Most cited papers
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WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation
Ding, S., Dai, X., Xing, L., Ding, S., Liu, Z., JingYi, Y., Yang, P., Zhang, Z., Wei, X., Fang, X., et al. (2026) · arXiv
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Sampling of Structure and Sequence Space of Small Protein Folds
Linsky, T., Noble, K., Tobin, A., Crow, R., Carter, L., Urbauer, J., Baker, D., & Strauch, E. (2021)
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LabQAR (Lab oratory Q uestion A nswering with R eference Ranges) Data Set
bhasuran, B., & He, Z. (2026) · figshare
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Assessment of Cd, Cr and Pb Pollution in Sediment and Water of Gheshlagh River, Iran, in September 2013
Majnoni, F., Alipour, H., Hassanpour, M., Banagar, G., & Ajorlo, M. (2015) · Unpublished
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Retrieval-Augmented Generation with Conflicting Evidence
Wang, H., Prasad, A., Stengel-Eskin, E., & Bansal, M. (2025) · arXiv
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Predictability and Information Theory. Part I: Measures of Predictability
DelSole, T. (2004) · Journal of the Atmospheric Sciences
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Replication data for: What Can Machines Learn, and What Does It Mean for Occupations and the Economy?
Brynjolfsson, E., Mitchell, T., & Rock, D. (2018) · ICPSR - Interuniversity Consortium for Political and Social Research
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New Paradigms for Organic Catalysts: The First Organocatalytic Living Polymerization
Nederberg, F., Connor, E. F., Möller, M., Glauser, T., & Hedrick, J. L. (2001) · Angewandte Chemie International Edition
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Fredholm Operators and Spectral Flow
Waterstraat, N. (2016) · arXiv
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Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
Yuan, H., Chan, S., Creagh, A. P., Tong, C., Acquah, A., Clifton, D. A., & Doherty, A. (2022) · arXiv
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A metacognitive model and therapy for generalized anxiety disorder
Wells, A. (1999) · Clinical Psychology & Psychotherapy
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Factor structure of the Barratt impulsiveness scale
Patton, J. H., Stanford, M. S., & Barratt, E. S. (1995) · Journal of Clinical Psychology
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Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks
Shi, Y., Chi, M., Barnes, T., & Price, T. (2022) · arXiv
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Linear waves on constant radius limits of cosmological black hole spacetimes
Gajic, D. (2014) · arXiv
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Intercellular signaling dynamics from a single cell atlas of the biomaterials response
Cherry, C., Maestas, D. R., Han, J., Andorko, J. I., Cahan, P., Fertig, E. J., Garmire, L. X., & Elisseeff, J. H. (2020)
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Distribution of mRNAs encoding CRF receptors in brain and pituitary of rat and mouse
Van Pett, K., Viau, V., Bittencourt, J. C., Chan, R. K. W., Li, H.-Y., Arias, C., Prins, G. S., Perrin, M., Vale, W., & Sawchenko, P. E. (2000) · The Journal of Comparative Neurology
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MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
Ye, R., Tang, S., Ge, R., Du, Y., Yin, Z., Chen, S., & Shao, J. (2025) · arXiv
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Episodic memory, semantic memory, and amnesia
Squire, L. R., & Zola, S. M. (1998) · Hippocampus
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Subliminal Learning: Language models transmit behavioral traits via hidden signals in data
Cloud, A., Le, M., Chua, J., Betley, J., Sztyber-Betley, A., Hilton, J., Marks, S., & Evans, O. (2025) · arXiv
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Agentic Retrieval-Augmented Generation for Time Series Analysis
Ravuru, C., Sakhinana, S. S., & Runkana, V. (2024) · arXiv
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2. Vouloir pour la nature. La représentation juridique des entités naturelles
Brunet, P. (2019) · GISI - UniTO
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Opening the Black Box of Deep Neural Networks via Information
Shwartz-Ziv, R., & Tishby, N. (2017) · arXiv
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Twenty Years of Debate with Stephen
Susskind, L. (2002) · arXiv
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Design for Stream Restoration
Shields, F. D., Copeland, R. R., Klingeman, P. C., Doyle, M. W., & Simon, A. (2003) · Journal of Hydraulic Engineering
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