\n ## Line Chart: HotPotQA CoT (GT) Performance ### Overview This line chart depicts the performance of two approaches – "CoT (GT) only" and "CoT (GT) + Reflexion" – on the HotPotQA dataset, measured by the proportion of solved tasks across multiple trials. The x-axis represents the trial number, ranging from 0 to 7, while the y-axis represents the proportion of solved tasks, ranging from 0.4 to 1.0. ### Components/Axes * **Title:** (b) HotPotQA CoT (GT) * **X-axis Label:** Trial Number * **Y-axis Label:** Proportion of Solved Tasks * **Legend:** * "CoT (GT) only" - Represented by a light gray dashed line. * "CoT (GT) + Reflexion" - Represented by a dark red solid line with diamond markers. * **X-axis Markers:** 0, 1, 2, 3, 4, 5, 6, 7 * **Y-axis Markers:** 0.4, 0.6, 0.8, 1.0 ### Detailed Analysis **CoT (GT) only (Light Gray Dashed Line):** The line is relatively flat, indicating consistent performance across all trials. * Trial 0: Approximately 0.61 * Trial 1: Approximately 0.61 * Trial 2: Approximately 0.61 * Trial 3: Approximately 0.61 * Trial 4: Approximately 0.61 * Trial 5: Approximately 0.61 * Trial 6: Approximately 0.61 * Trial 7: Approximately 0.61 **CoT (GT) + Reflexion (Dark Red Solid Line with Diamond Markers):** The line shows an upward trend, indicating improving performance with each trial, then plateaus. * Trial 0: Approximately 0.68 * Trial 1: Approximately 0.70 * Trial 2: Approximately 0.72 * Trial 3: Approximately 0.74 * Trial 4: Approximately 0.76 * Trial 5: Approximately 0.78 * Trial 6: Approximately 0.77 * Trial 7: Approximately 0.76 ### Key Observations * The "CoT (GT) + Reflexion" approach consistently outperforms the "CoT (GT) only" approach across all trials. * The performance of "CoT (GT) + Reflexion" improves significantly in the first five trials, then appears to reach a plateau. * The "CoT (GT) only" approach shows no significant improvement over the trials. * The difference in performance between the two approaches is approximately 0.1-0.15 at trial 7. ### Interpretation The data suggests that incorporating Reflexion into the CoT (GT) approach significantly improves performance on the HotPotQA dataset. The initial rapid improvement indicates that Reflexion is effective at learning from past mistakes and refining the problem-solving process. The plateauing performance after trial 5 suggests that the model may have reached its maximum potential with the given setup, or that further improvements require more complex techniques or a larger dataset. The consistent, but lower, performance of the "CoT (GT) only" approach highlights the benefit of iterative refinement and self-reflection in complex reasoning tasks. The consistent performance of the baseline suggests that the CoT method itself is stable, but limited in its ability to improve without the addition of Reflexion.