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An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Ouyang, S., Zhang, J. M., Harman, M., & Wang, M. (2023) · arXiv

DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs

Cattan, A., Jacovi, A., Ram, O., Herzig, J., Aharoni, R., Goldshtein, S., Ofek, E., Szpektor, I., & Caciularu, A. (2025) · arXiv

Filtered canopy top height estimates from GEDI LIDAR waveforms for 2019 and 2020

Lang, N., Kalischek, N., Armston, J., Schindler, K., Dubayah, R., & Wegner, J. D. (2023) · Zenodo

El reto del espacio andino

Dollfus, O. (1981) · The University of Texas at Austin

On the Planning Abilities of Large Language Models - A Critical Investigation

Valmeekam, K., Marquez, M., Sreedharan, S., & Kambhampati, S. (2023) · arXiv

Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations

Csordás, R., Potts, C., Manning, C. D., & Geiger, A. (2024) · arXiv

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

Occurrence Download

User, G. O. (2025) · The Global Biodiversity Information Facility

The Rational Agent Benchmark for Data Visualization

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

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

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

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

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