| --- |
| pretty_name: DR-AntiForget RQ3 Writing Refresh |
| tags: |
| - continual-learning |
| - lora |
| - evaluation |
| --- |
| |
| # RQ3 Writing Refresh: Reproducibility Artifacts |
|
|
| This directory contains the compact reproducibility package for the RQ3.1 experiment that replaced only the `lora-writing` adapter with an OpenScholar-refreshed adapter (`writing++`) while keeping the Qwen3-32B base, Plan adapter, and Search adapter frozen. |
|
|
| ## Headline result |
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| The refresh improved teacher-forced performance on the new OpenScholar domain but did not yield a reliable general downstream improvement: |
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|
| | Evaluation set | Source PPL | Refreshed PPL | Relative change | |
| |---|---:|---:|---:| |
| | OpenScholar holdout | 3.5567 | 2.7634 | **-22.3%** | |
| | Historical Writing holdout | 1.5866 | 1.6561 | **+4.4%** | |
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| The downstream table should be interpreted as a preliminary negative/mixed result. Every paired 95% bootstrap confidence interval includes zero. See [`analysis/DECLINE_ANALYSIS.md`](analysis/DECLINE_ANALYSIS.md) for the failure and routing audit. |
|
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| ## Contents |
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| - `model/lora-writing/`: refreshed adapter config and weights. The weight SHA-256 is `4e31f83c31f4784647147eea5458f5e96cd7712f5a88b21c6fd1ae2b9919e6c5`. |
| - `downstream/downstream_examples.jsonl`: 1,800 final answers with questions, scores, failure flags, and source-file provenance; 2 adapter conditions × 3 routing modes × 3 benchmarks × 100 tasks. |
| - `downstream/aggregate_results.json`, `table.md`, and `table.tex`: exact aggregate reproduced from the 1,800 exported rows. |
| - `analysis/analysis_summary.json`: paired bootstrap intervals, win/tie/loss counts, answer lengths, failure transitions, dataset-shift statistics, and stage-reach summaries. |
| - `analysis/paired_deltas.csv`: all 21 routing/benchmark/metric paired comparisons. |
| - `analysis/trajectory_diagnostics.jsonl`: compact per-task routing diagnostics without raw chain-of-thought or judge reasoning. |
| - `analysis/dataset_shift.json`: descriptive statistics for the new-domain train split and historical Writing holdout. |
| - `splits/openscholar_split_manifest.json`: exact trajectory-grouped split (seed 42), including 795 train rows and 205 holdout rows with zero group overlap. |
| - `metadata/`: training state, paired NLL/PPL evaluation, experiment metadata, model/data revisions, and adapter hashes. |
| - `scripts/build_export.py`: deterministic export and validation script. It selects the latest scored record per cell/task, verifies all 18 cells against the published aggregate, and builds the compact files above. |
|
|
| ## Existing source data |
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| The raw source datasets already live in [`WeAct/DR-AntiForget`](https://huggingface.co/datasets/WeAct/DR-AntiForget) and are not duplicated here: |
|
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| - `lora_writing_openscholar/lora-writing-openscholar.jsonl` (1,000 rows) |
| - `tinker_holdout_test_v2/lora-writing_holdout_test.jsonl` (200 historical holdout rows) |
|
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| Dataset revision used by training: `3dde83eb8ee2518c3eea4ef5317a40189215e475`. |
|
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| ## JSONL schema |
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| Each row in `downstream/downstream_examples.jsonl` has: |
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| - `condition`: `original_writing` or `writing_pp` |
| - `routing`: `hard`, `soft`, or `soft_oracle` |
| - `benchmark`: `researchqa`, `healthbench`, or `deepresearchbench` |
| - `task_id`, `task_question`, `answer`, `answer_source`, `answer_length` |
| - `framework_failure`: answer begins with `Task incomplete` or `Task interrupted` |
| - `metrics`: raw 0–1 judge metrics (`coverage`, `score`, or the four DRB dimensions plus their mean) |
| - `source_files`: paths relative to the source evaluation run |
|
|
| ## Caveats |
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| HealthBench and DeepResearchBench scores use preliminary local Qwen3-32B judges. The run has one training seed and independently sampled agent/search trajectories. Use the retained answers for official-judge rescoring, and do not treat the current downstream deltas as statistically significant or as a clean causal estimate of the Writing adapter effect. |
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