Stuart E. Middleton
9 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (21) 🏆 Keyword Champion 🔥 Unstoppable · Bronze
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The Questioner
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Research topics
Machine Learning
(7)
Natural Language Processing
(7)
Applications · Natural Language Processing
(6)
Learning Types
(5)
Artificial Intelligence
(4)
Resources & Methods
(4)
Core AI
(3)
Deep Learning
(2)
Application Areas
(2)
Core Methods
(2)
Generation
(2)
Models
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Applications · Computer Vision
(1)
Keywords
text summarization
(2)
text classification
(2)
audio feature
(2)
multimodal learning
(2)
few-shot learning
(2)
zero-shot learning
(2)
large language model
(2)
self-supervised learning
(1)
visual question answering
(1)
extractive summarization
(1)
sports analytics
(1)
prompt engineering
(1)
retrieval-augmented generation
(1)
chain-of-thought prompting
(1)
social media
(1)
question answering
(1)
utterance classification
(1)
longitudinal data
(1)
scientific document
(1)
attention mechanism
(1)
Papers
CPIQA: Climate Paper Image Question Answering Dataset for Retrieval-Augmented Generation with Context-based Query Expansion
ACL 2025
Do Prompt Positions Really Matter?
NAACL 2024
Extracting and Summarizing Evidence of Suicidal Ideation in Social Media Contents Using Large Language Models
EACL 2024
Rationale-based Learning Using Self-Supervised Narrative Events for Text Summarisation of Interactive Digital Narratives
COLING 2024
Augmenting pre-trained language models with audio feature embedding for argumentation mining in political debates
EACL 2023
Detecting Moments of Change and Suicidal Risks in Longitudinal User Texts Using Multi-task Learning
NAACL 2022
IDN-Sum: A New Dataset for Interactive Digital Narrative Extractive Text Summarisation
COLING 2022
Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model
AAAI 2021
M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and Transcripts
EMNLP 2021