Joe Barrow
13 papers · 2017–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
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Artificial Intelligence
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Natural Language Processing
(7)
Core AI
(6)
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(4)
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(3)
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(1)
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(1)
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Keywords
model evaluation
(2)
question answering
(2)
document understanding
(2)
prompt engineering
(2)
large language model
(2)
argument mining
(1)
object detection
(1)
zero-shot learning
(1)
document analysis
(1)
text classification
(1)
data augmentation
(1)
joint learning
(1)
text summarization
(1)
automatic speech recognition
(1)
fine-grained classification
(1)
stance detection
(1)
graph representation
(1)
informative sampling
(1)
bayesian inference
(1)
image classification
(1)
Papers
CommonForms: A Large, Diverse Dataset for Form Field Detection
WACV 2026
From Selection to Generation: A Survey of LLM-based Active Learning
ACL 2025
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
NAACL 2025
Standardizing the Measurement of Text Diversity: A Tool and Comparative Analysis
IJCNLP 2025
Chain of Logic: Rule-Based Reasoning with Large Language Models
ACL 2024
How Much Annotation is Needed to Compare Summarization Models?
NAACL 2024
PDFTriage: Question Answering over Long, Structured Documents
EMNLP 2024
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
ACL 2021
Syntopical Graphs for Computational Argumentation Tasks
ACL 2021
A Joint Model for Document Segmentation and Segment Labeling
ACL 2020
It Takes Two to Lie: One to Lie, and One to Listen
ACL 2020
Mitigating Noisy Inputs for Question Answering
Interspeech 2019
UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity
SemEval 2017