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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

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

Accelerating Reinforcement Learning through GPU Atari Emulation

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

Thermal derivation of the Coleman-De Luccia tunneling prescription

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

A Gis-Based Analysis Of The Rationale Behind Roman Roads. The Case Of The So-Called Via Xvii (Nw Iberian Peninsula)

Fonte, J., Parcero-Oubiña, C., & Costa-García, J. M. (2017) · Zenodo

Slow Archaeology: Technology, Efficiency, and Archaeological Work

Caraher, W. (2016) · The Digital Press at the University of North Dakota

An evaluation of the environmental fate of reactive dyes

Hetheridge, M. J. (2001) · University of Plymouth

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Hendrycks, D., Mu, N., Cubuk, E. D., Zoph, B., Gilmer, J., & Lakshminarayanan, B. (2019) · arXiv

Rectifier: Code Translation with Corrector via LLMs

Yin, X., Ni, C., Nguyen, T. N., Wang, S., & Yang, X. (2024) · arXiv

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

Qi, P., Zhang, Y., Zhang, Y., Bolton, J., & Manning, C. D. (2020) · arXiv

Photonic analogue of Zitterbewegung in binary waveguide arrays

Longhi, S. (2009) · arXiv

Rethinking Benchmark and Contamination for Language Models with Rephrased Samples

Yang, S., Chiang, W.-L., Zheng, L., Gonzalez, J. E., & Stoica, I. (2023) · arXiv

Risks and Opportunities of Open-Source Generative AI

Eiras, F., Petrov, A., Vidgen, B., Schroeder, C., Pizzati, F., Elkins, K., Mukhopadhyay, S., Bibi, A., Purewal, A., Botos, C., et al. (2024) · arXiv

WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models

He, H., Yao, W., Ma, K., Yu, W., Dai, Y., Zhang, H., Lan, Z., & Yu, D. (2024) · arXiv

Trends in in-hospital admissions due to dog bites in Ireland from 2012-2021

Ryan, E., O’Farrell, A., Ó Súilleabháin, P., & McKeown, D. (2023) · Irish Medical Organization

Large Language Models and Emergence: A Complex Systems Perspective

Krakauer, D. C., Krakauer, J. W., & Mitchell, M. (2025) · arXiv

Distrust in (X)AI -- Measurement Artifact or Distinct Construct?

Scharowski, N., & Perrig, S. A. C. (2023) · arXiv

An analysis of Wikipedia references across PLOS publications

ALM, P., Fenner, M., & Lin, J. (2014) · figshare

Luna: Linear Unified Nested Attention

Ma, X., Kong, X., Wang, S., Zhou, C., May, J., Ma, H., & Zettlemoyer, L. (2021) · arXiv

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models

Li, C., Wang, P., Wang, C., Zhang, L., Liu, Z., Ye, Q., Xu, Y., Huang, F., Zhang, X., & Yu, P. S. (2025) · arXiv