Inho Kang
11 papers · 2019–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Mega-Team Β· Squad
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Topic Evolution
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Conference Pioneer
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Unstoppable Β· Bronze
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The Questioner
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(72)
Venues
Top co-authors
Research topics
Natural Language Processing
(9)
Deep Learning
(8)
Applications Β· Natural Language Processing
(8)
Artificial Intelligence
(7)
Machine Learning
(7)
Core AI
(7)
Architectures
(5)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(4)
Resources & Methods
(3)
Application Areas
(2)
Computer Vision
(1)
Applications Β· Computer Vision
(1)
Core Methods
(1)
Generation
(1)
Keywords
retrieval-augmented generation
(2)
small language model
(2)
large language model
(2)
question answering
(2)
korean language
(2)
natural language inference
(2)
self-supervised learning
(1)
text classification
(1)
zero-shot learning
(1)
in-context learning
(1)
web search
(1)
prompt engineering
(1)
chain-of-thought reasoning
(1)
information retrieval
(1)
few-shot learning
(1)
dense retrieval
(1)
ai safety
(1)
knowledge distillation
(1)
efficient computing
(1)
multimodal learning
(1)
Papers
From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines
ACL 2026
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines
ACL 2025
RADCoT: Retrieval-Augmented Distillation to Specialization Models for Generating Chain-of-Thoughts in Query Expansion
COLING 2024
SLM as Guardian: Pioneering AI Safety with Small Language Model
EMNLP 2024
MAFiD: Moving Average Equipped Fusion-in-Decoder for Question Answering over Tabular and Textual Data
EACL 2023
RINK: Reader-Inherited Evidence Reranker for Table-and-Text Open Domain Question Answering
AAAI 2023
LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration Memory
ACL 2022
SISER: Semantic-Infused Selective Graph Reasoning for Fact Verification
COLING 2022
Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA
AAAI 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
EMNLP 2021
Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information
AAAI 2019