Most cited papers
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CiteBench: A benchmark for Scientific Citation Text Generation
Funkquist, M., Kuznetsov, I., Hou, Y., & Gurevych, I. (2022) · arXiv
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On the Planning Abilities of Large Language Models - A Critical Investigation
Valmeekam, K., Marquez, M., Sreedharan, S., & Kambhampati, S. (2023) · arXiv
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BiBERT: Accurate Fully Binarized BERT
Qin, H., Ding, Y., Zhang, M., Yan, Q., Liu, A., Dang, Q., Liu, Z., & Liu, X. (2022) · arXiv
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The Effects of Fraternity/Sorority Membership on College Experiences and Outcomes: A Portrait of Complexity
Asel, A. M., Seifert, T. A., & Pascarella, E. T. (2009) · Oracle: The Research Journal of the Association of Fraternity/Sorority Advisors
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Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations
Csordás, R., Potts, C., Manning, C. D., & Geiger, A. (2024) · arXiv
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System 2 Attention (is something you might need too)
Weston, J., & Sukhbaatar, S. (2023) · arXiv
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PromptArmor: Simple yet Effective Prompt Injection Defenses
Shi, T., Zhu, K., Wang, Z., Jia, Y., Cai, W., Liang, W., Wang, H., Alzahrani, H., Lu, J., Kawaguchi, K., et al. (2025) · arXiv
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Neuroeconomics of Suicide
Takahashi, T. (2011) · arXiv
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Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
Wang, R., Lehman, J., Clune, J., & Stanley, K. O. (2019) · arXiv
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Occurrence Download
User, G. O. (2025) · The Global Biodiversity Information Facility
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Benchmarking the Discovery Engine
Foxabbott, J., Tagade, A., Cusick, A., McCorkell, R., McKee-Reid, L., Patel, J., Rumbelow, J., Rumbelow, J., & Shams, Z. (2025) · arXiv
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The Rational Agent Benchmark for Data Visualization
Wu, Y., Guo, Z., Mamakos, M., Hartline, J., & Hullman, J. (2023) · arXiv
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Benign Overfitting in Linear Regression
Bartlett, P. L., Long, P. M., Lugosi, G., & Tsigler, A. (2019) · arXiv
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Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
Xu, F., Lin, Q., Han, J., Zhao, T., Liu, J., & Cambria, E. (2023) · arXiv
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Shaping the Future of Social Media with Middleware
Hogg, L., DiResta, R., Fukuyama, F., Reisman, R., Keller, D., Ovadya, A., Thorburn, L., Stray, J., & Mathur, S. (2024) · arXiv
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Semantic Parsing of Interpage Relations
Demirtaş, M. A., Oral, B., Akpınar, M. Y., & Deniz, O. (2022) · arXiv
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Is INT8 Portable? A Cross-Platform Measurement Study of Quantized Inference on Embedded and Automotive Accelerators
Shin, Y. (2026) · arXiv
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gpt-oss-120b & gpt-oss-20b Model Card
OpenAI, :, Agarwal, S., Ahmad, L., Ai, J., Altman, S., Applebaum, A., Arbus, E., Arora, R. K., Bai, Y., et al. (2025) · arXiv
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GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning
Solatorio, A. V. (2024) · arXiv
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Accelerating Reinforcement Learning through GPU Atari Emulation
Dalton, S., Frosio, I., & Garland, M. (2019) · arXiv
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Gyratons on direct-product spacetimes
Kadlecova, H., Zelnikov, A., Krtous, P., & Podolsky, J. (2009) · arXiv
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Thermal derivation of the Coleman-De Luccia tunneling prescription
Brown, A. R., & Weinberg, E. J. (2007) · arXiv
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Diffusion Models for Implicit Image Segmentation Ensembles
Wolleb, J., Sandkühler, R., Bieder, F., Valmaggia, P., & Cattin, P. C. (2021) · arXiv
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Correct Code, Broken Contributions? SWE-CC: Benchmarking Repository Policy Compliance for Coding Agents
Truong, H. D., Goh, R., Le-Cong, T., & Huo, Y. (2026) · arXiv
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