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pro vyhledávání: '"Canny A"'
Online Knowledge Repositories (OKRs) like Wikipedia offer communities a way to share and preserve information about themselves and their ways of living. However, for communities with low-resourced languages -- including most African communities -- th
Externí odkaz:
http://arxiv.org/abs/2405.16669
Autor:
Petryk, Suzanne, Chan, David M., Kachinthaya, Anish, Zou, Haodi, Canny, John, Gonzalez, Joseph E., Darrell, Trevor
Despite recent advances in multimodal pre-training for visual description, state-of-the-art models still produce captions containing errors, such as hallucinating objects not present in a scene. The existing prominent metric for object hallucination,
Externí odkaz:
http://arxiv.org/abs/2404.02904
Current Large Language Models (LLMs) are not only limited to some maximum context length, but also are not able to robustly consume long inputs. To address these limitations, we propose ReadAgent, an LLM agent system that increases effective context
Externí odkaz:
http://arxiv.org/abs/2402.09727
Autor:
Abdulhai, Marwa, Serapio-Garcia, Gregory, Crepy, Clément, Valter, Daria, Canny, John, Jaques, Natasha
Moral foundations theory (MFT) is a psychological assessment tool that decomposes human moral reasoning into five factors, including care/harm, liberty/oppression, and sanctity/degradation (Graham et al., 2009). People vary in the weight they place o
Externí odkaz:
http://arxiv.org/abs/2310.15337
The evaluation of machine-generated image captions poses an interesting yet persistent challenge. Effective evaluation measures must consider numerous dimensions of similarity, including semantic relevance, visual structure, object interactions, capt
Externí odkaz:
http://arxiv.org/abs/2310.12971
Autor:
Canny, Evan, Vansteensel, Mariska J., van der Salm, Sandra M. A., Müller-Putz, Gernot R., Berezutskaya, Julia
Individuals with a locked-in state live with severe whole-body paralysis that limits their ability to communicate with family and loved ones. Recent advances in the brain-computer interface (BCI) technology have presented a potential alternative for
Externí odkaz:
http://arxiv.org/abs/2306.03159
Autor:
Imam Cholissodin, Sutrisno Sutrisno, Arief Andy Soebroto, Latifah Hanum, Canny Amerilyse Caesar
Publikováno v:
Jurnal Teknologi Informasi dan Ilmu Komputer, Vol 4, Iss 1 (2017)
Externí odkaz:
https://doaj.org/article/aea9e077c9574ec7b5a70c54fb13a735
If you ask a human to describe an image, they might do so in a thousand different ways. Traditionally, image captioning models are trained to generate a single "best" (most like a reference) image caption. Unfortunately, doing so encourages captions
Externí odkaz:
http://arxiv.org/abs/2302.01328
Publikováno v:
Jurnal Teknologi Informasi dan Ilmu Komputer, Vol 3, Iss 3 (2016)
Externí odkaz:
https://doaj.org/article/4fc3c64b6279413f86cd19fe4511e08a
Autor:
Chan, David M, Ni, Yiming, Ross, David A, Vijayanarasimhan, Sudheendra, Myers, Austin, Canny, John
Traditional automated metrics for evaluating conditional natural language generation use pairwise comparisons between a single generated text and the best-matching gold-standard ground truth text. When multiple ground truths are available, scores are
Externí odkaz:
http://arxiv.org/abs/2209.07518