Most cited papers
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LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation
Fakhoury, S., Naik, A., Sakkas, G., Chakraborty, S., & Lahiri, S. K. (2024) · arXiv
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The Marginal Utility of Income
Layard, R., Mayraz, G., & Nickell, S. J. (2008)
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Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Lee, C., Cho, K., & Kang, W. (2019) · arXiv
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Risks, causes, and mitigations of widespread deployments of large language models (LLMs): a survey
Sakib, M. N., Islam, M. A., Pathak, R., & Arifin, M. M. (2024) · arXiv
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"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains
Shen, H., Cabrera, Á. A., Perer, A., & Hong, J. (2022) · arXiv
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AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Liang, J., Li, H., Li, C., Zhou, J., Jiang, S., Wang, Z., Ji, C., Zhu, Z., Liu, R., Ren, T., et al. (2025) · arXiv
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The Quest for the Right Mediator: Surveying Mechanistic Interpretability Through the Lens of Causal Mediation Analysis
Mueller, A., Brinkmann, J., Li, M., Marks, S., Pal, K., Prakash, N., Rager, C., Sankaranarayanan, A., Sharma, A. S., Sun, J., et al. (2024) · arXiv
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Competition-Level Problems are Effective LLM Evaluators
Huang, Y., Lin, Z., Liu, X., Gong, Y., Lu, S., Lei, F., Liang, Y., Shen, Y., Lin, C., Duan, N., et al. (2023) · arXiv
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GEDI L3 Gridded Land Surface Metrics, Version 1
Dubayah, R. O., Luthcke, S. B., Sabaka, T. J., Nicholas, J. B., Preaux, S., & Hofton, M. A. (2021) · ORNL Distributed Active Archive Center
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FEVER: a large-scale dataset for Fact Extraction and VERification
Thorne, J., Vlachos, A., Christodoulopoulos, C., & Mittal, A. (2018) · arXiv
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Rethinking Language Models as Symbolic Knowledge Graphs
Mruthyunjaya, V., Pezeshkpour, P., Hruschka, E., & Bhutani, N. (2023) · arXiv
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Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles
Becker, A., Russo, S., Puliti, S., Lang, N., Schindler, K., & Wegner, J. D. (2021) · arXiv
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Composing graphical models with neural networks for structured representations and fast inference
Johnson, M. J., Duvenaud, D., Wiltschko, A. B., Datta, S. R., & Adams, R. P. (2016) · arXiv
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Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised
Angelidis, S., & Lapata, M. (2018) · arXiv
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Optimalisasi Media Word Wall untuk Peningkatan Motivasi, Hasil Belajar, dan Kemampuan Berpikir Kritis dalam Pembelajaran PKn di SD
Lisandra, R., Lidia Pramudani, S., Tri Widodo, S., & Nuraeni, R. (2025) · Mutiara: Multidiciplinary Scientifict Journal
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Pattern recognition techniques for Boson Sampling validation
Agresti, I., Viggianiello, N., Flamini, F., Spagnolo, N., Crespi, A., Osellame, R., Wiebe, N., & Sciarrino, F. (2017) · arXiv
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A Survey of Performance Comparison between Virtual Machines and Containers
Desai, P. (2016) · Zenodo
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Cryo-EM reveals multiple mechanisms of ribosome inhibition by doxycycline
Stuart, W. S., Isupov, M. N., McLaren, M., Jenkins, C. H., Monier, A., Daum, B., Norville, I. H., Gold, V. A. M., & Harmer, N. J. (2025)
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Gmail Smart Compose: Real-Time Assisted Writing
Chen, M. X., Lee, B. N., Bansal, G., Cao, Y., Zhang, S., Lu, J., Tsay, J., Wang, Y., Dai, A. M., Chen, Z., et al. (2019) · arXiv
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Deepfakes and the 2020 US elections: what (did not) happen
Meneses, J. P. (2021) · arXiv
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Learning inequality during the COVID-19 pandemic
Engzell, P., Frey, A., & Verhagen, M. D. (2020) · OSF Registries
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An Efficient Medical Image Classification Method Based on a Lightweight Improved ConvNeXt-Tiny Architecture
Xia, J., Yin, Y., & Li, X. (2025) · arXiv
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Traveling in a Prehistoric Landscape: Exploring the Influences that Shaped Human Movement
Unknown, (. (2010) · Universitätsbibliothek Tübingen
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Diffusion art or digital forgery? Investigating data replication in diffusion models
Somepalli, G., Singla, V., Goldblum, M., Geiping, J., & Goldstein, T. (2022) · arXiv
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