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Upgrade Claim 5 with audited Qwen2.5-3B MMLU evidence
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{
"schema_version": 1,
"title": "Repro - Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models",
"emoji": "🎯",
"space_id": "SabaPivot/repro-finetuning-without-forgetting-icl",
"paper": {
"arxiv_id": "2602.23197"
},
"tags": [
"icml2026-repro",
"paper-jl2f2Y3iuC"
],
"updated_at": "2026-07-31T04:20:00+00:00",
"root": {
"slug": "index",
"title": "Repro - Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models",
"file": "pages/index.md",
"children": [
{
"slug": "executive-summary",
"title": "Executive summary",
"file": "pages/executive-summary/page.md",
"children": []
},
{
"slug": "claim-1-full-fine-tuning-degrades-in-context-learning",
"title": "Claim 1: Full fine-tuning degrades in-context learning",
"file": "pages/claim-1-full-fine-tuning-degrades-in-context-learning/page.md",
"children": []
},
{
"slug": "claim-2-value-only-fine-tuning-preserves-in-context-learning",
"title": "Claim 2: Value-only fine-tuning preserves in-context learning",
"file": "pages/claim-2-value-only-fine-tuning-preserves-in-context-learning/page.md",
"children": []
},
{
"slug": "claim-3-auxiliary-few-shot-loss-trade-off",
"title": "Claim 3: Auxiliary few-shot loss trade-off",
"file": "pages/claim-3-auxiliary-few-shot-loss-trade-off/page.md",
"children": []
},
{
"slug": "claim-4-synthetic-linear-regression-experiment",
"title": "Claim 4: Synthetic linear-regression experiment",
"file": "pages/claim-4-synthetic-linear-regression-experiment/page.md",
"children": []
},
{
"slug": "claim-5-qwen2-5-mmlu-experiment",
"title": "Claim 5: Qwen2.5 MMLU experiment",
"file": "pages/claim-5-qwen2-5-mmlu-experiment/page.md",
"children": []
},
{
"slug": "conclusion",
"title": "Conclusion",
"file": "pages/conclusion/page.md",
"children": []
}
]
},
"agent_view_tokens": 12549,
"revision": "1784244535671852170"
}