From a research problem to a reviewer-defensible idea card — Automating the First Mile of Research Ideation.\n\nResearchStudio-Idea is a reusable research ideation skill suite that assists researchers in developing well-grounded research proposals. It combines three skills: Paper-Search for multi-source literature retrieval, Scoop-Check for prior-art collision detection, and IdeaSpark, an end-to-end workflow skill that grounds ideas in evidence, identifies research bottlenecks, applies reusable ideation patterns, audits risks, and generates structured research idea cards. The framework is built from an analysis of 1,947 machine learning papers published between 2021 and 2025, from which 15 reusable ideation patterns are distilled. Experiments show that it produces higher-quality research proposals than generic ideation baselines while maintaining competitive novelty.\n\n\n\n\n\n","html":"<blockquote>\n<p>From a research problem to a reviewer-defensible idea card — Automating the First Mile of Research Ideation.</p>\n</blockquote>\n<p>ResearchStudio-Idea is a reusable research ideation skill suite that assists researchers in developing well-grounded research proposals. It combines three skills: Paper-Search for multi-source literature retrieval, Scoop-Check for prior-art collision detection, and IdeaSpark, an end-to-end workflow skill that grounds ideas in evidence, identifies research bottlenecks, applies reusable ideation patterns, audits risks, and generates structured research idea cards. The framework is built from an analysis of 1,947 machine learning papers published between 2021 and 2025, from which 15 reusable ideation patterns are distilled. Experiments show that it produces higher-quality research proposals than generic ideation baselines while maintaining competitive novelty.</p>\n<p><a href=\"https://cdn-uploads.huggingface.co/production/uploads/665fc7da4058eea6b2209b67/oe_T2lnxIhR_4mGRfsgbd.png\" rel=\"nofollow\"><img src=\"https://cdn-uploads.huggingface.co/production/uploads/665fc7da4058eea6b2209b67/oe_T2lnxIhR_4mGRfsgbd.png\" alt=\"idea\"></a></p>\n<p><a href=\"https://cdn-uploads.huggingface.co/production/uploads/665fc7da4058eea6b2209b67/v4lQ1bX6tOhOiQdvmwE-O.gif\" rel=\"nofollow\"><img src=\"https://cdn-uploads.huggingface.co/production/uploads/665fc7da4058eea6b2209b67/v4lQ1bX6tOhOiQdvmwE-O.gif\" alt=\"ideaspark_data_construction\"></a></p>\n","updatedAt":"2026-07-07T02:31:07.875Z","author":{"_id":"665fc7da4058eea6b2209b67","avatarUrl":"/avatars/665db54d3877400c1d55b416637cd02f.svg","fullname":"Qihao Zhao","name":"fistyyyy","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":2,"isUserFollowing":false}},"numEdits":3,"identifiedLanguage":{"language":"en","probability":0.8811541795730591},"editors":["fistyyyy"],"editorAvatarUrls":["/avatars/665db54d3877400c1d55b416637cd02f.svg"],"reactions":[{"reaction":"🔥","users":["fistyyyy"],"count":1},{"reaction":"🤗","users":["fistyyyy"],"count":1},{"reaction":"🚀","users":["fistyyyy"],"count":1},{"reaction":"👍","users":["fistyyyy"],"count":1}],"isReport":false}}],"primaryEmailConfirmed":false,"paper":{"id":"2607.04439","authors":[{"_id":"6a4c5adf25849b193a833fd1","user":{"_id":"665fc7da4058eea6b2209b67","avatarUrl":"/avatars/665db54d3877400c1d55b416637cd02f.svg","isPro":false,"fullname":"Qihao Zhao","user":"fistyyyy","type":"user","name":"fistyyyy"},"name":"Qihao Zhao","status":"claimed_verified","statusLastChangedAt":"2026-07-07T12:12:17.157Z","hidden":false},{"_id":"6a4c5adf25849b193a833fd2","name":"Yangyu Huang","hidden":false},{"_id":"6a4c5adf25849b193a833fd3","name":"Yalun Dai","hidden":false},{"_id":"6a4c5adf25849b193a833fd4","name":"Lingao Xiao","hidden":false},{"_id":"6a4c5adf25849b193a833fd5","name":"Jianjun Gao","hidden":false},{"_id":"6a4c5adf25849b193a833fd6","name":"Xin Zhang","hidden":false},{"_id":"6a4c5adf25849b193a833fd7","name":"Wenshan Wu","hidden":false},{"_id":"6a4c5adf25849b193a833fd8","name":"Scarlett Li","hidden":false},{"_id":"6a4c5adf25849b193a833fd9","name":"Yang He","hidden":false},{"_id":"6a4c5adf25849b193a833fda","name":"Yan Lu","hidden":false},{"_id":"6a4c5adf25849b193a833fdb","name":"Yap Kim Hui","hidden":false}],"mediaUrls":["https://cdn-uploads.huggingface.co/production/uploads/665fc7da4058eea6b2209b67/MDoRDZtb3QpHIytJQBTD5.mp4","https://cdn-uploads.huggingface.co/production/uploads/665fc7da4058eea6b2209b67/95tKjcpM-MTgx3C5m4lqg.png","https://cdn-uploads.huggingface.co/production/uploads/665fc7da4058eea6b2209b67/knPM5EC_CLs-0klHvD02y.png","https://cdn-uploads.huggingface.co/production/uploads/665fc7da4058eea6b2209b67/D4hgPM0W71Cj94MbhfU6h.gif"],"publishedAt":"2026-07-05T00:00:00.000Z","submittedOnDailyAt":"2026-07-07T00:00:00.000Z","title":"ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes","submittedOnDailyBy":{"_id":"665fc7da4058eea6b2209b67","avatarUrl":"/avatars/665db54d3877400c1d55b416637cd02f.svg","isPro":false,"fullname":"Qihao Zhao","user":"fistyyyy","type":"user","name":"fistyyyy"},"summary":"Large language models have made research ideation increasingly accessible, yet effective idea development requires more than generating candidate directions. Researchers must ground a problem in current literature, identify meaningful bottlenecks, differentiate from existing solutions, and evaluate risks before committing to implementation. We present ResearchStudio-Idea as a reusable skill suite for this first mile of research ideation. The suite includes Paper-Search, a standalone multi-source literature search skill; Scoop-Check, a standalone prior-art collision checker for novelty claims; and IdeaSpark, the end-to-end skill that composes evidence grounding, pattern-guided generation, collision retrieval, audit, and idea-card rendering into one workflow. IdeaSpark is constructed from a corpus of 1,947 machine learning conference papers collected from ICLR, ICML, and NeurIPS between 2021 and 2025, including Oral papers, a separately tracked high-citation subset, and rejected submissions. Analysis of these outcomes reveals 31 recurring ideation sub-patterns, consolidated into 15 reusable ideation patterns. Each pattern is operationalized as a structured card containing research contexts, bottleneck types, differentiation strategies, supporting precedents, and common failure modes. Given a research problem and an evidence bundle, IdeaSpark evaluates evidence readiness, reconstructs the surrounding research context, identifies unresolved bottlenecks, selects relevant patterns, instantiates one candidate direction, retrieves potentially conflicting prior work, and performs outcome-informed auditing. This workflow transforms reusable ideation patterns into traceable research proposals. Blind automated-judge evaluations show that IdeaSpark consistently produces stronger research proposals than no-skill and generic-skill baselines while maintaining competitive novelty.","upvotes":38,"discussionId":"6a4c5ae025849b193a833fdc","projectPage":"https://aka.ms/ResearchStudio","githubRepo":"https://github.com/microsoft/ResearchStudio","githubRepoAddedBy":"user","ai_summary":"ResearchStudio-Idea provides a skill suite for effective research ideation that combines literature search, novelty checking, and pattern-guided generation to produce traceable research proposals.","ai_keywords":["research ideation","literature search","prior-art collision checker","pattern-guided generation","evidence grounding","idea-card rendering","reusable ideation patterns","research context","bottleneck identification","differentiation strategies","prior work retrieval","outcome-informed auditing"],"ai_summary_model":"Qwen/Qwen2.5-Coder-32B-Instruct","githubStars":150,"organization":{"_id":"5e6485f787403103f9f1055e","name":"microsoft","fullname":"Microsoft","avatar":"https://cdn-avatars.huggingface.co/v1/production/uploads/1583646260758-5e64858c87403103f9f1055d.png"}},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"665fc7da4058eea6b2209b67","avatarUrl":"/avatars/665db54d3877400c1d55b416637cd02f.svg","isPro":false,"fullname":"Qihao Zhao","user":"fistyyyy","type":"user"},{"_id":"638ecea26251c8bd7abc85e2","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/638ecea26251c8bd7abc85e2/a-i9jvRyPINmgFNqZkZAv.png","isPro":false,"fullname":"Peiyong Wang","user":"Addwater","type":"user"},{"_id":"65162ceca546159af98d6721","avatarUrl":"/avatars/8d0f58bcb83cd2e95512885c1b6e4a26.svg","isPro":false,"fullname":"LINGAO XIAO","user":"xiaolingao","type":"user"},{"_id":"6a2da6c8ca070ee12c6e396c","avatarUrl":"/avatars/0355287dcabaa67dbc7f0b10b87451f9.svg","isPro":false,"fullname":"Joe Mama","user":"JoeMama123123123","type":"user"},{"_id":"64c66647725ffa04b2fd6c94","avatarUrl":"/avatars/620f63f27fa1e90423b0dc22aa8e5809.svg","isPro":false,"fullname":"yangyu huang","user":"yangyu90","type":"user"},{"_id":"6463554dd2044cd1d7c6e0bf","avatarUrl":"/avatars/d7653623117268c545a7063fec69664b.svg","isPro":false,"fullname":"Bingzheng Wei","user":"Bingzheng","type":"user"},{"_id":"6039478ab3ecf716b1a5fd4d","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6039478ab3ecf716b1a5fd4d/_Thy4E7taiSYBLKxEKJbT.jpeg","isPro":true,"fullname":"taesiri","user":"taesiri","type":"user"},{"_id":"67694a8afafd99c6a775ac48","avatarUrl":"/avatars/1d3c7dcb60fefd5fc20b3bfa47d0cf18.svg","isPro":false,"fullname":"Yan Xia","user":"sd983527","type":"user"},{"_id":"623177b7f6662ba59910f5e7","avatarUrl":"/avatars/fd971f57d817b7131f9a806c34502a8b.svg","isPro":false,"fullname":"Qiufeng","user":"qfyin","type":"user"},{"_id":"646217dab7fb9d680861368b","avatarUrl":"/avatars/94f3c860294a5b25bd62a674797d4c42.svg","isPro":false,"fullname":"Chen","user":"v-xchen-v","type":"user"},{"_id":"65373f89912eef2590908272","avatarUrl":"/avatars/8c21b9b3a7818e5eaf7d2bdfeab242ad.svg","isPro":false,"fullname":"somebody","user":"neverstop","type":"user"},{"_id":"64b749f58c632fbca93fdd74","avatarUrl":"/avatars/613f2412c7163376a88704ef4d139e65.svg","isPro":false,"fullname":"Lin Luo","user":"Lidaluobei","type":"user"}],"acceptLanguages":["en"],"dailyPaperRank":0,"organization":{"_id":"5e6485f787403103f9f1055e","name":"microsoft","fullname":"Microsoft","avatar":"https://cdn-avatars.huggingface.co/v1/production/uploads/1583646260758-5e64858c87403103f9f1055d.png"},"markdownContentUrl":"https://huggingface.co/buckets/huggingchat/papers-content/resolve/2607/2607.04439.md","query":{}}">

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