A survey on machine reading comprehension systems
Machine Reading Comprehension (MRC) is a challenging task and hot topic in Natural
Language Processing. The goal of this field is to develop systems for answering the …
Language Processing. The goal of this field is to develop systems for answering the …
Secformer: Towards fast and accurate privacy-preserving inference for large language models
With the growing use of large language models hosted on cloud platforms to offer inference
services, privacy concerns are escalating, especially concerning sensitive data like …
services, privacy concerns are escalating, especially concerning sensitive data like …
Out-of-distribution detection via conditional kernel independence model
Recently, various methods have been introduced to address the OOD detection problem
with training outlier exposure. These methods usually count on discriminative softmax metric …
with training outlier exposure. These methods usually count on discriminative softmax metric …
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
J Luo, Y Zhang, Z Zhang, J Zhang, X Mu… - Findings of the …, 2024 - aclanthology.org
With the growing use of Transformer models hosted on cloud platforms to offer inference
services, privacy concerns are escalating, especially concerning sensitive data like …
services, privacy concerns are escalating, especially concerning sensitive data like …
Ensemble learning-based approach for improving generalization capability of machine reading comprehension systems
R Baradaran, H Amirkhani - Neurocomputing, 2021 - Elsevier
Abstract Machine Reading Comprehension (MRC) is an active field in natural language
processing with many successful developed models in recent years. Despite their high in …
processing with many successful developed models in recent years. Despite their high in …
Multimodal activation: Awakening dialog robots without wake words
When talking to the dialog robots, users have to activate the robot first from the standby
mode with special wake words, such as" Hey Siri", which is apparently not user-friendly. The …
mode with special wake words, such as" Hey Siri", which is apparently not user-friendly. The …
A cascaded retrieval-while-reasoning multi-document comprehension framework with incremental attention for medical question answering
Abstract Clinical Machine Reading Comprehension (MRC) is challenging due to the need
for medical expertise and comprehensive reasoning chains for diagnosis. This paper …
for medical expertise and comprehensive reasoning chains for diagnosis. This paper …
Cross-document attention-based gated fusion network for automated medical licensing exam
One of the applications of machine-learning in the medical industry is to automatically learn
knowledge from medical textbooks and transfer medical knowledge into diagnosis abilities …
knowledge from medical textbooks and transfer medical knowledge into diagnosis abilities …
Extractive question answering with contrastive puzzles and reweighted clues
Abstract The task of Extractive Question Answering (EQA) involves identifying correct
answer spans in response to provided questions and passages. The emergence of …
answer spans in response to provided questions and passages. The emergence of …
Multi-level multimodal transformer network for multimodal recipe comprehension
Multimodal Machine Comprehension (\rmM^3C) has been a challenging task that requires
understanding both language and vision, as well as their integration and interaction. For …
understanding both language and vision, as well as their integration and interaction. For …