| """GRIP Figure: per-question adjusted accuracy, ten frontier models. |
| |
| Slope chart. Colour encodes the direction of the Q4 -> Q5 step, which is the |
| finding: the three models that improve there are the three strongest overall. |
| Identity is carried by direct labels, never by colour alone. |
| |
| Palette: slots 1 and 2 of the validated categorical set. |
| node scripts/validate_palette.js "#2a78d6,#eb6834" --mode light -> ALL PASS |
| |
| Outputs figures/GRIP_levels.pdf (vector, for LaTeX) and .png (for preview). |
| """ |
| import matplotlib |
| matplotlib.use("Agg") |
| import matplotlib.pyplot as plt |
| from matplotlib.lines import Line2D |
|
|
| |
| DATA = [ |
| ("Gemini 3.8 Flash", [.763, .494, .539, .341, .404]), |
| ("Claude Opus 5", [.714, .514, .491, .287, .374]), |
| ("Grok 4.6", [.520, .426, .371, .165, .203]), |
| ("Claude Sonnet 5", [.543, .397, .346, .146, .044]), |
| ("GPT-5.6 Sol", [.573, .326, .342, .133, .015]), |
| ("Muse Glimmer 30B", [.587, .135, .116, .021, -.218]), |
| ("GPT-5.6 Luna", [.489, .027, .188, .017, -.204]), |
| ("DeepSeek V4.1 Flash", [.531, -.006, .191, -.054, -.243]), |
| ("Perplexity Sonar Pro", [.486, .017, .138, -.142, -.216]), |
| ("Inkling", [.390, .049, .106, -.019, -.297]), |
| ] |
|
|
| UP, DOWN = "#2a78d6", "#eb6834" |
| INK, MUTED, GRID = "#0b0b0b", "#52514e", "#d8d8d4" |
|
|
| def declutter(ys, gap): |
| """Push labels apart while preserving order.""" |
| order = sorted(range(len(ys)), key=lambda i: ys[i]) |
| out = list(ys) |
| for k in range(1, len(order)): |
| a, b = order[k - 1], order[k] |
| if out[b] - out[a] < gap: |
| out[b] = out[a] + gap |
| return out |
|
|
| fig, ax = plt.subplots(figsize=(5.4, 3.5)) |
| fig.patch.set_facecolor("white"); ax.set_facecolor("white") |
| x = [1, 2, 3, 4, 5] |
|
|
| rows = [(n, v, UP if v[4] > v[3] else DOWN) for n, v in DATA] |
| lab_y = declutter([v[4] for _, v, _ in rows], 0.052) |
|
|
| for (name, v, colour), y in zip(rows, lab_y): |
| ax.plot(x, v, color=colour, lw=1.4, zorder=3, |
| solid_capstyle="round", alpha=0.95) |
| ax.plot(x, v, "o", color=colour, ms=3.4, zorder=4, |
| markeredgecolor="white", markeredgewidth=0.7) |
| ax.plot([5, 5.13], [v[4], y], color=colour, lw=0.5, alpha=0.5, zorder=2) |
| ax.text(5.18, y, name, color=INK, fontsize=6.2, va="center", ha="left") |
|
|
| ax.axhline(0, color=MUTED, lw=0.8, ls=(0, (4, 3)), zorder=1) |
| ax.text(0.92, -0.018, "constant answering", fontsize=6.0, color=MUTED, |
| ha="left", va="top") |
|
|
| ax.set_xlim(0.88, 7.25); ax.set_ylim(-0.36, 0.83) |
| ax.set_xticks(x) |
| ax.set_xticklabels(["Q1", "Q2", "Q3", "Q4", "Q5"], fontsize=7.6, color=INK) |
| ax.set_yticks([-0.2, 0, 0.2, 0.4, 0.6, 0.8]) |
| ax.tick_params(axis="y", labelsize=7.0, colors=MUTED, length=0) |
| ax.tick_params(axis="x", length=0) |
| ax.set_ylabel("accuracy above baseline", fontsize=7.4, color=MUTED, labelpad=4) |
| ax.set_xlabel("question position", fontsize=7.4, color=MUTED, labelpad=3) |
| ax.grid(axis="y", color=GRID, lw=0.5, zorder=0) |
| ax.set_axisbelow(True) |
| for s in ("top", "right", "left"): |
| ax.spines[s].set_visible(False) |
| ax.spines["bottom"].set_color(GRID); ax.spines["bottom"].set_linewidth(0.6) |
|
|
| ax.legend(handles=[Line2D([], [], color=UP, lw=1.6, |
| label="improves at Q5 (3 models)"), |
| Line2D([], [], color=DOWN, lw=1.6, |
| label="declines at Q5 (7 models)")], |
| loc="upper right", bbox_to_anchor=(1.0, 1.04), frameon=False, |
| fontsize=6.4, handlelength=1.5, labelcolor=INK, borderpad=0.2) |
|
|
| fig.tight_layout(pad=0.4) |
| fig.savefig("figures/GRIP_levels.pdf", bbox_inches="tight") |
| fig.savefig("figures/GRIP_levels.png", dpi=220, bbox_inches="tight") |
| print("Q4->Q5 improves:", [n for n, v, c in rows if c == UP]) |
| print("wrote figures/GRIP_levels.pdf and .png") |
|
|
