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Notes on grading

4 notes

  1. Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning

    Source note · Jul 8, 2026 · ai, reinforcement learning, grading

    The paper introduces Agon, a new reinforcement learning approach that trains two reasoning models by having them compete against each other. This competitive grading system aims to improve the quality of thinking…

  2. Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach

    Source note · Jul 2, 2026 · ai in education, grading

    A study evaluates four large language models (GPT, Claude Opus, Gemini, and GLM) to grade Linux/bash command responses for computing education. The study uses a four-level cognitive taxonomy that assesses the…

  3. Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach

    Source note · Jul 2, 2026 · artificial intelligence, machine learning, large language models

    The paper evaluates whether four large language models can approximate the judgement of experts when grading Linux/bash command responses from second-year Computer Engineering students. The study uses a four-level…

  4. Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach

    Source note · Jul 2, 2026 · large language models, ai in education, grading

    This research evaluates the effectiveness of four large language models in grading Linux/bash command responses from second-year Computer Engineering students' exams. The study uses a four-level cognitive taxonomy…

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