DiG-Plan decouples combinatorial tool-set exploration via diffusion from structural refinement via autoregressive decoding, raising Pass@10 coverage from 0.32 to 0.94 in controlled tests and improving benchmark performance by 10%.
Beyond react: A planner- centric framework for complex tool-augmented LLM rea- soning.CoRR, abs/2511.10037,
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.AI 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A framework automates multi-agent system creation via LLM planning and two-stage agent recommendation, claiming higher recall than prior methods.
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DiG-Plan: Mitigating Early Commitment for Tool-Graph Planning via Diffusion Guidance
DiG-Plan decouples combinatorial tool-set exploration via diffusion from structural refinement via autoregressive decoding, raising Pass@10 coverage from 0.32 to 0.94 in controlled tests and improving benchmark performance by 10%.
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From Intent to Execution: Composing Agentic Workflows with Agent Recommendation
A framework automates multi-agent system creation via LLM planning and two-stage agent recommendation, claiming higher recall than prior methods.