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

Solatorio, A. V. (2024) · arXiv

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

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

How Does Knowledge Evolve in Open Knowledge Graphs?

Polleres, A., Pernisch, R., Bonifati, A., Dell'Aglio, D., Dobriy, D., Dumbrava, S., Etcheverry, L., Ferranti, N., Hose, K., Jiménez-Ruiz, E., et al. (2023) · Schloss Dagstuhl – Leibniz-Zentrum für Informatik

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

Dual Control for Approximate Bayesian Reinforcement Learning

Klenske, E. D., & Hennig, P. (2015) · 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

La formación en valores para la vida profesional: el caso de los estudiantes de la Unidad Educativa Arquidiocesana Hno. Nectario María

GODOY, J. (2023) · Universidad Católica Cecilio Acosta - Maracaibo, Venezuela

Calibrating Verbalized Probabilities for Large Language Models

Wang, C., Szarvas, G., Balazs, G., Danchenko, P., & Ernst, P. (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