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| "schema_version": 2, |
| "title": "Reproduction: MASH: Modeling Abstention via Selective Help-Seeking", |
| "emoji": "🎯", |
| "space_id": "SabaPivot/repro-mash-selective-help-seeking", |
| "paper": { |
| "arxiv_id": "2510.01152" |
| }, |
| "tags": [ |
| "icml2026-repro", |
| "paper-d5rd1zlHTf" |
| ], |
| "updated_at": "2026-07-28T14:49:50+00:00", |
| "root": { |
| "slug": "index", |
| "title": "Reproduction: MASH: Modeling Abstention via Selective Help-Seeking", |
| "file": "pages/index.md", |
| "children": [ |
| { |
| "slug": "executive-summary", |
| "title": "Executive summary", |
| "file": "pages/executive-summary/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-1-on-hotpotqa-mash-improves-answer-accuracy-by-7-6-percentage-points", |
| "title": "Claim 1: On HotPotQA, MASH improves answer accuracy by 7.6 percentage points", |
| "file": "pages/claim-1-on-hotpotqa-mash-improves-answer-accuracy-by-7-6-percentage-points/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-2-on-2wikimultihopqa-mash-improves-accuracy-by-6-64-percentage-points-over", |
| "title": "Claim 2: On 2WikiMultihopQA, MASH improves accuracy by 6.64 percentage points over", |
| "file": "pages/claim-2-on-2wikimultihopqa-mash-improves-accuracy-by-6-64-percentage-points-over/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-3-mash-improves-average-tool-productivity-by-3-83-points-across-evaluated", |
| "title": "Claim 3: MASH improves average Tool Productivity by 3.83 points across evaluated", |
| "file": "pages/claim-3-mash-improves-average-tool-productivity-by-3-83-points-across-evaluated/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-4-on-the-subset-of-hotpotqa-questions-requiring-exactly-one-search", |
| "title": "Claim 4: On the subset of HotPotQA questions requiring exactly one search", |
| "file": "pages/claim-4-on-the-subset-of-hotpotqa-questions-requiring-exactly-one-search/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-5-in-the-abstention-inference-mode-mash-with-otc-strict-reaches-59-9", |
| "title": "Claim 5: In the abstention inference mode, MASH with OTC-Strict reaches 59.9%", |
| "file": "pages/claim-5-in-the-abstention-inference-mode-mash-with-otc-strict-reaches-59-9/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-6-mash-is-trained-via-a-two-step-pipeline-of-warm-start-supervised", |
| "title": "Claim 6: MASH is trained via a two-step pipeline of warm-start supervised", |
| "file": "pages/claim-6-mash-is-trained-via-a-two-step-pipeline-of-warm-start-supervised/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "conclusion", |
| "title": "Conclusion", |
| "file": "pages/conclusion/page.md", |
| "children": [] |
| } |
| ] |
| }, |
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