Most cited papers
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SynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation
Scarinci, A., Negri, V., Impata, B., Khan, S., Martinez, V., & Federico, M. (2026) · arXiv
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Rapid screening for psychologic distress in men with prostate carcinoma
Roth, A. J., Kornblith, A. B., Batel-Copel, L., Peabody, E., Scher, H. I., & Holland, J. C. (1998) · Cancer
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Healthy aging in neighborhoods of diversity across the life span (HANDLS): overcoming barriers to implementing a longitudinal, epidemiologic, urban study of health, race, and socioeconomic status.
Evans, M. K., Lepkowski, J. M., Powe, N. R., LaVeist, T., Kuczmarski, M. F., & Zonderman, A. B. (2010) · Digital Repository at the University of Maryland
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TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs
Sharma, A., Saxena, A., Gupta, C., Kazemi, S. M., Talukdar, P., & Chakrabarti, S. (2022) · arXiv
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Principles to Practices for Responsible AI: Closing the Gap
Schiff, D., Rakova, B., Ayesh, A., Fanti, A., & Lennon, M. (2020) · arXiv
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Mitigating Bus Bunching with Reinforcement Learning Enhanced by Semantic Stop Embedding
Dong, X., & Gayah, V. V. (2026) · arXiv
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Current health behaviors and readiness to pursue life-style changes among men and women diagnosed with early stage prostate and breast carcinomas
Demark-Wahnefried, W., Peterson, B., McBride, C., Lipkus, I., & Clipp, E. (2000) · Cancer
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CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning
Wu, D., Wang, J., Meng, Y., Zhang, Y., Sun, L., & Wang, Z. (2024) · arXiv
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SwarmHawk: Self-Sustaining Multi-Agent System for Landing on a Moving Platform through an Agent Supervision
Gupta, A., Dorzhieva, E., Baza, A., Alper, M., Fedoseev, A., & Tsetserukou, D. (2022) · arXiv
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Dense Associative Memory for Pattern Recognition
Krotov, D., & Hopfield, J. J. (2016) · arXiv
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Temperament, social competence, and adrenocortical activity in preschoolers
Gunnar, M. R., Tout, K., de Haan, M., Pierce, S., & Stanbury, K. (1997) · Developmental Psychobiology
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A change in foraging success and cooperative hunting by a breeding pair of Peregrine Falcons and their fledglings
Dekker, D., & Taylor, R. (2005) · Raptor Research Foundation
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A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery
Osco, L. P., de Arruda, M. D. S., Gonçalves, D. N., Dias, A., Batistoti, J., de Souza, M., Gomes, F. D. G., Ramos, A. P. M., Jorge, L. A. D. C., Liesenberg, V., et al. (2020) · arXiv
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Auditing Black-box Models for Indirect Influence
Adler, P., Falk, C., Friedler, S. A., Rybeck, G., Scheidegger, C., Smith, B., & Venkatasubramanian, S. (2016) · arXiv
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MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Fu, C., Chen, P., Shen, Y., Qin, Y., Zhang, M., Lin, X., Yang, J., Zheng, X., Li, K., Sun, X., et al. (2023) · arXiv
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Dynamic Provenance for SPARQL Update
Halpin, H., & Cheney, J. (2014) · arXiv
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EvoTrustRAG: Evolution-Aware Conflict Attribution and Evidence Handling for Reliable Retrieval-Augmented Generation
Nie, X., Li, H., Wu, S., Fan, W., Song, Q., & Jiang, W. (2026) · arXiv
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Polyphosphazene membranes. IV. Polymer morphology and proton conductivity in sulfonated poly[bis(3-methylphenoxy)phosphazene] films
Tang, H., & Pintauro, P. N. (2001) · Journal of Applied Polymer Science
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Learning Agile Quadrotor Flight in the Real World
Ren, Y., Zhu, Z., Xing, J., & Scaramuzza, D. (2026) · arXiv
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Uncertainty Management in the Construction of Knowledge Graphs: A Survey
Jarnac, L., Chabot, Y., & Couceiro, M. (2025) · Schloss Dagstuhl – Leibniz-Zentrum für Informatik
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Impact of COVID 19 on Doctoral and Early Career Researchers
Byrom, N., & Metcalfe, J. (2021) · figshare
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Is Stack Overflow Obsolete? An Empirical Study of the Characteristics of ChatGPT Answers to Stack Overflow Questions
Kabir, S., Udo-Imeh, D. N., Kou, B., & Zhang, T. (2023) · arXiv
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Slow vasomotor fluctuation in fMRI of anesthetized child brain
Kiviniemi, V., Jauhiainen, J., Tervonen, O., P��kk�, E., Oikarinen, J., Vainionp��, V., Rantala, H., & Biswal, B. (2000) · Magnetic Resonance in Medicine
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The Surveillance AI Pipeline
Kalluri, P. R., Agnew, W., Cheng, M., Owens, K., Soldaini, L., & Birhane, A. (2023) · arXiv
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