GameGen-Verifier decomposes game specifications into keypoints, injects runtime states for targeted checks, and achieves 92.2% accuracy on 100 games while running up to 16.6x faster than agent-based baselines.
Metagpt: Meta programming for a multi-agent collaborative framework
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StepFly automates TSG execution via TSG Mentor, LLM-based DAG extraction with QPPs, and a DAG-guided parallel scheduler, reaching 94% success on GPT-4.1 with 32.9-70.4% time savings on parallelizable guides.
EvoMAS trains a workflow adapter with policy gradients to dynamically instantiate stage-specific multi-agent workflows from a fixed agent pool, using explicit task-state construction and terminal success signals, and outperforms static baselines on GAIA, HLE, and DeepResearcher.
citing papers explorer
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GameGen-Verifier: Parallel Keypoint-Based Verification for LLM-Generated Games via Runtime State Injection
GameGen-Verifier decomposes game specifications into keypoints, injects runtime states for targeted checks, and achieves 92.2% accuracy on 100 games while running up to 16.6x faster than agent-based baselines.
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StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis
StepFly automates TSG execution via TSG Mentor, LLM-based DAG extraction with QPPs, and a DAG-guided parallel scheduler, reaching 94% success on GPT-4.1 with 32.9-70.4% time savings on parallelizable guides.
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EvoMAS: Learning Execution-Time Workflows for Multi-Agent Systems
EvoMAS trains a workflow adapter with policy gradients to dynamically instantiate stage-specific multi-agent workflows from a fixed agent pool, using explicit task-state construction and terminal success signals, and outperforms static baselines on GAIA, HLE, and DeepResearcher.