## Bar Chart: OpenAI RE Interview Coding ### Overview The image is a bar chart comparing the pass rates of different coding models in OpenAI's RE (Research Engineer) interviews. The chart compares the pass rates for "pass@1" (blue bars) and "pass@128" (green bars) across various models, both before and after mitigation strategies were implemented. The y-axis represents the pass rate, ranging from 0% to 100%. The x-axis represents the different models and their pre- and post-mitigation states. ### Components/Axes * **Title:** OpenAI RE Interview Coding * **Y-axis:** * Label: Pass Rate * Scale: 0%, 20%, 40%, 60%, 80%, 100% * **X-axis:** * Categories: GPT-4o, o1-mini (Pre-Mitigation), o1-mini (Post-Mitigation), o1-preview (Pre-Mitigation), o1-preview (Post-Mitigation), o1 (Pre-Mitigation), o1 (Post-Mitigation) * **Legend:** Located at the top of the chart. * Blue square: pass@1 * Green square: pass@128 ### Detailed Analysis Here's a breakdown of the pass rates for each model and condition: * **GPT-4o:** * pass@1 (blue): 73% * pass@128 (green): 95% * **o1-mini (Pre-Mitigation):** * pass@1 (blue): 93% * pass@128 (green): 100% * **o1-mini (Post-Mitigation):** * pass@1 (blue): 83% * pass@128 (green): 100% * **o1-preview (Pre-Mitigation):** * pass@1 (blue): 88% * pass@128 (green): 100% * **o1-preview (Post-Mitigation):** * pass@1 (blue): 81% * pass@128 (green): 100% * **o1 (Pre-Mitigation):** * pass@1 (blue): 79% * pass@128 (green): 100% * **o1 (Post-Mitigation):** * pass@1 (blue): 83% * pass@128 (green): 100% ### Key Observations * The "pass@128" consistently has a higher pass rate than "pass@1" across all models and conditions. * The "pass@128" rate is at 100% for all models except GPT-4o. * Mitigation strategies appear to have a mixed impact on "pass@1" rates, with some models showing an increase and others a decrease. * GPT-4o has the lowest "pass@1" and "pass@128" rates compared to the other models. ### Interpretation The data suggests that the "pass@128" setting is significantly more effective than "pass@1" in the OpenAI RE interview coding tasks, achieving perfect scores for most models. The mitigation strategies implemented have varying effects on the "pass@1" rates, indicating that their effectiveness may depend on the specific model. The GPT-4o model seems to perform less effectively in this context compared to the other models, suggesting potential areas for improvement or optimization. The consistent 100% pass rate for "pass@128" after mitigation for most models indicates a high level of proficiency in the coding tasks.