Most cited papers
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Das ästhetische Paradox bei der Verarbeitung von fiktionalen vs. nicht-fiktionalen Texten
Wimmer, L. (2015) · Heidelberg University Library
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Get Experience from Practice: LLM Agents with Record & Replay
Feng, E., Zhou, W., Liu, Z., Chen, L., Dong, Y., Zhang, C., Zhao, Y., Du, D., Hua, Z., Xia, Y., et al. (2025) · arXiv
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HCI Guidelines for Gender Equity and Inclusivity
Scheuerman, M. K., Spiel, K., Haimson, O. L., Hamidi, F., & Branham, S. M. (2020) · Maryland Shared Open Access Repository
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Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?
Tyagi, N., Parmar, M., Kulkarni, M., RRV, A., Patel, N., Nakamura, M., Mitra, A., & Baral, C. (2024) · arXiv
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Deep ViT Features as Dense Visual Descriptors
Amir, S., Gandelsman, Y., Bagon, S., & Dekel, T. (2021) · arXiv
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When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI
Epstein, Z., Schroeder, H., & Newman, D. (2022) · arXiv
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Decision Transformer: Reinforcement Learning via Sequence Modeling
Chen, L., Lu, K., Rajeswaran, A., Lee, K., Grover, A., Laskin, M., Abbeel, P., Srinivas, A., & Mordatch, I. (2021) · arXiv
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Quark and Gluon Contents of a Lepton at High Energies
Han, T., Ma, Y., & Xie, K. (2021) · arXiv
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MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models
Yang, T., Shen, Z., Mi, Z., Zhang, Z., Zhou, J., Ji, J., Dai, J., Chen, J., Chen, B., & Yang, Y. (2026) · arXiv
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An active inference ontology for decentralized science: from situated sensemaking to the epistemic commons
Friedman, D., Applegate-Swanson, S., Balbuena, J. A., Choudhury, A., Cordes, R., El Damaty, S., Guénin—Carlut, A., Knight, V. B., Metelkin, I., Shrivastava, S., et al. (2022) · Zenodo
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Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents
Paglieri, D., Cupiał, B., Cook, J., Piterbarg, U., Tuyls, J., Grefenstette, E., Foerster, J. N., Parker-Holder, J., & Rocktäschel, T. (2025) · arXiv
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Multilingual E5 Text Embeddings: A Technical Report
Wang, L., Yang, N., Huang, X., Yang, L., Majumder, R., & Wei, F. (2024) · arXiv
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Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
You, Y., Li, J., Reddi, S., Hseu, J., Kumar, S., Bhojanapalli, S., Song, X., Demmel, J., Keutzer, K., & Hsieh, C.-J. (2019) · arXiv
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Acetylation-mediated phase control of the nucleolus regulates cellular acetyl-CoA responses
Houston, R., Sekine, S., Calderon, M. J., Seifuddin, F., Wang, G., Kawagishi, H., Malide, D. A., Li, Y., Gucek, M., Pirooznia, M., et al. (2020)
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TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Taga, E. O., Ildiz, M. E., & Oymak, S. (2025) · arXiv
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How do Language Models Bind Entities in Context?
Feng, J., & Steinhardt, J. (2023) · arXiv
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The Interpretation of Quantum Mechanics: Many Worlds or Many Words?
Tegmark, M. (1998) · Fortschritte der Physik
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Nine Best Practices for Research Software Registries and Repositories: A Concise Guide
Registries, T. F. O. B. P. F. S., :, Monteil, A., Gonzalez-Beltran, A., Ioannidis, A., Allen, A., Lee, A., Bandrowski, A., Wilson, B. E., Mecum, B., et al. (2020) · arXiv
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bf16 Rounding Silently Discards Most RL Policy Updates: A Hidden Training-Inference Mismatch and an Unbiased One-Line Fix
Gao, A., & Gao, W. (2026) · arXiv
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Convergent and divergent validity of the Beck Anxiety Inventory for patients with panic disorder and agoraphobia
de Beurs, E., Wilson, K. A., Chambless, D. L., Goldstein, A. J., & Feske, U. (1997) · Depression and Anxiety
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Do Robotic World Models Really Follow Actions? Diagnosing and Aligning Action-Conditioned Generation for Policy Learning
Chen, S., Liu, J., Wu, J., Guo, Y., Wang, T., Li, Q., Qian, S., Co, P., Chen, H., Cao, J., et al. (2026) · arXiv
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Foundation Models and Fair Use
Henderson, P., Li, X., Jurafsky, D., Hashimoto, T., Lemley, M. A., & Liang, P. (2023) · arXiv
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Microfinance Misses Its Mark
Karnani, A. (2007) · Stanford Social Innovation Review
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Advanced Data Processing of THz-Time Domain Spectroscopy Data with Sinusoidally Moving Delay Lines
Vogel, T., & Saraceno, C. J. (2024) · arXiv
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