🔗 Who cites «The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas»

13 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas»

1. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
2. AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations
3. AlphaResearch: Accelerating New Algorithm Discovery with Language ModelsarXiv:2511.08522Zhaojian Yu, Kaiyue Feng, Yilun Zhao, et al.2025 · 3 citations
4. SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones?arXiv:2605.30329Sy-Tuyen Ho, Minghui Liu, Huy Nghiem, et al.2026 · 2 citations
5. FARS: A Fully Automated Research System Deployed at ScalearXiv:2606.31651Qiong Tang, Tianxiang Sun, Xiangkun Hu, et al.2026 · 1 citation
6. Teaching Language Models to Forecast Research Success Through Comparative Idea EvaluationFindings of the Association for Computational LinguisticsSrujan P Mule, Aniketh Garikaparthi, Manasi Patwardhan2026

7 more papers of our library cite it; they have no page here yet.

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