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Characteristics of the interannual and decadal variability in a general circulation model of the tropical Atlantic Ocean

Huang, B., & Shukla, J. (1997) · Journal of Physical Oceanography

Fourier spectrum discrepancies in deep network generated images

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Investigating the Effectiveness of ChatGPT in Mathematical Reasoning and Problem Solving: Evidence from the Vietnamese National High School Graduation Examination

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ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

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A systems framework for remedying dysfunction in U.S. democracy

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Muown: Row-Norm Control for Muon Optimization

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Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI

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Ultrahigh-Q AlGaAs-on-insulator microresonators for integrated nonlinear photonics

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HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks

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Event-Time Confounding Under Bursty Human Dynamics

Iannelli, M., & Ai, A. (2026) · arXiv

ATime-Consistent Benchmark for Repository-Level Software Engineering Evaluation

Xianpeng, Sun, Sun, H., Yu, T., Ma, S., Zhang, Q., Rao, L., & Tian, C. (2026) · arXiv

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models

Shi, D., Fu, Y., Yuan, X., Yu, Z., You, H., Li, S., Dong, X., Kautz, J., Molchanov, P., Yingyan, et al. (2025) · arXiv

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Wang, Y., Yang, Q., Zeng, Z., Ren, L., Liu, L., Peng, B., Cheng, H., He, X., Wang, K., Gao, J., et al. (2025) · arXiv

Hard Art of the Universe Creation

Linde, A. (1991) · arXiv

Sampling in Software Engineering Research: A Critical Review and Guidelines

Baltes, S., & Ralph, P. (2020) · arXiv

Heterogeneity of multiple sclerosis lesions: implications for the pathogenesis of demyelination

Lucchinetti, C., Br�ck, W., Parisi, J., Scheithauer, B., Rodriguez, M., & Lassmann, H. (2000) · Annals of Neurology

MS-YOLO: Infrared Object Detection for Edge Deployment via MobileNetV4 and SlideLoss

Zhang, J., White, T. S., Zhang, H., Hu, W., Wunsch, D. C., & Liu, J. (2025) · arXiv

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

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

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

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

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

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

An Exact Apéry Limit for the AESZ 182 Calabi–Yau Recurrence

Shvets, A. (2026) · Zenodo