Paramita Mirza
Scholar

Paramita Mirza

Google Scholar ID: lM5eOb4AAAAJ
ScaDS.AI, TU Dresden
Natural Language ProcessingComputational LinguisticsLarge Language Models
Citations & Impact
All-time
Citations
838
 
H-index
13
 
i10-index
17
 
Publications
20
 
Co-authors
0
 
Resume
Academic Achievements
  • - August 21, 2025: Paper “Stratified Selective Sampling for Instruction Tuning with Dedicated Scoring Strategy” (with Lucas Weber and Fabian Küch) accepted at EMNLP 2025 (Findings).
  • - July 22, 2025: Paper “Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs” (within OpenGPT-X) accepted at ECAI 2025.
  • - February 20, 2024: Paper “ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler” (with Viju Sudhi, Soumya Sahoo, and Sinchana Ramakanth Bhat) accepted at LREC-COLING 2024.
Research Experience
  • - Since August 1, 2025: Researcher at the Transfer and Service Center of ScaDS.AI Dresden.
Background
  • Research Interests: Computational Linguistics, Natural Language Processing, Data Analysis. Professional Field: Machine Learning, particularly in the pre- and post-training stages of Large Language Models. Background: From Indonesia, passionate about learning languages, focusing on exploring how humans and AI use language to represent, share, and understand knowledge.
Miscellany
  • Personal Interests: Passionate about learning languages.