Most cited papers
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AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Hendrycks, D., Mu, N., Cubuk, E. D., Zoph, B., Gilmer, J., & Lakshminarayanan, B. (2019) · arXiv
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Rectifier: Code Translation with Corrector via LLMs
Yin, X., Ni, C., Nguyen, T. N., Wang, S., & Yang, X. (2024) · arXiv
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Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning
Golubev, A., Trofimova, M., Polezhaev, S., Badertdinov, I., Nekrashevich, M., Shevtsov, A., Karasik, S., Abramov, S., Andriushchenko, A., Fisin, F., et al. (2025) · arXiv
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Dual Control for Approximate Bayesian Reinforcement Learning
Klenske, E. D., & Hennig, P. (2015) · arXiv
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Stress reactivity and attachment security
Gunnar, M. R., Brodersen, L., Nachmias, M., Buss, K., & Rigatuso, J. (1996) · Developmental Psychobiology
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Photonic analogue of Zitterbewegung in binary waveguide arrays
Longhi, S. (2009) · arXiv
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Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Yang, S., Chiang, W.-L., Zheng, L., Gonzalez, J. E., & Stoica, I. (2023) · arXiv
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Effectiveness of Acceptance and Commitment Therapy as a Treatment for Posttraumatic Stress Disorder and Moral Injury
Bluett, E. J. (2017) · Utah State University
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Non-local Skyrmions as topologically resilient quantum entangled states of light
Ornelas, P., Nape, I., Koch, R. D. M., & Forbes, A. (2022) · arXiv
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Risks and Opportunities of Open-Source Generative AI
Eiras, F., Petrov, A., Vidgen, B., Schroeder, C., Pizzati, F., Elkins, K., Mukhopadhyay, S., Bibi, A., Purewal, A., Botos, C., et al. (2024) · arXiv
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La formación en valores para la vida profesional: el caso de los estudiantes de la Unidad Educativa Arquidiocesana Hno. Nectario María
GODOY, J. (2023) · Universidad Católica Cecilio Acosta - Maracaibo, Venezuela
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ART: Automatic multi-step reasoning and tool-use for large language models
Paranjape, B., Lundberg, S., Singh, S., Hajishirzi, H., Zettlemoyer, L., & Ribeiro, M. T. (2023) · arXiv
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Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective
Cheng, Z., Hao, S., Liu, T., Zhou, F., Xie, Y., Yao, F., Bian, Y., Zhuang, Y., Dey, N., Zha, Y., et al. (2025) · arXiv
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Why do phospholipid polymers reduce protein adsorption?
Ishihara, K., Nomura, H., Mihara, T., Kurita, K., Iwasaki, Y., & Nakabayashi, N. (1998) · Journal of Biomedical Materials Research
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Calibrating Verbalized Probabilities for Large Language Models
Wang, C., Szarvas, G., Balazs, G., Danchenko, P., & Ernst, P. (2024) · arXiv
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QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs
Amouyal, S. J., Wolfson, T., Rubin, O., Yoran, O., Herzig, J., & Berant, J. (2022) · arXiv
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WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
He, H., Yao, W., Ma, K., Yu, W., Dai, Y., Zhang, H., Lan, Z., & Yu, D. (2024) · arXiv
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Evaluation of a multi-component group treatment program for juvenile delinquents
Leeman, L. W., Gibbs, J. C., & Fuller, D. (1993) · Aggressive Behavior
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Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
Ghosh, A., Lyu, H., Zhang, X., & Wang, R. (2023) · arXiv
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Trends in in-hospital admissions due to dog bites in Ireland from 2012-2021
Ryan, E., O’Farrell, A., Ó Súilleabháin, P., & McKeown, D. (2023) · Irish Medical Organization
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Unifying corroborative and contributive attributions in large language models
Worledge, T., Shen, J. H., Meister, N., Winston, C., & Guestrin, C. (2023) · arXiv
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Large Language Models and Emergence: A Complex Systems Perspective
Krakauer, D. C., Krakauer, J. W., & Mitchell, M. (2025) · arXiv
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Pitfalls in Evaluating Language Model Forecasters
Paleka, D., Goel, S., Geiping, J., & Tramèr, F. (2025) · arXiv
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A Review of Stream Restoration Techniques and a Hierarchical Strategy for Prioritizing Restoration in Pacific Northwest Watersheds
Roni, P., Beechie, T. J., Bilby, R. E., Leonetti, F. E., Pollock, M. M., & Pess, G. R. (2002) · North American Journal of Fisheries Management
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