Seonmin Koo
11 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
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Keywords
large language model
(6)
knowledge retrieval
(2)
language model evaluation
(2)
long context
(2)
text generation
(2)
question answering
(2)
dialogue system
(2)
korean language
(2)
semantic analysis
(1)
language understanding
(1)
grammatical error correction
(1)
instruction tuning
(1)
evaluation framework
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benchmark dataset
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gradient estimation
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data valuation
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dialogue generation
(1)
retrieval-augmented generation
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table question answering
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task alignment
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Papers
I Know, but I Donβt Know! How Persona Conflict Undermines Instruction Adherence in Large Language Models
EACL 2026
EASE: Entity-Aware Sub-table Generation for Real-world Multi-table QA
ACL 2026
Semantic Inversion, Identical Replies: Revisiting Negation Blindness in Large Language Models
EMNLP 2025
LimaCost: Data Valuation for Instruction Tuning of Large Language Models
EMNLP 2025
HAWK: Highlighting Entity-aware Knowledge for Alleviating Information Sparsity in Long Contexts
EMNLP 2025
Detecting Critical Errors Considering Cross-Cultural Factors in English-Korean Translation
COLING 2024
PANDA: Persona Attributes Navigation for Detecting and Alleviating Overuse Problem in Large Language Models
EMNLP 2024
Where am I? Large Language Models Wandering between Semantics and Structures in Long Contexts
EMNLP 2024
Search if you donβt know! Knowledge-Augmented Korean Grammatical Error Correction with Large Language Models
EMNLP 2024
KEBAP: Korean Error Explainable Benchmark Dataset for ASR and Post-processing
EMNLP 2023
A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation
NAACL 2022