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Found 13 papers, 3 papers with code
Dependability Evaluation of Stable Diffusion with Soft Errors on the Model Parameters
In this paper, the dependability of Stable Diffusion is studied focusing on soft errors in the memory that stores the model parameters; specifically, errors are injected into some critical layers of the Transformer in different blocks of the image information creator, to evaluate their impact on model performance.
Concurrent Linguistic Error Detection (CLED) for Large Language Models
Since the proposed error detection mechanism only relies on the outputs of the model, then it can be used on LLMs in which there is no access to the internal nodes.
Open Source Conversational LLMs do not know most Spanish words
The growing interest in Large Language Models (LLMs) and in particular in conversational models with which users can interact has led to the development of a large number of open-source chat LLMs.
Establishing Vocabulary Tests as a Benchmark for Evaluating Large Language Models
Vocabulary tests, once a cornerstone of language modeling evaluation, have been largely overlooked in the current landscape of Large Language Models (LLMs) like Llama, Mistral, and GPT.
How many words does ChatGPT know? The answer is ChatWords
The benefits of ChatWords are illustrated with two case studies: evaluating the knowledge that ChatGPT has of the Spanish lexicon (taken from the official dictionary of the "Real Academia Espa\~nola") and of the words that appear in the Quixote, the well-known novel written by Miguel de Cervantes.
Playing with Words: Comparing the Vocabulary and Lexical Richness of ChatGPT and Humans
Therefore, further research is needed to understand how the use of ChatGPT and more broadly generative AI tools will affect the vocabulary and lexical richness in different types of text and languages.
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet
Our results show that the quality and diversity of the generated images can degrade over time suggesting that incorporating AI-created data can have undesired effects on future versions of generative models.
Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems
In this paper, we introduce Concurrent Classifier Error Detection (CCED), a scheme to implement CED in ML systems using a concurrent ML classifier to detect errors.
A brief introduction to satellite communications for Non-Terrestrial Networks (NTN)
At present (year 2023), approximately 2, 500 satellites are currently orbiting the Earth.
Unfinished Architectures: A Perspective from Artificial Intelligence
Unfinished buildings are a constant throughout the history of architecture and have given rise to intense debates on the opportuneness of their completion, in addition to offering alibis for theorizing about the compositional possibilities in coherence with the finished parts.
Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation?
Therefore, future versions of generative AI tools will be trained with Internet data that is a mix of original and AI-generated data.
Can Artificial Intelligence Reconstruct Ancient Mosaics?
A large number of ancient mosaics have not reached us because they have been destroyed by erosion, earthquakes, looting or even used as materials in newer construction.
Text to Image Generation: Leaving no Language Behind
The results show that there is a significant performance degradation when using languages other than English, especially for languages that are not widely used.
