R0023/2026-03-25/Q004/SRC02
PEPR: Prompt Exploration with Prompt Regression — the only peer-reviewed academic paper on prompt regression
Source
| Field |
Value |
| Title |
Prompt Exploration with Prompt Regression (PEPR) |
| Publisher |
arXiv / OpenReview |
| Author(s) |
Not fully extracted |
| Date |
2024-05 |
| URL |
https://arxiv.org/html/2405.11083v1 |
| Type |
Research paper (preprint) |
Summary
| Dimension |
Rating |
| Reliability |
Medium |
| Relevance |
High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
Low risk |
| Bias: Selective reporting |
Low risk |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Academic preprint on arXiv and OpenReview. Proposes a specific methodology for predicting prompt regression effects. |
| Relevance |
The only peer-reviewed academic contribution specifically addressing prompt regression testing methodology. Directly answers Q004's question about published frameworks. |
| Bias flags |
Low risk. Academic researchers without apparent vendor affiliation. |
| Evidence ID |
Summary |
| SRC02-E01 |
PEPR proposes a framework to predict prompt combination effects and select effective prompts per use-case |