Zobrazeno 1 - 10
of 1 985
pro vyhledávání: '"P. Estevam"'
The domain of human resources (HR) includes a broad spectrum of tasks related to natural language processing (NLP) techniques. Recent breakthroughs in NLP have generated significant interest in its industrial applications in this domain and potential
Externí odkaz:
http://arxiv.org/abs/2410.16498
Autor:
Belem, Catarina G., Pezeskhpour, Pouya, Iso, Hayate, Maekawa, Seiji, Bhutani, Nikita, Hruschka, Estevam
Although many studies have investigated and reduced hallucinations in large language models (LLMs) for single-document tasks, research on hallucination in multi-document summarization (MDS) tasks remains largely unexplored. Specifically, it is unclea
Externí odkaz:
http://arxiv.org/abs/2410.13961
The limited amount of labeled data for training the Brazilian Sign Language (Libras) to Portuguese Translation models is a challenging problem due to video collection and annotation costs. This paper proposes generating sign language content by conca
Externí odkaz:
http://arxiv.org/abs/2409.01506
Autor:
Kandogan, Eser, Rahman, Sajjadur, Bhutani, Nikita, Zhang, Dan, Chen, Rafael Li, Mitra, Kushan, Gurajada, Sairam, Pezeshkpour, Pouya, Iso, Hayate, Feng, Yanlin, Kim, Hannah, Shen, Chen, Wang, Jin, Hruschka, Estevam
Large Language Models (LLMs) have showcased remarkable capabilities surpassing conventional NLP challenges, creating opportunities for use in production use cases. Towards this goal, there is a notable shift to building compound AI systems, wherein L
Externí odkaz:
http://arxiv.org/abs/2406.00584
Autor:
Pezeshkpour, Pouya, Hruschka, Estevam
Utilizing large language models (LLMs) to rank a set of items has become a common approach in recommendation and retrieval systems. Typically, these systems focus on ordering a substantial number of documents in a monotonic order based on a given que
Externí odkaz:
http://arxiv.org/abs/2404.00211
Autor:
Petrović, B., Bader, A., Nauschütz, J., Sato, T., Birner, S., Estevam, S., Weih, R., Hartmann, F., Höfling, S.
We compare InAs-based and GaSb-based interband cascade lasers (ICLs) with the same 12 stages active region designed to emit at a wavelength of 4.6 {\mu}m. They employ a hybrid cladding architecture with the same geometry and inner claddings consistin
Externí odkaz:
http://arxiv.org/abs/2403.06525
Constructing and serving knowledge graphs (KGs) is an iterative and human-centered process involving on-demand programming and analysis. In this paper, we present Kyurem, a programmable and interactive widget library that facilitates human-in-the-loo
Externí odkaz:
http://arxiv.org/abs/2402.03291
Autor:
Pezeshkpour, Pouya, Kandogan, Eser, Bhutani, Nikita, Rahman, Sajjadur, Mitchell, Tom, Hruschka, Estevam
Remarkable performance of large language models (LLMs) in a variety of tasks brings forth many opportunities as well as challenges of utilizing them in production settings. Towards practical adoption of LLMs, multi-agent systems hold great promise to
Externí odkaz:
http://arxiv.org/abs/2402.01108
Autor:
Teneva, Nedelina, Hruschka, Estevam
Despite the recent popularity of knowledge graph (KG) related tasks and benchmarks such as KG embeddings, link prediction, entity alignment and evaluation of the reasoning abilities of pretrained language models as KGs, the structure and properties o
Externí odkaz:
http://arxiv.org/abs/2311.06414
Numerous HR applications are centered around resumes and job descriptions. While they can benefit from advancements in NLP, particularly large language models, their real-world adoption faces challenges due to absence of comprehensive benchmarks for
Externí odkaz:
http://arxiv.org/abs/2311.06383