Writing study: EigenBench: A Comparative Behavioral Measure of Value Alignment
← ICLR 2026 oral writing corpus
Jonathn Chang, Leonhard Piff, Suvadip Sana, Jasmine Li, Lionel Levine · Official ICLR 2026 oral record
Figure, table and section ledger
Editorial contribution type: Datasets, benchmarks & measurement resources (primary) · Empirical analysis, diagnosis & auditing.
Layout extraction, not a required paper template. Counts are distinct caption labels; a multi-panel figure counts once. Section spans are estimated from heading positions, including floats and whitespace. Method and limitations.
- Canonical PDF
- 29 physical pages
- Before references / appendix
- ≈ 10.2 page-equivalents
- Main figures / tables
- 3 / 4
- Attached appendix figures / tables
- 7 / 14
- Attached appendix span
- ≈ 16.9 page-equivalents
Section-by-section lengths and source pages
The title/abstract/front matter precede the first numbered heading. A span ends at the next detected top-level heading, not at the last sentence; end-page whitespace is included. References and statements are listed separately. These are not measurements of text-only or artwork area.
| Top-level heading | Starts on PDF page | Estimated span | Share of entire PDF |
|---|---|---|---|
| 1 INTRODUCTION | 1 | ≈ 2.19 pp. | 7.55% |
| 2 RELATED WORK | 3 | ≈ 0.83 pp. | 2.86% |
| 3 METHODOLOGY | 4 | ≈ 2.64 pp. | 9.1% |
| 4 RESULTS | 7 | ≈ 1.28 pp. | 4.41% |
| 5 BASELINES | 8 | ≈ 1.14 pp. | 3.93% |
| 6 ROBUSTNESS | 9 | ≈ 1.02 pp. | 3.52% |
| 7 CONCLUSION, LIMITATIONS, AND FUTURE DIRECTIONS | 10 | ≈ 0.49 pp. | 1.69% |
| 8 ACKNOWLEDGMENTS | 11 | ≈ 0.1 pp. | 0.34% |
| REFERENCES | 11 | ≈ 1.9 pp. | 6.55% |
| Appendix | 13 | ≈ 0.04 pp. | 0.14% |
| A MODELS | 13 | ≈ 0.5 pp. | 1.72% |
| B CONSTITUTIONS, SCENARIOS, AND PERSONAS | 13 | ≈ 0.52 pp. | 1.79% |
| C DATA COLLECTION | 14 | ≈ 0.4 pp. | 1.38% |
| D PROMPTS FOR JUDGE SCAFFOLD | 14 | ≈ 0.69 pp. | 2.38% |
| E OPTIMIZATION | 15 | ≈ 1.17 pp. | 4.03% |
| F PROMPTED DISPOSITIONS VARIANCE CALCULATION | 16 | ≈ 0.26 pp. | 0.9% |
| G MODEL SURVEY DETAILS | 16 | ≈ 0.12 pp. | 0.41% |
| H HUMAN VALIDATION DETAILS | 16 | ≈ 2.71 pp. | 9.34% |
| I GPQA VALIDATION DETAILS | 19 | ≈ 0.37 pp. | 1.28% |
| J JUDGE QUALITY TESTS | 19 | ≈ 0.87 pp. | 3% |
| K LARGE POPULATION RUN | 20 | ≈ 2.03 pp. | 7% |
| L GREENBEARD EFFECT | 22 | ≈ 7.23 pp. | 24.93% |
All detected figure and table locations
Main text
Attached appendix
- Table 5 · p. 13
- Figure 4 · p. 16
- Figure 5 · p. 17
- Table 6 · p. 18
- Figure 6 · p. 18
- Figure 7 · p. 19
- Table 7 · p. 19
- Table 8 · p. 21
- Figure 8 · p. 21
- Table 9 · p. 22
- Figure 9 · p. 23
- Figure 10 · p. 23
- Table 10 · p. 24
- Table 11 · p. 25
- Table 12 · p. 26
- Table 13 · p. 26
- Table 14 · p. 27
- Table 15 · p. 28
- Table 16 · p. 28
- Table 17 · p. 28
- Table 18 · p. 29
Argument and organization
- Define the object being measured
Specifies model population, constitution, and scenario distribution before explaining pairwise judgments and eigenvector aggregation.
- Validation before robustness
Contrasts revealed and stated preferences, checks human and objective-task agreement, then perturbs the benchmark inputs.
Problem, claim and contribution
The opening makes subjectivity a design constraint and clearly defines the score as comparative consensus over three inputs, not an absolute attribute of a model.
Sections 1 and 3.1–3.3 · Main paper
Argument and section order
A short comparison table distinguishes competing ranking systems by the question they answer, avoiding a superficial feature checklist.
Table 1, p. 4 · Main paper
Figures, captions and visual explanation
The pipeline pairs a concrete scenario and judge comparison with latent fitting and score aggregation. Its caption states the crucial information boundary: only judges receive the constitution.
Figure 1, p. 2 · Main paper
Tables, comparisons and evidence
Constitution-specific score plots show bootstrap intervals rather than just ranked bars. Human validation, GPQA rank recovery, and population perturbations test different aspects of the measurement claim.
Figure 3; Sections 5–6 · Main paper
Appendix and reproducibility
Exact model identifiers, full prompts, constitutions, judge-bias ablations, and sample-size stability are retained. The adversarial Greenbeard study exposes a limitation instead of assuming peer aggregation is manipulation-proof.
Appendices A–D, J–L · Main paper
Clarity and writing conventions
The premise that aligned behavior predicts judging quality is explicitly acknowledged as an assumption. The human validation is only seven people, including authors, and its human–human average includes zero self-distances.
Section 1, footnote 4; Appendix H · Main paper
What to reuse—and what not to infer
Transferable lesson: For a subjective benchmark, define the measurement population and criteria first, publish the elicitation protocol, and validate several distinct failure modes instead of treating one correlation as universal validity.
Boundary: Scores reflect the selected model community, scenarios, and constitution. GPQA agreement does not establish normative correctness. Figure 1 simplifies away tie terms used in Section 3.6, and the optimization appendix should not be treated as a general guarantee against bad local minima in low-rank fitting.
Apply this lesson using the argument and evidence worksheet.
Inspection record and sources
- Checked
- 2026-09-19
- Reading status
- Full text + selected visuals inspected
- Main text
- PDF pp. 1–10, Sections 1–7, including all validation and robustness studies.
- Appendix / supplement
- PDF pp. 13–29, Appendices A–L, model IDs, constitutions, prompts, optimization, human validation, larger population, and Greenbeard experiment.
- Visually inspected PDF pages
- 2, 7, 21