Masked Diffusion Language Agents for Tool-Integrated Chemical Reasoning

Key points

• Designing tool-integrated reasoning agent systems for complex chemical tasks remains a fundamental challenge.1
• Although recent chemical agents have demonstrated promising performance through the integration of external tools, they are still built on the autoregressive paradigm, which is inherently constrained by causal attention and left-to-right generation.1
• It reformulates chemical reasoning as iterative denoising over interleaved reasoning and tool-use trajectories, enabling tool-use decisions to be jointly determined under full-trajectory context and thereby better aligning the agent's decision boundary with its knowledge boundary.1
• Then we develop a two-stage post-training framework, comprising agentic supervised fine-tuning and variance-reduced preference optimization, to enhance tool-use and reasoning capabilities.1

Sources (1)

• [1]Masked Diffusion Language Agents for Tool-Integrated Chemical Reasoning
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 9, 10:07 AM

  To address this challenge, we introduce ChemDiffAgent, the first masked diffusion language agent for tool-integrated chemical reasoning.

  Designing tool-integrated reasoning agent systems for complex chemical tasks remains a fundamental challenge.

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