@HuggingPapers: Top AI Papers of The Week (May 25-31): - Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players - SkillO…

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ai-papers research-roundup machine-learning multi-agent vision-language alignment

Summary

A curated roundup of top AI papers from May 25-31, covering multi-agent world modeling, vision-language-action models, agent skill optimization, and alignment frameworks.

Top AI Papers of The Week (May 25-31): - Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players - SkillOpt: Executive Strategy for Self-Evolving Agent Skills - Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments by Alibaba - LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding - AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security - DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning - Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models - WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation - Rethinking Cross-Layer Information Routing in Diffusion Transformers Find them below:
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Top AI Papers of The Week (May 25-31):

  • Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players
  • SkillOpt: Executive Strategy for Self-Evolving Agent Skills
  • Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments by Alibaba
  • LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding
  • AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security
  • DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning
  • Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models
  • WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation
  • Rethinking Cross-Layer Information Routing in Diffusion Transformers

Find them below:

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