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07/28/2023
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning
Large language models (LLMs) have shown remarkable capacity for in-conte...
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05/15/2023
New entanglement-assisted quantum codes from negacyclic codes
The theory of entanglement-assisted quantum error-correcting codes (EAQE...
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09/17/2022
Technical Report for Trend Prediction Based Intelligent UAV Trajectory Planning for Large-scale Dynamic Scenarios
The unmanned aerial vehicle (UAV)-enabled communication technology is re...
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04/28/2022
MeSHup: A Corpus for Full Text Biomedical Document Indexing
Medical Subject Heading (MeSH) indexing refers to the problem of assigni...
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03/14/2022
KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling
Currently, Medical Subject Headings (MeSH) are manually assigned to ever...
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08/11/2021
Technical Report for A Service-Fair UAV-NOMA System for Large-scale IoT scenarios
Integrating unmanned aerial vehicles (UAVs) and non-orthogonal multiple ...
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03/01/2021
Technical Report for A Joint User Scheduling and Trajectory Planning Data Collection Strategy for the UAV-assisted WSN
Unmanned aerial vehicles (UAVs) are usually dispatched as mobile sinks t...
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11/19/2020
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP
Clinical machine learning is increasingly multimodal, collected in both ...
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12/20/2019
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models
Named entity recognition (NER) and relation extraction (RE) are two impo...
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08/13/2019
L2P: An Algorithm for Estimating Heavy-tailed Outcomes
Many real-world prediction tasks have outcome (a.k.a. target or response...
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06/27/2017