1 citations · 1 across the 6 of their papers we have counts for
3 papers · 1 filter
EvoSkill: Automated Skill Discovery for Multi-Agent Systems
Salaheddin Alzubi, Noah Provenzano, Jaydon Bingham +2
Coding agents are increasingly used as general-purpose problem solvers, but their flexibility does not by itself confer the domain expertise needed for specialized tasks. Recent wo…
PRISM: Pushing the Frontier of Deep Think via Process Reward Model-Guided Inference
Rituraj Sharma, Weiyuan Chen, Noah Provenzano +1
DEEPTHINK methods improve reasoning by generating, refining, and aggregating populations of candidate solutions, which enables strong performance on complex mathematical and scient…
ROMA: Recursive Open Meta-Agent Framework for Long-Horizon Multi-Agent Systems
Salaheddin Alzu'bi, Baran Nama, Arda Kaz +6
Current agentic frameworks underperform on long-horizon tasks. As reasoning depth increases, sequential orchestration becomes brittle, context windows impose hard limits that degra…