Results 11 to 20 of about 2,384,193 (254)
Large language models in medicine
Large language models (LLMs) can respond to free-text queries without being specifically trained in the task in question, causing excitement and concern about their use in healthcare settings. ChatGPT is a generative artificial intelligence (AI) chatbot produced through sophisticated fine-tuning of an LLM, and other tools are emerging through similar ...
Thirunavukarasu, Arun James +5 more
openaire +4 more sources
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations
Large-scale pretrained language models are the major driving force behind recent improvements in performance on the Winograd Schema Challenge, a widely employed test of common sense reasoning ability. We show, however, with a new diagnostic dataset, that
Abdou, Mostafa +5 more
core +1 more source
A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units [PDF]
We address the design of a unified multilingual system for handwriting recognition. Most of multi- lingual systems rests on specialized models that are trained on a single language and one of them is selected at test time.
Paquet, Thierry +2 more
core +2 more sources
Joint morphological-lexical language modeling for processing morphologically rich languages with application to dialectal Arabic [PDF]
Language modeling for an inflected language such as Arabic poses new challenges for speech recognition and machine translation due to its rich morphology.
Afify, Mohamed +6 more
core +2 more sources
Interplay between Point-Group Symmetries and the Choice of the Bloch Basis in Multiband Models [PDF]
We analyze the point-group symmetries of generic multiband tight-binding models with respect to the transformation properties of the effective interactions.
Honerkamp, Carsten +2 more
core +3 more sources
Table Search Using a Deep Contextualized Language Model
Pretrained contextualized language models such as BERT have achieved impressive results on various natural language processing benchmarks. Benefiting from multiple pretraining tasks and large scale training corpora, pretrained models can capture complex ...
Auer Sören +5 more
core +1 more source
Consistent Responses to Paraphrased Questions as Evidence Against Hallucination: A Study on Hallucinations in LLMs [PDF]
The increasing adoption of large language models (LLMs) has intensified concerns about hallucinations—outputs that are syntactically fluent but factually incorrect.
Tara Zare, Mehrnoush Shamsfard
doaj +1 more source
Enhancing Agriculture QA Models Using Large Language Models [PDF]
Agriculture is a complex process that requires a great deal of knowledge and experience. Yet, the complexity and often chaotic nature of web data presents a considerable challenge in obtaining suitable results.
He Xiaoyan
doaj +1 more source
Emotional intelligence of Large Language Models
Large Language Models (LLMs) have demonstrated remarkable abilities across numerous disciplines, primarily assessed through tasks in language generation, knowledge utilization, and complex reasoning.
Xuena Wang +4 more
doaj +1 more source
Background: Due to the recent revolution of artificial intelligence (AI), AI-enabled large language models (LLMs) have flourished and started to be applied in various sectors of science and medicine.
Chiranjib Chakraborty +5 more
doaj +1 more source

