Taegwan Kang
7 papers · 2022–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (14)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(27)
β
The Questioner
Conferences
ACL (3)
EMNLP (2)
EACL (1)
NAACL (1)
Top co-authors
Keywords
large language model
(3)
adversarial attack
(2)
bias detection
(2)
sequence generation
(1)
multi-task learning
(1)
adversarial robustness
(1)
benchmark evaluation
(1)
mathematical reasoning
(1)
knowledge distillation
(1)
prompt engineering
(1)
response generation
(1)
multimodal learning
(1)
empirical study
(1)
llm evaluation
(1)
instruction following
(1)
image generation
(1)
zero-shot learning
(1)
bias mitigation
(1)
vision-language model
(1)
model compression
(1)
Papers
Donβt Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation
EACL 2026
LLMs can be easily Confused by Instructional Distractions
ACL 2025
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation
EMNLP 2025
Can You Trick the Grader? Adversarial Persuasion of LLM Judges
EMNLP 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