Most cited papers
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Unlearnable examples for diffusion models: protect data from unauthorized exploitation
Zhao, Z., Duan, J., Hu, X., Xu, K., Wang, C., Zhang, R., Du, Z., Guo, Q., & Chen, Y. (2023) · arXiv
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Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem
Wei, Q., Holt, S., Yang, J., Wulfmeier, M., & van der Schaar, M. (2025) · arXiv
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Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge
Bhakthavatsalam, S., Khashabi, D., Khot, T., Mishra, B. D., Richardson, K., Sabharwal, A., Schoenick, C., Tafjord, O., & Clark, P. (2021) · arXiv
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Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models
Patel, N., Kulkarni, M., Parmar, M., Budhiraja, A., Nakamura, M., Varshney, N., & Baral, C. (2024) · arXiv
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Sentiment Analysis in the Era of Large Language Models: A Reality Check
Zhang, W., Deng, Y., Liu, B., Pan, S. J., & Bing, L. (2023) · arXiv
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Should ChatGPT and bard share revenue with their data providers? A new business model for the AI era
Zhang, D. (2023) · arXiv
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A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents
Newman, B., Soldaini, L., Fok, R., Cohan, A., & Lo, K. (2023) · arXiv
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ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning
Lopez-Miguel, I. D., Happe, A., Cito, J., Bartocci, E., Könighofer, B., & Tappler, M. (2026) · arXiv
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AgenticOCR: Parsing Only What You Need for Efficient Retrieval-Augmented Generation
Wang, Z., Ma, D., Zhong, H., Li, J., Zhang, W., Wang, B., & He, C. (2026) · arXiv
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H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark
LeGris, S., Vong, W. K., Lake, B. M., & Gureckis, T. M. (2024) · arXiv
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SkillOps: Managing LLM Agent Skill Libraries as Self-Maintaining Software Ecosystems
Song, X., Pu, H., & Zhao, L. (2026) · arXiv
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Computational Copyright: Towards A Royalty Model for Music Generative AI
Deng, J., Jiang, X., Zhang, S., Zhang, S., Lakkaraju, H., Gao, R., Donahue, C., & Ma, J. W. (2023) · arXiv
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SinGAN: learning a generative model from a single natural image
Shaham, T. R., Dekel, T., & Michaeli, T. (2019) · arXiv
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Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Hubara, I., Courbariaux, M., Soudry, D., El-Yaniv, R., & Bengio, Y. (2016) · arXiv
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Evaluating Language Models for Mathematics through Interactions
Collins, K. M., Jiang, A. Q., Frieder, S., Wong, L., Zilka, M., Bhatt, U., Lukasiewicz, T., Wu, Y., Tenenbaum, J. B., Hart, W., et al. (2023) · arXiv
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A severity index for epidemiological surveys of female urinary incontinence: Comparison with 48-hour pad-weighing tests
Sandvik, H., Seim, A., Vanvik, A., & Hunskaar, S. (2000) · Neurourology and Urodynamics
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Statistical Analysis of Longitudinal and Multivariate Discrete Data
Mav, D. (2005) · Old Dominion University Libraries
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WorkflowArena: Benchmarking Executable Workflow Orchestration in LLM-Based Multi-Agent Systems
Jiang, Z., Niu, F., Peng, B., Qian, H., Li, W., Hong, D., Gao, M., Chi, Y., Zheng, Y., Yang, K., et al. (2026) · arXiv
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Improving biosensor analysis
Myszka, D. G. (1999) · Journal of Molecular Recognition
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Polylactic Acid Technology
Drumright, R. E., Gruber, P. R., & Henton, D. E. (2000) · Advanced Materials
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An Exact Apéry Limit for the AESZ 182 Calabi–Yau Recurrence
Shvets, A. (2026) · Zenodo
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Oligodendrocytes as glucocorticoids target cells: functional analysis of the glycerol phosphate dehydrogenase gene
Cheng, J. D., & de Vellis, J. (2000) · Journal of Neuroscience Research
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Air-Stable Titanium Alkoxide Based Metal−Organic Framework as an Initiator for Ring-Opening Polymerization of Cyclic Esters
Chuck, C. J., Davidson, M. G., Jones, M. D., Kociok-Köhn, G., Lunn, M. D., & Wu, S. (2006) · Inorganic Chemistry
- Verified
Music performance anxiety in choral singers
Stothert, W. B. N., & Moll, R. (2012) · Vancouver Island University
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