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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

The Rational Agent Benchmark for Data Visualization

Wu, Y., Guo, Z., Mamakos, M., Hartline, J., & Hullman, J. (2023) · arXiv

Benign Overfitting in Linear Regression

Bartlett, P. L., Long, P. M., Lugosi, G., & Tsigler, A. (2019) · arXiv

Microwave sintering of lunar soil: properties, theory, and practice

Taylor, L. A., & Meek, T. T. (2005) · Journal of Aerospace Engineering

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

Modeling customer relationships as Markov chains

Pfeifer, P. E., & Carraway, R. L. (2000) · Journal of Interactive Marketing

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

Semantic Parsing of Interpage Relations

Demirtaş, M. A., Oral, B., Akpınar, M. Y., & Deniz, O. (2022) · arXiv

Disaggregating Parental Depression and Family Stress in Assessing Families of Children With Developmental Disabilities: A Multisample Analysis

Glidden, L. M., & Floyd, F. J. (1997) · American Journal on Mental Retardation

Is INT8 Portable? A Cross-Platform Measurement Study of Quantized Inference on Embedded and Automotive Accelerators

Shin, Y. (2026) · arXiv

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

GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning

Solatorio, A. V. (2024) · arXiv

Organization of the projections from the pericruciate cortex to the pontomedullary brainstem of the cat: A study using the anterograde tracerPhaseolus vulgaris-leucoagglutinin

Matsuyama, K., & Drew, T. (1997) · The Journal of Comparative Neurology

Accelerating Reinforcement Learning through GPU Atari Emulation

Dalton, S., Frosio, I., & Garland, M. (2019) · arXiv

Gyratons on direct-product spacetimes

Kadlecova, H., Zelnikov, A., Krtous, P., & Podolsky, J. (2009) · arXiv

Thermal derivation of the Coleman-De Luccia tunneling prescription

Brown, A. R., & Weinberg, E. J. (2007) · arXiv

Agent Laboratory: Using LLM Agents as Research Assistants

Schmidgall, S., Su, Y., Wang, Z., Sun, X., Wu, J., Yu, X., Liu, J., Moor, M., Liu, Z., & Barsoum, E. (2025) · arXiv

Diffusion Models for Implicit Image Segmentation Ensembles

Wolleb, J., Sandkühler, R., Bieder, F., Valmaggia, P., & Cattin, P. C. (2021) · arXiv

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

Integrated Systems Framework for Commissioning Readiness Assessment in Offshore Processing Facilities Projects

Omoegun, G. O., & Oduro, M. (2024) · Zenodo

Tensor Fusion Network for Multimodal Sentiment Analysis

Zadeh, A., Chen, M., Poria, S., Cambria, E., & Morency, L.-P. (2017) · arXiv

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

Saparov, A., Pang, R. Y., Padmakumar, V., Joshi, N., Kazemi, S. M., Kim, N., & He, H. (2023) · arXiv

Business (mis)Use Cases of Generative AI

Houde, S., Liao, V., Martino, J., Muller, M., Piorkowski, D., Richards, J., Weisz, J., & Zhang, Y. (2020) · arXiv