Hyeonseok Moon
32 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
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Conferences
ACL (9)
EMNLP (8)
COLING (5)
NAACL (5)
EACL (2)
IJCNLP (2)
AACL (1)
Top co-authors
Research topics
Keywords
large language model
(8)
machine translation
(6)
text generation
(4)
automatic speech recognition
(4)
evaluation metric
(3)
cross-lingual transfer
(3)
korean language
(3)
low-resource language
(3)
benchmark evaluation
(3)
subword tokenization
(2)
question answering
(2)
critical error detection
(2)
language model evaluation
(2)
instruction tuning
(2)
data augmentation
(2)
question generation
(2)
quality estimation
(2)
instruction following
(2)
language model
(2)
dialogue generation
(1)
Papers
Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation
ACL 2026
Cross-Lingual Optimization for Language Transfer in Large Language Models
ACL 2025
MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation
NAACL 2025
LimaCost: Data Valuation for Instruction Tuning of Large Language Models
EMNLP 2025
Call for Rigor in Reporting Quality of Instruction Tuning Data
ACL 2025
Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual Transfer
ACL 2025
Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language Models
NAACL 2025
FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models
NAACL 2025
MIGRATE: Cross-Lingual Adaptation of Domain-Specific LLMs through Code-Switching and Embedding Transfer
COLING 2025
The Impact of Negated Text on Hallucination with Large Language Models
EMNLP 2025
Metric Calculating Benchmark: Code-Verifiable Complicate Instruction Following Benchmark for Large Language Models
EMNLP 2025
Translation of Multifaceted Data without Re-Training of Machine Translation Systems
EMNLP 2024
Hyper-BTS Dataset: Scalability and Enhanced Analysis of Back TranScription (BTS) for ASR Post-Processing
EACL 2024
Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation
EACL 2024
Detecting Critical Errors Considering Cross-Cultural Factors in English-Korean Translation
COLING 2024
Leveraging Pre-existing Resources for Data-Efficient Counter-Narrative Generation in Korean
COLING 2024
Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation
ACL 2024
Informative Evidence-guided Prompt-based Fine-tuning for English-Korean Critical Error Detection
AACL 2023
PEEP-Talk: A Situational Dialogue-based Chatbot for English Education
ACL 2023
Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks
ACL 2023
Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering
ACL 2023
KEBAP: Korean Error Explainable Benchmark Dataset for ASR and Post-processing
EMNLP 2023
Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations
EMNLP 2023
CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients
EMNLP 2023
Informative Evidence-guided Prompt-based Fine-tuning for English-Korean Critical Error Detection
IJCNLP 2023
KU X Upstageβs Submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task
EMNLP 2022
A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation
NAACL 2022
Focus on FoCus: Is FoCus focused on Context, Knowledge and Persona?
COLING 2022
QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation
COLING 2022
Should we find another model?: Improving Neural Machine Translation Performance with ONE-Piece Tokenization Method without Model Modification
NAACL 2021
BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text
IJCNLP 2021
BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text
ACL 2021