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LLM Stats
CRUXEval-Input-CoT
CRUXEval input prediction task with Chain of Thought (CoT) prompting. Part of the CRUXEval benchmark for code reasoning, understanding, and execution evaluation. Given a Python function and its expected output, the task is to predict the appropriate input using chain-of-thought reasoning. Consists of 800 Python functions (3-13 lines) designed to evaluate code comprehension and reasoning capabilities.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 1
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Qwen2.5-Coder 7B Instruct | 0.565 | Not recorded | Not recorded | 2024-09-19 · model_announcement | LLM Stats |