Most cited papers
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CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?
Wei, T., Luan, J., Liu, W., Dong, S., & Wang, B. (2023) · arXiv
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Literacy as a Leisure Activity
Nippold, M. A., Duthie, J. K., & Larsen, J. (2005) · Language, Speech, and Hearing Services in Schools
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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
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Investigating the Effectiveness of ChatGPT in Mathematical Reasoning and Problem Solving: Evidence from the Vietnamese National High School Graduation Examination
Dao, X.-Q., & Le, N.-B. (2023) · arXiv
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ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario
Zhong, L., Du, Z., Zhang, X., Hu, H., & Tang, J. (2025) · arXiv
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A systems framework for remedying dysfunction in U.S. democracy
Wang, S. S. H., Cervas, J., Grofman, B., & Lipsitz, K. (2021) · arXiv
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Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI
Herrera, F. (2025) · arXiv
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Ultrahigh-Q AlGaAs-on-insulator microresonators for integrated nonlinear photonics
Xie, W., Chang, L., Shu, H., Norman, J. C., Peters, J. D., Wang, X., & Bowers, J. E. (2020) · arXiv
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HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks
Wang, Z., Zeng, J., Delalleau, O., Egert, D., Evans, E., Shin, H.-C., Soares, F., Dong, Y., & Kuchaiev, O. (2025) · arXiv
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Event-Time Confounding Under Bursty Human Dynamics
Iannelli, M., & Ai, A. (2026) · arXiv
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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
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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
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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
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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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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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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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An Exact Apéry Limit for the AESZ 182 Calabi–Yau Recurrence
Shvets, A. (2026) · Zenodo
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Seeing through randomness with topological light
Peters, C., Everts, K., Kleine, T., Ornelas, P., & Forbes, A. (2025) · arXiv
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An In-Context Learning Agent for Formal Theorem-Proving
Thakur, A., Tsoukalas, G., Wen, Y., Xin, J., & Chaudhuri, S. (2023) · arXiv
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Dataset of first appearances of the scholarly bibliographic references on English Wikipedia articles as of 1 March 2017 and as of 1 October 2021
Kikkawa, J., Takaku, M., & Yoshikane, F. (2021) · Zenodo
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M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models
Zhang, W., Aljunied, S. M., Gao, C., Chia, Y. K., & Bing, L. (2023) · arXiv
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Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution
Cao, Z., Deng, J., Yu, L., Zhou, W., Liu, Z., Ding, B., & Zhao, H. (2025) · arXiv
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Non-Hermitian Topological Theory of Finite-Lifetime Quasiparticles: Prediction of Bulk Fermi Arc Due to Exceptional Point
Kozii, V., & Fu, L. (2017) · arXiv
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World Models Dream of Success: Diagnosing and Repairing Failure Insensitivity in Robot World Models
Xu, J., Hu, X., Chen, M., Gao, P., Ye, Y., & Shi, Y. (2026) · arXiv
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