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Publikováno v:
Indian Journal of Urology, Vol 40, Iss 2, Pp 140-141 (2024)
Externí odkaz:
https://doaj.org/article/5750801798344505873bd8b810f864d3
Autor:
Bhattarai, Binod1 (AUTHOR), Adhikari, Dipendra2 (AUTHOR), Adhikari, Jagan Nath3,4 (AUTHOR), Bhattarai, Bishnu Prasad1,4 (AUTHOR) bpbhattarai@cdztu.edu.np
Publikováno v:
Ornis Hungarica. Dec2024, Vol. 32 Issue 2, p1-25. 25p.
Text-guided image editing finds applications in various creative and practical fields. While recent studies in image generation have advanced the field, they often struggle with the dual challenges of coherent image transformation and context preserv
Externí odkaz:
http://arxiv.org/abs/2412.13081
We introduce a novel method to enhance cross-language code translation from Fortran to C++ by integrating task-specific embedding alignment into a Retrieval-Augmented Generation (RAG) framework. Unlike conventional retrieval approaches that utilize g
Externí odkaz:
http://arxiv.org/abs/2412.05159
Autor:
Bhattarai, Manish, Barron, Ryan, Eren, Maksim, Vu, Minh, Grantcharov, Vesselin, Boureima, Ismael, Stanev, Valentin, Matuszek, Cynthia, Valtchinov, Vladimir, Rasmussen, Kim, Alexandrov, Boian
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating external document retrieval to provide domain-specific or up-to-date knowledge. The effectiveness of RAG depends on the relevance of retrieved documents, which
Externí odkaz:
http://arxiv.org/abs/2412.04661
Autor:
Colman, Roman, Vu, Minh, Bhattarai, Manish, Ma, Martin, Viswanathan, Hari, O'Malley, Daniel, Santos, Javier E.
For decades, corporations and governments have relied on scanned documents to record vast amounts of information. However, extracting this information is a slow and tedious process due to the sheer volume and complexity of these records. The rise of
Externí odkaz:
http://arxiv.org/abs/2412.02886
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
Autor:
Pokhrel, Sandesh, Bhandari, Sanjay, Ali, Sharib, Lambrou, Tryphon, Nguyen, Anh, Shrestha, Yash Raj, Watson, Angus, Stoyanov, Danail, Gyawali, Prashnna, Bhattarai, Binod
The integration of deep learning tools in gastrointestinal vision holds the potential for significant advancements in diagnosis, treatment, and overall patient care. A major challenge, however, is these tools' tendency to make overconfident predictio
Externí odkaz:
http://arxiv.org/abs/2412.01590
Autor:
Zuraiq, Zenia, Kumar, Achal, Hackett, Alexander J., Bhattarai, Surendra, Tout, Christopher A., Mukhopadhyay, Banibrata
Over the last few decades, there has been considerable interest in the violation of the sacred "Chandrasekhar" mass limit of white dwarfs (WDs). Peculiar over-luminous type Ia supernovae (such as SNLS-03D3bb) lend observational support to the idea th
Externí odkaz:
http://arxiv.org/abs/2411.18692
Publikováno v:
2024 International Symposium on the Tsetlin Machine (ISTM)
Designing an explainable model becomes crucial now for Natural Language Processing(NLP) since most of the state-of-the-art machine learning models provide a limited explanation for the prediction. In the spectrum of an explainable model, Tsetlin Mach
Externí odkaz:
http://arxiv.org/abs/2411.04557