Contribution to the handbook
Supporting · Assessed 2026-10-28
A temperature-sensitivity check is useful technical-validation context, but this narrow finding does not specify a governance system or establish broader robustness.
Does this challenge the goal?
In-scope gap
Temperature sensitivity is a model-testing detail within the existing exploration goal, not a challenge to the goal or beneficiary boundary.
The supplied evidence confirms tests but gives little detail about settings and results.
Why this category?
- Identifies a model-sensitivity test relevant to technical validation.
- The supplied records do not establish robustness across other models, tasks, or governance contexts.
The supplied records do not give the tested temperature settings or underlying analysis; the reported finding cannot be independently assessed here.
This is an AI assessment of contribution to the goal, separate from whether the question has an answer.
Tests, stop conditions and unresolved work →
Read the exploration goalDetermine whether the authors tested the effect of changing model temperature on results; do not infer an outcome merely from the existence of a test.
What we can say so far
Yes. The supplied material reports that the authors conducted temperature-sensitivity tests. It does not establish the tests’ outcomes from the supporting analysis, so no conclusion about their effect on results is drawn here.
What remains open
- The number and range of temperature settings are not given in the supplied material.
- The test results are not described in the supplied passages.
Conditions and limits
- This is based on interpretations of the retrieved preprint, not independent verification.
- The supplied material does not include the supporting analysis of the tests.
Evidence and related ideas
Supporting evidence, qualifications and context play different roles in this answer.
supports
Temperature setting The authors say changing the model’s temperature did not affect their results, although they trained at temperature zero for reproducibility.
Reports that the authors changed temperature settings and says results were unaffected; the supporting analysis is not supplied.
Large Language Models (LLMs) as Agents for Augmented Democracy
Read full source: Large Language Models (LLMs) as Agents for Augmented Democracy (opens in a new tab) ↗Read source discussion: Large Language Models (LLMs) as Agents for Augmented Democracy →
supports
Temperature tests are reported The authors report that temperature sensitivity tests are presented in Appendix H. These passages do not state what those tests found.
Reports that temperature-sensitivity tests appear in Appendix H, without stating their findings.
Large Language Models (LLMs) as Agents for Augmented Democracy
Read full source: Large Language Models (LLMs) as Agents for Augmented Democracy (opens in a new tab) ↗Read source discussion: Large Language Models (LLMs) as Agents for Augmented Democracy →
supports
Temperature checks The researchers ran temperature sensitivity tests for GPT-3.5 Turbo and Mistral 7B, but the supplied passage contains no results from those tests.
Reports temperature-sensitivity tests for GPT-3.5 Turbo and Mistral 7B, without settings, measurements, or outcomes.
Large Language Models (LLMs) as Agents for Augmented Democracy
Read full source: Large Language Models (LLMs) as Agents for Augmented Democracy (opens in a new tab) ↗