Learning under label noise through few-shot human-in-the-loop refinement by Aaqib Saeed, Dimitris Spathis, Jungwoo Oh, Edward Choi, Ali Etemad

“…Finally, it achieves better generalizability and robustness by merging the seed and fine-tuned models via weighted parameter averaging. …”
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Substitute locations of urban spaces in films shot in Spain: motivations, representations and consequences by Víctor Aertsen, Carlos Manuel Valdés, Antonio Martínez Puche

“…Through these different sections, we seek to contribute to a better understanding of the motivations, representations and geographical and economic consequences of this filmic practice. …”
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Positional embeddings and zero-shot learning using BERT for molecular-property prediction by Medard Edmund Mswahili, JunHa Hwang, Jagath C. Rajapakse, Kyuri Jo, Young-Seob Jeong

“…It also explores zero-shot learning analysis and the model’s performance on various classification and regression tasks. …”
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Single-shot super-resolved fringe projection profilometry (SSSR-FPP): 100,000 frames-per-second 3D imaging with deep learning by Bowen Wang, Wenwu Chen, Jiaming Qian, Shijie Feng, Qian Chen, Chao Zuo

“…Here we report a novel learning-based ultrafast 3D imaging technique, termed single-shot super-resolved FPP (SSSR-FPP), which enables ultrafast 3D imaging at 100,000 Hz. …”
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Comparative analysis of generative LLMs for labeling entities in clinical notes by Rodrigo del Moral-González, Helena Gómez-Adorno, Orlando Ramos-Flores

“…Abstract This paper evaluates and compares different fine-tuned variations of generative large language models (LLM) in the zero-shot named entity recognition (NER) task for the clinical domain. …”
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Implication of inter-joint coordination on the limb symmetry index measured during the seated single-arm horizontal push test by Y. Blache, M. Degot, T. de Sousa, I. Rogowski

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Decoding substance use disorder severity from clinical notes using a large language model by Maria Mahbub, Gregory M. Dams, Sudarshan Srinivasan, Caitlin Rizy, Ioana Danciu, Jodie Trafton, Kathryn Knight

“…We propose a workflow employing zero-shot learning of LLMs with carefully crafted prompts and post-processing techniques. …”
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