Huy Nghiem
8 papers · 2024–2026 · 3 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(24)
🐣
Hot Topic Early Bird
❓
The Questioner
(2)
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(6)
Machine Learning
(5)
Natural Language Processing
(5)
Applications
(4)
Deep Learning
(3)
Application Areas
(3)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Resources & Methods
(2)
Interdisciplinary
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Social
(1)
Keywords
large language model
(4)
few-shot learning
(2)
natural language processing
(1)
machine translation
(1)
natural language inference
(1)
data augmentation
(1)
preference optimization
(1)
fairness auditing
(1)
offensive language detection
(1)
parallel corpus
(1)
toxicity detection
(1)
bias detection
(1)
low-resource language
(1)
evaluation metric
(1)
algorithmic bia
(1)
question answering
(1)
prototypical network
(1)
fairness evaluation
(1)
dual-process theory
(1)
text classification
(1)
Papers
Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style
ACL 2026
SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models
ACL 2026
VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation
EACL 2026
‘Rich Dad, Poor Lad’: How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?
EMNLP 2025
“Define Your Terms” : Enhancing Efficient Offensive Speech Classification with Definition
EACL 2024
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models
EMNLP 2024
PEDANTS: Cheap but Effective and Interpretable Answer Equivalence
EMNLP 2024
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
EMNLP 2024