Joonghyuk Hahn
11 papers · 2021–2026 · 4 conferences · across top CS/AI conferences
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EACL (3)
COLING (2)
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Keywords
text classification
(2)
large language model
(2)
symbolic reasoning
(2)
few-shot learning
(1)
code generation
(1)
mathematical reasoning
(1)
named entity recognition
(1)
data augmentation
(1)
recurrent neural network
(1)
rule-based learning
(1)
algorithm analysis
(1)
natural language understanding
(1)
neural network optimization
(1)
formal verification
(1)
graph embedding
(1)
attention mechanism
(1)
time complexity
(1)
semantic similarity
(1)
sentiment analysis
(1)
semi-supervised learning
(1)
Papers
A Regex Minimization Benchmark: A PSPACE-Complete Challenge for Language Models
EACL 2026
Query4Regex: Verifiable Regex Transformation through Formal Operations from NL and DSL Queries
EACL 2026
Repairing Regex Vulnerabilities via Localization-Guided Instructions
EACL 2026
AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection
EMNLP 2025
CodeComplex: Dataset for Worst-Case Time Complexity Prediction
EMNLP 2025
TCProF:Time-Complexity Prediction SSL Framework
NAACL 2025
SuperST: Superficial Self-Training for Few-Shot Text Classification
COLING 2024
ATHENA: Mathematical Reasoning with Thought Expansion
EMNLP 2023
GDA: Grammar-based Data Augmentation for Text Classification using Slot Information
EMNLP 2023
Boosting Code Summarization by Embedding Code Structures
COLING 2022
Self-Training using Rules of Grammar for Few-Shot NLU
EMNLP 2021