Most cited papers
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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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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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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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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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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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Twenty Years of Debate with Stephen
Susskind, L. (2002) · arXiv
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Islands in between : prehistory of the northeastern Indonesian archipelago
Tanudirjo, D. A. (2001) · The Australian National University
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READU: Inconsistency-Driven Just-in-Time Detection and Repair of README Bugs
Baek, D., Krampf, K., & Pradel, M. (2026) · arXiv
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Editable Neural Networks
Sinitsin, A., Plokhotnyuk, V., Pyrkin, D., Popov, S., & Babenko, A. (2020) · arXiv
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An Empirical Study of the Non-determinism of ChatGPT in Code Generation
Ouyang, S., Zhang, J. M., Harman, M., & Wang, M. (2023) · arXiv
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Held-out evidence resolves follow-up measurement decisions in biological screens
Bi, J., Pinilla, S., & Zhu, C. (2026) · arXiv
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DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs
Cattan, A., Jacovi, A., Ram, O., Herzig, J., Aharoni, R., Goldshtein, S., Ofek, E., Szpektor, I., & Caciularu, A. (2025) · arXiv
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The Generalized Second Law implies a Quantum Singularity Theorem
Wall, A. C. (2010) · arXiv
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Filtered canopy top height estimates from GEDI LIDAR waveforms for 2019 and 2020
Lang, N., Kalischek, N., Armston, J., Schindler, K., Dubayah, R., & Wegner, J. D. (2023) · Zenodo
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El reto del espacio andino
Dollfus, O. (1981) · The University of Texas at Austin
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On the Planning Abilities of Large Language Models - A Critical Investigation
Valmeekam, K., Marquez, M., Sreedharan, S., & Kambhampati, S. (2023) · arXiv
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BiBERT: Accurate Fully Binarized BERT
Qin, H., Ding, Y., Zhang, M., Yan, Q., Liu, A., Dang, Q., Liu, Z., & Liu, X. (2022) · arXiv
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Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations
Csordás, R., Potts, C., Manning, C. D., & Geiger, A. (2024) · arXiv
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PromptArmor: Simple yet Effective Prompt Injection Defenses
Shi, T., Zhu, K., Wang, Z., Jia, Y., Cai, W., Liang, W., Wang, H., Alzahrani, H., Lu, J., Kawaguchi, K., et al. (2025) · arXiv
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Neuroeconomics of Suicide
Takahashi, T. (2011) · arXiv
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Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
Wang, R., Lehman, J., Clune, J., & Stanley, K. O. (2019) · arXiv
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Occurrence Download
User, G. O. (2025) · The Global Biodiversity Information Facility
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