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run_id
string
iteration
int64
cumulative_tokens
int64
best_val_score
float64
accepted
bool
candidate_idx
int64
candidate_prompt
string
best_prompt
string
fixed_iter_rlm_k20
1
134,217
0.466667
true
1
Answer construction and checking checklist: A. Final answer format - Print only the final answer on the last line as: ### <answer> (no extra text) [Ex 1–14]. - Preserve required leading zeros to 3 digits when that convention is used (e.g., ### 021, ### 073, ### 033) [Ex 5, Ex 11, Ex 14]. - When the prompt asks for m+n...
Answer construction and checking checklist: A. Final answer format - Print only the final answer on the last line as: ### <answer> (no extra text) [Ex 1–14]. - Preserve required leading zeros to 3 digits when that convention is used (e.g., ### 021, ### 073, ### 033) [Ex 5, Ex 11, Ex 14]. - When the prompt asks for m+n...
fixed_iter_rlm_k20
2
405,119
0.466667
true
2
New Instructions for the Assistant 1) Final output format (Examples 1, 7): Produce exactly one line containing the answer in the form '### <answer>', with no other text, explanations, headings, or lines before or after. 2) Three-digit padding (Examples 3, 8, 10, 13, 9): When the answer is an integer in AIME-style 0–9...
Answer construction and checking checklist: A. Final answer format - Print only the final answer on the last line as: ### <answer> (no extra text) [Ex 1–14]. - Preserve required leading zeros to 3 digits when that convention is used (e.g., ### 021, ### 073, ### 033) [Ex 5, Ex 11, Ex 14]. - When the prompt asks for m+n...
fixed_iter_rlm_k20
3
687,283
0.466667
false
2
New Instructions for the Assistant 1) Final output format (Examples 1, 7): Produce exactly one line containing the answer in the form '### <answer>', with no other text, explanations, headings, or lines before or after. 2) Three-digit padding (Examples 3, 8, 10, 13, 9): When the answer is an integer in AIME-style 0–9...
Answer construction and checking checklist: A. Final answer format - Print only the final answer on the last line as: ### <answer> (no extra text) [Ex 1–14]. - Preserve required leading zeros to 3 digits when that convention is used (e.g., ### 021, ### 073, ### 033) [Ex 5, Ex 11, Ex 14]. - When the prompt asks for m+n...
fixed_iter_rlm_k20
4
894,987
0.466667
false
2
New Instructions for the Assistant 1) Final output format (Examples 1, 7): Produce exactly one line containing the answer in the form '### <answer>', with no other text, explanations, headings, or lines before or after. 2) Three-digit padding (Examples 3, 8, 10, 13, 9): When the answer is an integer in AIME-style 0–9...
Answer construction and checking checklist: A. Final answer format - Print only the final answer on the last line as: ### <answer> (no extra text) [Ex 1–14]. - Preserve required leading zeros to 3 digits when that convention is used (e.g., ### 021, ### 073, ### 033) [Ex 5, Ex 11, Ex 14]. - When the prompt asks for m+n...
fixed_iter_rlm_k20
5
1,023,988
0.466667
false
2
New Instructions for the Assistant 1) Final output format (Examples 1, 7): Produce exactly one line containing the answer in the form '### <answer>', with no other text, explanations, headings, or lines before or after. 2) Three-digit padding (Examples 3, 8, 10, 13, 9): When the answer is an integer in AIME-style 0–9...
Answer construction and checking checklist: A. Final answer format - Print only the final answer on the last line as: ### <answer> (no extra text) [Ex 1–14]. - Preserve required leading zeros to 3 digits when that convention is used (e.g., ### 021, ### 073, ### 033) [Ex 5, Ex 11, Ex 14]. - When the prompt asks for m+n...
fixed_iter_rlm_k20
6
1,150,570
0.466667
false
2
New Instructions for the Assistant 1) Final output format (Examples 1, 7): Produce exactly one line containing the answer in the form '### <answer>', with no other text, explanations, headings, or lines before or after. 2) Three-digit padding (Examples 3, 8, 10, 13, 9): When the answer is an integer in AIME-style 0–9...
Answer construction and checking checklist: A. Final answer format - Print only the final answer on the last line as: ### <answer> (no extra text) [Ex 1–14]. - Preserve required leading zeros to 3 digits when that convention is used (e.g., ### 021, ### 073, ### 033) [Ex 5, Ex 11, Ex 14]. - When the prompt asks for m+n...

gepa-rlm-exp-failures_only-20260219-191545

GEPA prompt optimization experiment on AIME math problems.

Task LM: openai/gpt-4.1-mini | Reflection LM: openai/gpt-5 | Reflection Mode: failures_only | Last updated: 2026-02-19 21:50 UTC

Results

Run Method k Mode Val Score Test Acc Tokens Cost Time
fixed_rlm_k20 rlm 20 failures_only 46.67% 30.67% 1,150,570 $0.0000 5996s

Learning Curves

Learning Curve

Experiment Config

{
  "script_name": "run_experiment.py",
  "model": "openai/gpt-4.1-mini",
  "reflection_lm": "openai/gpt-5",
  "reflection_mode": "failures_only",
  "hyperparameters": {
    "task_lm": "openai/gpt-4.1-mini",
    "reflection_lm": "openai/gpt-5",
    "reflection_mode": "failures_only",
    "seed_prompt": "You are a helpful assistant. You are given a question and you need to answer it. The answer should b..."
  },
  "input_datasets": [
    "AI-MO/aimo-validation-aime",
    "MathArena/aime_2025"
  ],
  "description": "GEPA prompt optimization experiment on AIME (reflection_mode=failures_only)",
  "num_runs": 1,
  "last_updated": "2026-02-19 21:50 UTC"
}

Dataset Configs

This repo contains multiple configs (subsets). Load them with:

from datasets import load_dataset

results    = load_dataset("reasoning-degeneration-dev/gepa-rlm-exp-failures_only-20260219-191545", "results", split="train")
traces     = load_dataset("reasoning-degeneration-dev/gepa-rlm-exp-failures_only-20260219-191545", "traces", split="train")
val_traces = load_dataset("reasoning-degeneration-dev/gepa-rlm-exp-failures_only-20260219-191545", "val_traces", split="train")
curves     = load_dataset("reasoning-degeneration-dev/gepa-rlm-exp-failures_only-20260219-191545", "curves", split="train")
Config Description
results Per-run summary: method, k, val/test scores, tokens, cost, optimized prompt
traces Per-example test set traces with model responses and scores
val_traces Per-iteration validation traces with the prompt used at each step
curves Per-iteration learning curves: tokens, scores, candidate prompts

State file: state.json

For experiment design details, see EXPERIMENTS-DESIGN.md

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