FIELD NOTES TOPIC

scientific-ai

3 notes, newest first.

  1. Reinforcing Agentic Creativity in Scientific Ideation with Night Science

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    The preprint introduces AI Night-Scientist, an agentic framework that uses reinforcement learning to shape when and how a model departs from predictable reasoning. It models creativity along action, process, and…

  2. SciWalker: Synthesizing Scientific Coding Problems with Operator Graphs and Execution Feedback

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    The preprint describes a framework for synthesizing scientific coding problems by sampling operator chains from graphs built from scientific library interfaces and operation modes. An LLM generates problem statements…

  3. PosteriorBench: From Point Estimates to Posterior Matching in Evaluating Generative Inverse Solvers

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    PosteriorBench evaluates whether generative inverse solvers recover full solution distributions rather than only one plausible reconstruction. It covers four physics-based inverse problems and uses reference posteriors…