Zobrazeno 1 - 10
of 144
pro vyhledávání: '"91f20"'
As the cultural heritage sector increasingly adopts technologies like Retrieval-Augmented Generation (RAG) to provide more personalised search experiences and enable conversations with collections data, the demand for specialised evaluation datasets
Externí odkaz:
http://arxiv.org/abs/2410.08289
This paper introduces to a structured application of the One-Class approach and the One-Class-One-Network model for supervised classification tasks, specifically addressing a vowel phonemes classification case study within the Automatic Speech Recogn
Externí odkaz:
http://arxiv.org/abs/2410.05320
Autor:
González-Bustamante, Bastián
This article benchmarked the ability of OpenAI's GPTs and a number of open-source LLMs to perform annotation tasks on political content. We used a novel protest event dataset comprising more than three million digital interactions and created a gold
Externí odkaz:
http://arxiv.org/abs/2409.09741
This paper explores the pitfalls in evaluating multilingual automatic speech recognition (ASR) models, with a particular focus on Indic language scripts. We investigate the text normalization routine employed by leading ASR models, including OpenAI W
Externí odkaz:
http://arxiv.org/abs/2409.02449
Voice cloning is a prominent feature in personalized speech interfaces. A neural vocal cloning system can mimic someone's voice using just a few audio samples. Both speaker encoding and speaker adaptation are topics of research in the field of voice
Externí odkaz:
http://arxiv.org/abs/2408.10128
TripAdvisor reviews and comparable data sources play an important role in many tasks in Natural Language Processing (NLP), providing a data basis for the identification and classification of subjective judgments, such as hotel or restaurant reviews,
Externí odkaz:
http://arxiv.org/abs/2405.12055
Autor:
Stureborg, Rickard, Chen, Sanxing, Xie, Ruoyu, Patel, Aayushi, Li, Christopher, Zhu, Chloe Qinyu, Hu, Tingnan, Yang, Jun, Dhingra, Bhuwan
One way to personalize chatbot interactions is by establishing common ground with the intended reader. A domain where establishing mutual understanding could be particularly impactful is vaccine concerns and misinformation. Vaccine interventions are
Externí odkaz:
http://arxiv.org/abs/2405.10861
Publikováno v:
2024 IEEE 3rd International Conference on AI in Cybersecurity (ICAIC), Houston, TX, USA, 2024, pp. 1-12
In today's digital landscape, where cyber attacks have become the norm, the detection of cyber attacks and threats is critically imperative across diverse domains. Our research presents a new empirical framework for cyber threat modeling, adept at pa
Externí odkaz:
http://arxiv.org/abs/2405.06772
The zero-shot capability of Large Language Models (LLMs) has enabled highly flexible, reference-free metrics for various tasks, making LLM evaluators common tools in NLP. However, the robustness of these LLM evaluators remains relatively understudied
Externí odkaz:
http://arxiv.org/abs/2405.01724
Autor:
Dong, Rui
Typological databases in linguistics are usually categorical-valued. As a result, it is difficult to have a clear visualization of the data. In this paper, we describe a workflow to analyze the topological shapes of South American languages by applyi
Externí odkaz:
http://arxiv.org/abs/2403.15440