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pro vyhledávání: '"Greene, Derek"'
Autor:
Guan, Shuhao, Greene, Derek
This paper explores the application of synthetic data in the post-OCR domain on multiple fronts by conducting experiments to assess the impact of data volume, augmentation, and synthetic data generation methods on model performance. Furthermore, we i
Externí odkaz:
http://arxiv.org/abs/2408.02253
The rapid development of Large Language Models (LLMs) like GPT-4, Claude-3, and Gemini has transformed the field of natural language processing. However, it has also resulted in a significant issue known as Benchmark Data Contamination (BDC). This oc
Externí odkaz:
http://arxiv.org/abs/2406.04244
Autor:
Cunningham, Eoghan, Greene, Derek
The advancement of science relies on the exchange of ideas across disciplines and the integration of diverse knowledge domains. However, tracking knowledge flows and interdisciplinary integration in rapidly evolving, multidisciplinary fields remains
Externí odkaz:
http://arxiv.org/abs/2406.03921
Pseudo-relevance feedback (PRF) can enhance average retrieval effectiveness over a sufficiently large number of queries. However, PRF often introduces a drift into the original information need, thus hurting the retrieval effectiveness of several que
Externí odkaz:
http://arxiv.org/abs/2401.11198
Autor:
Liu, Dairui, Yang, Boming, Du, Honghui, Greene, Derek, Lawlor, Aonghus, Dong, Ruihai, Li, Irene
News recommendations heavily rely on Natural Language Processing (NLP) methods to analyze, understand, and categorize content, enabling personalized suggestions based on user interests and reading behaviors. Large Language Models (LLMs) like GPT-4 ha
Externí odkaz:
http://arxiv.org/abs/2312.10463
In the extensive recommender systems literature, novelty and diversity have been identified as key properties of useful recommendations. However, these properties have received limited attention in the specific sub-field of research paper recommender
Externí odkaz:
http://arxiv.org/abs/2309.14984
Autor:
Sawant, Sharmistha S., Thakare, Saloni D., Greene, Derek, Meaney, Gerardine, Smeaton, Alan F.
Handwriting is an art form that most people learn at an early age. Each person's writing style is unique with small changes as we grow older and as our mood changes. Here we analyse handwritten text in a culturally significant personal diary. We comp
Externí odkaz:
http://arxiv.org/abs/2308.08697
Publikováno v:
Metadata and Semantic Research (MTSR 2019), Communications in Computer and Information Science, vol 1057. Springer, Cham
The increasing availability of digital collections of historical and contemporary literature presents a wealth of possibilities for new research in the humanities. The scale and diversity of such collections however, presents particular challenges in
Externí odkaz:
http://arxiv.org/abs/2306.08020
Publikováno v:
ACM Trans. Recomm. Syst. 1, 1, Article 1 (January 2024), 26 pages.
News recommender systems (NRS) have been widely applied for online news websites to help users find relevant articles based on their interests. Recent methods have demonstrated considerable success in terms of recommendation performance. However, the
Externí odkaz:
http://arxiv.org/abs/2306.07506
Despite the retrieval effectiveness of queries being mutually independent of one another, the evaluation of query performance prediction (QPP) systems has been carried out by measuring rank correlation over an entire set of queries. Such a listwise a
Externí odkaz:
http://arxiv.org/abs/2304.00310