Sungchul Kim
32 papers · 2012–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (13) π Conference Polyglot (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(58)
π€
Dynamic Duo
(21)
π₯
Mega-Team
(34)
π§¬
Topic Evolution
β‘
Prolific Year
(6)
π
Conference Pioneer
π
Century Club
(30)
ποΈ
Keyword Collector
(126)
π₯
Unstoppable
(6)
β
The Questioner
Conferences
ACL (8)
EMNLP (8)
NAACL (7)
ICLR (2)
ICML (2)
AAAI (1)
EACL (1)
IJCNLP (1)
JMLR (1)
WACV (1)
Top co-authors
Research topics
Keywords
large language model
(11)
question answering
(2)
active learning
(2)
figure caption generation
(2)
knowledge graph
(2)
multimodal learning
(2)
named entity recognition
(2)
vision-language model
(2)
federated learning
(2)
zero-shot learning
(2)
figure caption
(2)
knowledge distillation
(2)
retrieval-augmented generation
(2)
domain adaptation
(1)
online learning
(1)
reinforcement learning
(1)
few-shot learning
(1)
link prediction
(1)
contrastive learning
(1)
causal inference
(1)
Papers
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use
AAAI 2026
A Survey on LLM-based Conversational User Simulation
EACL 2026
Understanding Writing Assistants for Scientific Figure Captions: A Thematic Analysis
NAACL 2025
From Selection to Generation: A Survey of LLM-based Active Learning
ACL 2025
Doc-React: Multi-page Heterogeneous Document Question-answering
ACL 2025
GUI Agents: A Survey
ACL 2025
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
NAACL 2025
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
NAACL 2025
SAND: Boosting LLM Agents with Self-Taught Action Deliberation
EMNLP 2025
Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey
EMNLP 2025
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
EMNLP 2025
Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models
EMNLP 2025
LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles
EMNLP 2025
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion
EMNLP 2025
Fully Dynamic Embedding into $\ell_p$ Spaces
ICML 2025
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
NAACL 2025
Hallucination Diversity-Aware Active Learning for Text Summarization
NAACL 2024
Editing Partially Observable Networks via Graph Diffusion Models
ICML 2024
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning
NAACL 2024
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model
JMLR 2024
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention
ACL 2024
Advancing Vision-Language Models with Adapter Ensemble Strategies
EMNLP 2024
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
ICLR 2023
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions
EMNLP 2023
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets
ACL 2023
Few-Shot Class-Incremental Learning for Named Entity Recognition
ACL 2022
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
ICLR 2021
Learning Contextualized Knowledge Structures for Commonsense Reasoning
ACL 2021
Learning Contextualized Knowledge Structures for Commonsense Reasoning
IJCNLP 2021
Edge: Enriching Knowledge Graph Embeddings with External Text
NAACL 2021
Figure Captioning with Relation Maps for Reasoning
WACV 2020
Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia
ACL 2012