A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units [PDF]
, 2018 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]
, 2007 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
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations
, 2020 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
Interplay between Point-Group Symmetries and the Choice of the Bloch Basis in Multiband Models [PDF]
, 2013 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
Consistent Responses to Paraphrased Questions as Evidence Against Hallucination: A Study on Hallucinations in LLMs [PDF]
International Journal of Web ResearchThe 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
Context Modeling for Ranking and Tagging Bursty Features in Text Streams [PDF]
, 2010 Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without taking into account the semantic contexts of terms, and as a result the detected
HE, Jing +5 more
core +1 more source
Enhancing Agriculture QA Models Using Large Language Models [PDF]
BIO Web of ConferencesAgriculture 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
Using Parsimonious Language Models on Web Data [PDF]
, 2008 In this paper we explore the use of parsimonious language models for web retrieval. These models are smaller thus more efficient than the standard language models and are therefore well suited for large-scale web retrieval.
Hiemstra, Djoerd +3 more
core +4 more sources
RELEASE: A High-level Paradigm for Reliable Large-scale Server Software [PDF]
, 2012 Erlang is a functional language with a much-emulated model for building reliable distributed systems. This paper outlines the RELEASE project, and describes the progress in the first six months.
A. Leung +14 more
core +1 more source
Large language models propagate race-based medicine
npj Digital Medicine, 2023 Large language models (LLMs) are being integrated into healthcare systems; but these models may recapitulate harmful, race-based medicine. The objective of this study is to assess whether four commercially available large language models (LLMs) propagate
Jesutofunmi A. Omiye +4 more
doaj +1 more source