for reporting how program evaluations reduce gaps between groups, such as the gender or Black-white gap.
