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pro vyhledávání: '"Martinez, Gonzalo"'
One of the latest trends in generative Artificial Intelligence is tools that generate and analyze content in different modalities, such as text and images, and convert information from one to the other. From a conceptual point of view, it is interest
Externí odkaz:
http://arxiv.org/abs/2409.16297
Autor:
Martínez, Gonzalo, Molero, Juan Diego, González, Sandra, Conde, Javier, Brysbaert, Marc, Reviriego, Pedro
This study investigates the potential of large language models (LLMs) to provide accurate estimates of concreteness, valence and arousal for multi-word expressions. Unlike previous artificial intelligence (AI) methods, LLMs can capture the nuanced me
Externí odkaz:
http://arxiv.org/abs/2408.16012
Autor:
Conde, Javier, González, Miguel, Martínez, Gonzalo, Moral, Fernando, Merino-Gómez, Elena, Reviriego, Pedro
Publikováno v:
Presented at the GenAI Evaluation KDD2024: KDD workshop on Evaluation and Trustworthiness of Generative AI Models
Generative Artificial Intelligence image models have achieved outstanding performance in text-to-image generation and other tasks, such as inpainting that completes images with missing fragments. The performance of inpainting can be accurately measur
Externí odkaz:
http://arxiv.org/abs/2407.09549
Autor:
Hernández, José A., Scano, Davide, Cugini, Filippo, Martínez, Gonzalo, Koneva, Natalia, Sánchez-Macián, Alvaro, de Dios, Óscar González
Publikováno v:
The 28th International Conference on Optical Network Design and Modelling (ONDM 2024)
Monitoring streams of packets at 100~Gb/s and beyond requires using compact and efficient hashing-techniques like HyperLogLog (HLL) or Count-Min Sketch (CMS). In this work, we evaluate the uses and applications of Count-Min Sketch for Metro Networks
Externí odkaz:
http://arxiv.org/abs/2406.12586
Autor:
Conde, Javier, González, Miguel, Melero, Nina, Ferrando, Raquel, Martínez, Gonzalo, Merino-Gómez, Elena, Hernández, José Alberto, Reviriego, Pedro
Publikováno v:
Procesamiento del Lenguaje Natural, n. 73, 2024. http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6603
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. These models are evaluated on a wide range of benchma
Externí odkaz:
http://arxiv.org/abs/2403.15491
Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study
Publikováno v:
ACM Transactions on Intelligent Systems and Technology, 2024
The performance of conversational Large Language Models (LLMs) in general, and of ChatGPT in particular, is currently being evaluated on many different tasks, from logical reasoning or maths to answering questions on a myriad of topics. Instead, much
Externí odkaz:
http://arxiv.org/abs/2402.15518
Autor:
Martínez, Gonzalo, Conde, Javier, Merino-Gómez, Elena, Bermúdez-Margaretto, Beatriz, Hernández, José Alberto, Reviriego, Pedro, Brysbaert, Marc
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. While most LLM evaluation benchmarks focus on specific tasks or
Externí odkaz:
http://arxiv.org/abs/2310.14703
Autor:
Martínez, Gonzalo, Conde, Javier, Reviriego, Pedro, Merino-Gómez, Elena, Hernández, José Alberto, Lombardi, Fabrizio
The introduction of ChatGPT has put Artificial Intelligence (AI) Natural Language Processing (NLP) in the spotlight. ChatGPT adoption has been exponential with millions of users experimenting with it in a myriad of tasks and application domains with
Externí odkaz:
http://arxiv.org/abs/2309.16777
Autor:
Reviriego, Pedro, Conde, Javier, Merino-Gómez, Elena, Martínez, Gonzalo, Hernández, José Alberto
The introduction of Artificial Intelligence (AI) generative language models such as GPT (Generative Pre-trained Transformer) and tools such as ChatGPT has triggered a revolution that can transform how text is generated. This has many implications, fo
Externí odkaz:
http://arxiv.org/abs/2308.07462
Autor:
Martínez, Gonzalo, Watson, Lauren, Reviriego, Pedro, Hernández, José Alberto, Juarez, Marc, Sarkar, Rik
The rapid adoption of generative Artificial Intelligence (AI) tools that can generate realistic images or text, such as DALL-E, MidJourney, or ChatGPT, have put the societal impacts of these technologies at the center of public debate. These tools ar
Externí odkaz:
http://arxiv.org/abs/2306.06130