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
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
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.
citing papers explorer
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Loom: A Scalable Analytical Neural Computer Architecture
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.
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Evaluating Code Reasoning Abilities of Large Language Models Under Real-World Settings
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.
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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.