Most cited papers
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E3VS-Bench: A Benchmark for Viewpoint-Dependent Active Perception in 3D Gaussian Splatting Scenes
Sakamoto, K., Miyanishi, T., Azuma, D., Kurita, S., Morikuni, S., Chiba, N., Kawanabe, M., Iwasawa, Y., & Matsuo, Y. (2026) · arXiv
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Telomeric 8-Oxoguanine Drives Rapid Premature Senescence In The Absence Of Telomere Shortening
Barnes, R. P., de Rosa, M., Thosar, S. A., Detwiler, A. C., Roginskaya, V., Van Houten, B., Bruchez, M. P., Stewart-Ornstein, J., & Opresko, P. L. (2021)
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Learning to Generate Long-term Future via Hierarchical Prediction
Villegas, R., Yang, J., Zou, Y., Sohn, S., Lin, X., & Lee, H. (2017) · arXiv
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When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors
Emmons, S., Jenner, E., Elson, D. K., Saurous, R. A., Rajamanoharan, S., Chen, H., Shafkat, I., & Shah, R. (2025) · arXiv
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Search-Time Data Contamination
Han, Z., Mankikar, M., Michael, J., & Wang, Z. (2025) · arXiv
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Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks
Reimers, N., & Gurevych, I. (2017) · arXiv
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Constructing Fast Network through Deconstruction of Convolution
Jeon, Y., & Kim, J. (2018) · arXiv
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Loss Minimization Yields Multicalibration for Large Neural Networks
Błasiok, J., Gopalan, P., Hu, L., Kalai, A. T., & Nakkiran, P. (2023) · arXiv
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Whose Facts Win? LLM Source Preferences under Knowledge Conflicts
Schuster, J., Gautam, V., & Markert, K. (2026) · arXiv
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"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Ribeiro, M. T., Singh, S., & Guestrin, C. (2016) · arXiv
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MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents
Zhu, K., Du, H., Hong, Z., Yang, X., Guo, S., Wang, Z., Wang, Z., Qian, C., Tang, X., Ji, H., et al. (2025) · arXiv
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Technically Love: The Evolution of Human-AI Romance Discourse on Reddit
Chang, T., Huh-Yoo, J., & Razi, A. (2026) · arXiv
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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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