Mike Zhang
24 papers · 2019–2026 · 9 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (50) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
👥
Mega-Team · Legion
🏆
Keyword Champion
(5)
🌈
Renaissance Researcher
(6)
🔥
Unstoppable · Bronze
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The Questioner
(2)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
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Keyword Collector
(113)
Top co-authors
Research topics
Natural Language Processing
(18)
Machine Learning
(13)
Resources & Methods
(13)
Artificial Intelligence
(10)
Applications
(10)
Core AI
(9)
Deep Learning
(6)
Application Areas
(6)
Core Methods
(6)
Learning Types · Deep Learning
(4)
Learning Types · Machine Learning
(4)
Models
(3)
Learning Paradigms
(2)
Optimization & Theory
(2)
Understanding
(2)
Keywords
skill extraction
(5)
large language model
(5)
text classification
(5)
named entity recognition
(4)
job posting
(3)
multilingual language model
(3)
in-context learning
(2)
benchmark evaluation
(2)
multilingual nlp
(2)
natural language processing
(2)
sequence labeling
(2)
human evaluation
(2)
entity linking
(1)
domain adaptation
(1)
data augmentation
(1)
transfer learning
(1)
few-shot learning
(1)
response generation
(1)
model evaluation
(1)
question answering
(1)
Papers
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
ACL 2026
Do Large Language Models Adapt to Language Variation across Socioeconomic Status?
EACL 2026
Effective Performance Measurement: Challenges and Opportunities in KPI Extraction from Earnings Calls
ACL 2026
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages
CVPR 2025
DaKultur: Evaluating the Cultural Awareness of Language Models for Danish with Native Speakers
NAACL 2025
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
ICLR 2025
On-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generation
NAACL 2025
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models
NAACL 2025
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning
ACL 2024
Can Humans Identify Domains?
COLING 2024
Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings
EACL 2024
Entity Linking in the Job Market Domain
EACL 2024
JobSkape: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching
EACL 2024
Learning to Open and Traverse Doors with a Legged Manipulator
CoRL 2024
NNOSE: Nearest Neighbor Occupational Skill Extraction
EACL 2024
Rethinking Skill Extraction in the Job Market Domain using Large Language Models
EACL 2024
Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models
CoRL 2024
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain
ACL 2023
Evidence > Intuition: Transferability Estimation for Encoder Selection
EMNLP 2022
Experimental Standards for Deep Learning in Natural Language Processing Research
EMNLP 2022
SkillSpan: Hard and Soft Skill Extraction from English Job Postings
NAACL 2022
Cartography Active Learning
EMNLP 2021
Grunn2019 at SemEval-2019 Task 5: Shared Task on Multilingual Detection of Hate
SemEval 2019
The Effect of Translationese in Machine Translation Test Sets
ACL 2019