6 citations · 7 across the 10 of their papers we have counts for
10 papers
Location-Aware Language Models via Secondary Embeddings
Gokul Srinivasagan, Munir Georges
Pretrained transformer-based language models achieve strong performance across a wide range of NLP tasks but remain limited in encoding geo-locational semantics, leading to subopti…
The In-Car Sign Language Corpus (ICSL): A Multi-Modal Resource for Constrained-Space Sign Language Recognition
Raviteja Boddu, Guilherme Vieira Leite, Joed Lopes da Silva +9
This paper addresses the challenges of using sign language within shared mobility services, such as taxis, carpools, or ride-sharing platforms. The use of sign language recognition…
Entropy-aware Masking for Masked Language Modeling
Gokul Srinivasagan, Kai Hartung, Munir Georges
Masked language modeling has become a standard pretraining objective for training encoder-based language models. In this approach, certain tokens in the input are masked, and the m…
Scalable Engine and the Performance of Different LLM Models in a SLURM based HPC architecture
Anderson de Lima Luiz, Shubham Vijay Kurlekar, Munir Georges
This work elaborates on a High performance computing (HPC) architecture based on Simple Linux Utility for Resource Management (SLURM) [1] for deploying heterogeneous Large Language…
Analysis of Knowledge Tracing performance on synthesised student data
Panagiotis Pagonis, Kai Hartung, Di Wu +2
Knowledge Tracing (KT) aims to predict the future performance of students by tracking the development of their knowledge states. Despite all the recent progress made in this field,…
Compression of end-to-end non-autoregressive image-to-speech system for low-resourced devices
Gokul Srinivasagan, Michael Deisher, Munir Georges
People with visual impairments have difficulty accessing touchscreen-enabled personal computing devices like mobile phones and laptops. The image-to-speech (ITS) systems can assist…
Measuring Sentiment Bias in Machine Translation
Kai Hartung, Aaricia Herygers, Shubham Kurlekar +4
Biases induced to text by generative models have become an increasingly large topic in recent years. In this paper we explore how machine translation might introduce a bias in sent…
Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes
Kevin Glocker, Aaricia Herygers, Munir Georges
This paper proposes Allophant, a multilingual phoneme recognizer. It requires only a phoneme inventory for cross-lingual transfer to a target language, allowing for low-resource re…
An End-to-End Neural Network for Image-to-Audio Transformation
Liu Chen, Michael Deisher, Munir Georges
This paper describes an end-to-end (E2E) neural architecture for the audio rendering of small portions of display content on low resource personal computing devices. It is intended…
Compact Speaker Embedding: lrx-vector
Munir Georges, Jonathan Huang, Tobias Bocklet
Deep neural networks (DNN) have recently been widely used in speaker recognition systems, achieving state-of-the-art performance on various benchmarks. The x-vector architecture is…