Hinrich Schütze
Scholar

Hinrich Schütze

Google Scholar ID: qIL9dWUAAAAJ
University of Munich
natural language processing
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
34,612
 
H-index
62
 
i10-index
252
 
Publications
20
 
Co-authors
0
 
Publications
63 items
Orthogonal Yet Coupled: Decoupling Geometric Components for Model Merging
2026
Cited
0
Weakening Neurons: An Input-Output Functionality in Transformers with Outsize Influence
2026
Cited
0
FramingQA: Does the Question Shape the Answer? Measuring the Compositional Framing Effect
2026
Cited
0
A Systematic Evaluation of Cross-Lingual Consistency Enhancement Methods in Multilingual Language Models
2026
Cited
0
A Target-Centric Survey of Quantization-Aware Training
2026
Cited
0
MemWM: Memory-Augmented Text-Based World Model
2026
Cited
0
The Boundaries of Automation: A Theory of Persistent Human Participation
2026
Cited
0
Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models
2026
Cited
0
Resume
Academic Achievements
  • - Published 'Applications of Deep Learning in NLP' in the top international journal 'Natural Language Engineering'
  • - Received Best Paper Award in 2021
Research Experience
  • - Senior Researcher at XX Lab, 2020-Present
  • - Involved in the National Natural Science Foundation project on 'Optimization of Deep Learning Algorithms for Large-Scale Data', 2018-2020
Education
  • - Ph.D., XX University, Advisor: Prof. Zhang, 2015-2020, Major: Computer Science
  • - M.S., YY University, 2010-2013, Major: Software Engineering
Background
  • Research interests include artificial intelligence, machine learning, and natural language processing. Holds a Ph.D. in Computer Science.
Miscellany
  • Enjoys hiking and reading science fiction novels.