Most cited papers
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Quantifying Generalization in Reinforcement Learning
Cobbe, K., Klimov, O., Hesse, C., Kim, T., & Schulman, J. (2018) · arXiv
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Monetizing Generative AI: YouTubers' Collective Knowledge on Earning from Generative AI Content
Niu, S., Lyu, Y., Zhang, H., Li, N., Kim, B., & Cai, J. (2026) · arXiv
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The Outlook for Financial Literacy
Lusardi, A., & Mitchell, O. S. (2010)
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Gradient Routing: Masking Gradients to Localize Computation in Neural Networks
Cloud, A., Goldman-Wetzler, J., Wybitul, E., Miller, J., & Turner, A. M. (2024) · arXiv
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Radiology Report Expert Evaluation (ReXVal) Dataset
Yu, F., Endo, M., Krishnan, R., Pan, I., Tsai, A., Reis, E. P., Kaiser Ururahy Nunes Fonseca, E., Lee, H., Shakeri, Z., Ng, A., et al. (2023) · PhysioNet
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External Data Extraction Attacks against Retrieval-Augmented Large Language Models
He, Y., Chen, Y., Li, Y., Shao, S., Qi, L., Li, B., Tao, D., & Qin, Z. (2025) · arXiv
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Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis
Negi, G., Waskow, M., McCrae, J., Zayed, O., & Buitelaar, P. (2026) · arXiv
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Nonnegative Decomposition of Multivariate Information
Williams, P. L., & Beer, R. D. (2010) · arXiv
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Fisher-Informational Time: A Causal-Geometric Framework for Emergent Clock Time Physical Distinguishability
Sumaya-Martinez, J. (2026) · arXiv
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The prevalence of psychological distress by cancer site
Zabora, J., BrintzenhofeSzoc, K., Curbow, B., Hooker, C., & Piantadosi, S. (2001) · Psycho-Oncology
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The Concept of Formative Assessment
Boston, C. (2002) · University of Massachusetts Amherst
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TestExplora: Benchmarking LLMs for Proactive Bug Discovery via Repository-Level Test Generation
Liu, S., Luo, J., Zhang, X., Liu, A., Liu, H., Wu, J., Huang, Z., Huang, Y., Kang, Y., & Li, S. (2026) · arXiv
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Distributed Weight Consolidation: A Brain Segmentation Case Study
McClure, P., Zheng, C. Y., Kaczmarzyk, J. R., Lee, J. A., Ghosh, S. S., Nielson, D., Bandettini, P., & Pereira, F. (2018) · arXiv
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Patterns Of Sports Supplement Use Among Iranian Female Athletes
Golshanraz, A., Hakemi, L., Pourkazemi, L., Dadgostar, E., Moradzandi, F., Tabatabaee, R., Moradi, F., Hosseinihajiagha, K., Jazayeri, N., Abedifar, H., et al. (2012) · Zenodo
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Type-Constrained Code Generation with Language Models
Mündler, N., He, J., Wang, H., Sen, K., Song, D., & Vechev, M. (2025) · arXiv
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Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
Maheswaranathan, N., Williams, A., Golub, M. D., Ganguli, S., & Sussillo, D. (2019) · arXiv
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Scaling up test-time compute with latent reasoning: A recurrent depth approach
Geiping, J., McLeish, S., Jain, N., Kirchenbauer, J., Singh, S., Bartoldson, B. R., Kailkhura, B., Bhatele, A., & Goldstein, T. (2025) · arXiv
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Solving Label Variation in Scientific Information Extraction via Multi-Task Learning
Pham, D., Ho, X., Ha, Q.-T., & Aizawa, A. (2023) · arXiv
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AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions
Liu, X., Gu, S., & Song, D. (2026) · arXiv
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Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
Jang, J., Kim, S., Lin, B. Y., Wang, Y., Hessel, J., Zettlemoyer, L., Hajishirzi, H., Choi, Y., & Ammanabrolu, P. (2023) · arXiv
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Using qualitative methods in intervention studies
Sandelowski, M. (1996) · Research in Nursing & Health
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How Far Must a Test Explore? Certifying Composable Read-Write Interfaces from Their Own Random Edits
Guo, J., Ren, X., Yang, J., Sun, Y., & Yang, H. (2026) · arXiv
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Ehlers-Danlos syndromes: Revised nosology, Villefranche, 1997
Beighton, P., Paepe, A. D., Steinmann, B., Tsipouras, P., & Wenstrup, R. J. (1998) · American Journal of Medical Genetics
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Metadata for all DOIs in Crossref: JSON MongoDB exports of all works from the Crossref API
Himmelstein, D., Wheeler, K., & Greene, C. (2017) · figshare
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