Loom implements a 22-opcode C-compatible computer inside an 8-layer transformer with analytically derived, program-independent weights, executing instructions iteratively on a fixed-size state tensor at constant per-step cost.
Code simulation as a proxy for high-order tasks in large language models
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A new dataset and nine-metric majority-vote procedure show that existing code-reasoning benchmarks are dominated by lower-complexity problems that do not reflect real-world code.
CodeMind evaluates ten LLMs on four benchmarks using three new code reasoning tasks, finding performance varies by model size and drops with complexity while showing no correlation with bug repair ability.
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CodeMind: Evaluating Large Language Models for Code Reasoning
CodeMind evaluates ten LLMs on four benchmarks using three new code reasoning tasks, finding performance varies by model size and drops with complexity while showing no correlation with bug repair ability.