Taegwan Kang
7 papers · 2022–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(24)
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The Questioner
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(6)
Core AI · Artificial Intelligence
(6)
Deep Learning
(4)
Application Areas
(4)
Natural Language Processing
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Computer Vision
(1)
Applications
(1)
Core AI · Computer Vision
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
large language model
(3)
adversarial attack
(2)
bias detection
(2)
zero-shot learning
(1)
adversarial robustness
(1)
image generation
(1)
multi-task learning
(1)
knowledge distillation
(1)
prompt engineering
(1)
response generation
(1)
multimodal learning
(1)
empirical study
(1)
llm evaluation
(1)
instruction following
(1)
mathematical reasoning
(1)
benchmark evaluation
(1)
bias mitigation
(1)
vision-language model
(1)
pre-trained language model
(1)
sequence generation
(1)
Papers
Don’t Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation
EACL 2026
Can You Trick the Grader? Adversarial Persuasion of LLM Judges
EMNLP 2025
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation
EMNLP 2025
LLMs can be easily Confused by Instructional Distractions
ACL 2025
SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models
NAACL 2025
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination
ACL 2024
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model
ACL 2022