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Based on 1628 tracked papers in this area. 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Papers frequently mention this as a limitation or unsolved problem.", "evidence_paper_ids": [ "openalex:W4365150003", "openalex:W4396956648", "openalex:W4220941910", "openalex:W4399775696", "openalex:W4364321988", "openalex:W4367016885", "openalex:W4367666062", "openalex:W4406000669", "openalex:W4407451021", "openalex:W3178474055" ], "gap_type": "pattern", "confidence": 0.9, "starter_idea": "Fine-tune an open-source LLM on a domain-specific dataset and evaluate factuality.", "frequency": 1550, "suggested_projects": [ "Fine-tune an open-source LLM on a domain-specific dataset and evaluate factuality.", "Build a RAG pipeline and compare retrieval strategies on a small test set.", "Measure LLM calibration: does the model know what it doesn't know?" ], "id": "ff1cfecb-60bf-49dc-a14d-65320066f1dd", "source_paper_ids": [ "openalex:W4365150003", "openalex:W4396956648", "openalex:W4220941910", "openalex:W4399775696", "openalex:W4364321988", "openalex:W4367016885", "openalex:W4367666062", "openalex:W4406000669", "openalex:W4407451021", "openalex:W3178474055" ] }, { "gap_id": "9a356199-e499-4c99-be55-3157108cb4b3", "topic": "Computer Vision", "title": "Starter idea: Train a classifier on a small custom dataset using transfer learning.", "description": "Beginner-friendly research direction in Computer Vision. Based on 1497 tracked papers in this area. Idea: Train a classifier on a small custom dataset using transfer learning.", "evidence_paper_ids": [ "arxiv:2606.19874", "arxiv:2605.08144", "arxiv:2602.01115", "arxiv:2605.23411", "arxiv:2605.21273" ], "gap_type": "starter", "confidence": 0.7, "starter_idea": "Train a classifier on a small custom dataset using transfer learning.", "frequency": 1497, "suggested_projects": [ "Train a classifier on a small custom dataset using transfer learning.", "Implement data augmentation techniques and measure their impact.", "Reproduce a CIFAR-10 baseline with a modern architecture." ], "id": "9a356199-e499-4c99-be55-3157108cb4b3", "source_paper_ids": [ "arxiv:2606.19874", "arxiv:2605.08144", "arxiv:2602.01115", "arxiv:2605.23411", "arxiv:2605.21273" ] }, { "gap_id": "2fe48c38-7895-43cf-a44e-45b30821f343", "topic": "Computer Vision", "title": "Starter idea: Implement data augmentation techniques and measure their impact.", "description": "Beginner-friendly research direction in Computer Vision. Based on 1497 tracked papers in this area. Idea: Implement data augmentation techniques and measure their impact.", "evidence_paper_ids": [ "arxiv:2606.19874", "arxiv:2605.08144", "arxiv:2602.01115", "arxiv:2605.23411", "arxiv:2605.21273" ], "gap_type": "starter", "confidence": 0.7, "starter_idea": "Implement data augmentation techniques and measure their impact.", "frequency": 1497, "suggested_projects": [ "Train a classifier on a small custom dataset using transfer learning.", "Implement data augmentation techniques and measure their impact.", "Reproduce a CIFAR-10 baseline with a modern architecture." ], "id": "2fe48c38-7895-43cf-a44e-45b30821f343", "source_paper_ids": [ "arxiv:2606.19874", "arxiv:2605.08144", "arxiv:2602.01115", "arxiv:2605.23411", "arxiv:2605.21273" ] }, { "gap_id": "c9f4782c-8f15-4e1a-a123-9e74051b40d3", "topic": "Info Extraction", "title": "Hallucination / factuality", "description": "Pattern detected across 973 papers: 'Hallucination / factuality' is a recurring challenge in Info Extraction research. 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Based on 818 tracked papers in this area. Idea: Build a RAG pipeline and compare different chunking and retrieval strategies.", "evidence_paper_ids": [ "openalex:W7135176806", "openalex:W4317898419", "openreview:60TXv9Xif5", "openreview:9lPq01iKOV", "openalex:W4408555470" ], "gap_type": "starter", "confidence": 0.7, "starter_idea": "Build a RAG pipeline and compare different chunking and retrieval strategies.", "frequency": 818, "suggested_projects": [ "Build a RAG pipeline and compare different chunking and retrieval strategies.", "Evaluate how knowledge freshness affects LLM answer quality in a RAG setup." ], "id": "53c1a4ad-c4f6-46b3-822a-499eaac66264", "source_paper_ids": [ "openalex:W7135176806", "openalex:W4317898419", "openreview:60TXv9Xif5", "openreview:9lPq01iKOV", "openalex:W4408555470" ] }, { "gap_id": "a048ddd5-c104-40e5-a6c5-73d9c6643a03", "topic": "RAG", "title": "Starter idea: Evaluate how knowledge freshness affects LLM answer quality in a RAG setup.", "description": "Beginner-friendly research direction in RAG. Based on 818 tracked papers in this area. Idea: Evaluate how knowledge freshness affects LLM answer quality in a RAG setup.", "evidence_paper_ids": [ "openalex:W7135176806", "openalex:W4317898419", "openreview:60TXv9Xif5", "openreview:9lPq01iKOV", "openalex:W4408555470" ], "gap_type": "starter", "confidence": 0.7, "starter_idea": "Evaluate how knowledge freshness affects LLM answer quality in a RAG setup.", "frequency": 818, "suggested_projects": [ "Build a RAG pipeline and compare different chunking and retrieval strategies.", "Evaluate how knowledge freshness affects LLM answer quality in a RAG setup." ], "id": "a048ddd5-c104-40e5-a6c5-73d9c6643a03", "source_paper_ids": [ "openalex:W7135176806", "openalex:W4317898419", "openreview:60TXv9Xif5", "openreview:9lPq01iKOV", "openalex:W4408555470" ] }, { "gap_id": "cf502eb3-ab6c-4cdd-82cd-3bdc1f335c07", "topic": "Info Extraction", "title": "Limited multilinguality", "description": "Pattern detected across 783 papers: 'Limited multilinguality' is a recurring challenge in Info Extraction research. 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Papers frequently mention this as a limitation or unsolved problem.", "evidence_paper_ids": [ "openalex:W4317898419", "openalex:W4399417092", "openalex:W4409613612", "openalex:W4386116342", "openalex:W4390879320", "openalex:W3190457880", "openreview:SAl337ZX5d", "acl:2025.acl-long.1136", "openreview:OU9nFEYR2M", "openreview:MBBRHDuiwM" ], "gap_type": "pattern", "confidence": 0.9, "starter_idea": "Red-team a small open-source LLM with structured adversarial prompts.", "frequency": 726, "suggested_projects": [ "Red-team a small open-source LLM with structured adversarial prompts.", "Measure refusal rates across different safety-sensitive categories." ], "id": "3987fc64-13e8-41c4-8f52-91fe1f064d41", "source_paper_ids": [ "openalex:W4317898419", "openalex:W4399417092", "openalex:W4409613612", "openalex:W4386116342", "openalex:W4390879320", "openalex:W3190457880", "openreview:SAl337ZX5d", "acl:2025.acl-long.1136", "openreview:OU9nFEYR2M", "openreview:MBBRHDuiwM" ] }, { "gap_id": "d5cdda8c-16fe-4404-8c99-35fd780a25fa", "topic": "Info Extraction", "title": "Lack of interpretability", "description": "Pattern detected across 706 papers: 'Lack of interpretability' is a recurring challenge in Info Extraction research. 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Based on 614 tracked papers in this area. Idea: Evaluate open-source code LLMs on a custom set of algorithmic problems.", "evidence_paper_ids": [ "openreview:VtmBAGCN7o", "openreview:SAl337ZX5d", "acl:2026.acl-long.1026", "openreview:0A4Uf88pog", "openreview:qumy27hMDY" ], "gap_type": "starter", "confidence": 0.7, "starter_idea": "Evaluate open-source code LLMs on a custom set of algorithmic problems.", "frequency": 614, "suggested_projects": [ "Evaluate open-source code LLMs on a custom set of algorithmic problems.", "Build a test-case generator to evaluate code correctness automatically." ], "id": "ca810bc2-daa3-4333-8a98-63db0336ddac", "source_paper_ids": [ "openreview:VtmBAGCN7o", "openreview:SAl337ZX5d", "acl:2026.acl-long.1026", "openreview:0A4Uf88pog", "openreview:qumy27hMDY" ] }, { "gap_id": "8e320b2a-7955-4654-8b2e-5f3e8e31dc3e", "topic": "Code Generation", "title": "Starter idea: Build a test-case generator to evaluate code correctness automatically.", "description": "Beginner-friendly research direction in Code Generation. 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Idea: Build a test-case generator to evaluate code correctness automatically.", "evidence_paper_ids": [ "openreview:VtmBAGCN7o", "openreview:SAl337ZX5d", "acl:2026.acl-long.1026", "openreview:0A4Uf88pog", "openreview:qumy27hMDY" ], "gap_type": "starter", "confidence": 0.7, "starter_idea": "Build a test-case generator to evaluate code correctness automatically.", "frequency": 614, "suggested_projects": [ "Evaluate open-source code LLMs on a custom set of algorithmic problems.", "Build a test-case generator to evaluate code correctness automatically." ], "id": "8e320b2a-7955-4654-8b2e-5f3e8e31dc3e", "source_paper_ids": [ "openreview:VtmBAGCN7o", "openreview:SAl337ZX5d", "acl:2026.acl-long.1026", "openreview:0A4Uf88pog", "openreview:qumy27hMDY" ] }, { "gap_id": "7e3e47bd-9bed-43f0-a4f9-a0e8ed9a5afa", "topic": "Reasoning", "title": "Fail to provide explainability", "description": "fail to provide explainability.", "evidence_paper_ids": [ "openalex:W4220770035", "openreview:cTbAevdwBE", 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