Models and data from "Scaling Reasoning can Improve Factuality in
Large Language Models".
Mike Zhang PRO
jjzha
AI & ML interests
Natural Language Processing, NLP Applications, NLP x HR, NLP x Education
Organizations
Exams parsed from Dutch and Danish sources
Models for skill (span) extraction from, e.g., job ads in different languages
-
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain
Paper • 2305.12092 • Published • 1 -
jjzha/esco-xlm-roberta-large
Fill-Mask • 0.6B • Updated • 146 • 16 -
jjzha/escoxlmr_skill_extraction
Token Classification • 0.6B • Updated • 1.08k • 4 -
jjzha/escoxlmr_knowledge_extraction
Token Classification • 0.6B • Updated • 510 • 1
Models and data corresponding to the SEFL paper
-
SEFL: Harnessing Large Language Model Agents to Improve Educational Feedback Systems
Paper • 2502.12927 • Published • 1 -
jjzha/sefl
Viewer • Updated • 19.8k • 22 -
jjzha/Qwen2.5-0.5B-Instruct-SEFL
Text Generation • 0.5B • Updated • 13 -
jjzha/Llama-3.2-1B-Instruct-SEFL
Text Generation • 1B • Updated • 14
Models for Skill Extraction from, e.g., job advertisements
-
SkillSpan: Hard and Soft Skill Extraction from English Job Postings
Paper • 2204.12811 • Published • 2 -
Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning
Paper • 2205.01381 • Published -
jjzha/jobbert-base-cased
Fill-Mask • 0.1B • Updated • 1.64k • • 19 -
jjzha/jobberta-base
Fill-Mask • 0.1B • Updated • 23 • 13
Datasets annotated for skill (spans) in sentences, usually from job ads.
Models and data from "Scaling Reasoning can Improve Factuality in
Large Language Models".
Models and data corresponding to the SEFL paper
-
SEFL: Harnessing Large Language Model Agents to Improve Educational Feedback Systems
Paper • 2502.12927 • Published • 1 -
jjzha/sefl
Viewer • Updated • 19.8k • 22 -
jjzha/Qwen2.5-0.5B-Instruct-SEFL
Text Generation • 0.5B • Updated • 13 -
jjzha/Llama-3.2-1B-Instruct-SEFL
Text Generation • 1B • Updated • 14
Exams parsed from Dutch and Danish sources
Models for Skill Extraction from, e.g., job advertisements
-
SkillSpan: Hard and Soft Skill Extraction from English Job Postings
Paper • 2204.12811 • Published • 2 -
Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning
Paper • 2205.01381 • Published -
jjzha/jobbert-base-cased
Fill-Mask • 0.1B • Updated • 1.64k • • 19 -
jjzha/jobberta-base
Fill-Mask • 0.1B • Updated • 23 • 13
Models for skill (span) extraction from, e.g., job ads in different languages
-
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain
Paper • 2305.12092 • Published • 1 -
jjzha/esco-xlm-roberta-large
Fill-Mask • 0.6B • Updated • 146 • 16 -
jjzha/escoxlmr_skill_extraction
Token Classification • 0.6B • Updated • 1.08k • 4 -
jjzha/escoxlmr_knowledge_extraction
Token Classification • 0.6B • Updated • 510 • 1
Datasets annotated for skill (spans) in sentences, usually from job ads.