Chen Shani
Scholar

Chen Shani

Google Scholar ID: jQzR-IwAAAAJ
Postdoctorate Researcher, Stanford University
NLPHuman-centered AI
Citations & Impact
All-time
Citations
249
 
H-index
7
 
i10-index
5
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • Findings demonstrate the potential of integrating human-inspired perspectives to advance NLP and create more human-like models.
Research Experience
  • Post-doctoral Researcher at Stanford University, working with Professor Dan Jurafsky and Professor Jennifer Eberhardt. Ex-Amazonian, co-founded a team aimed to automatically enhance Alexa's sense of humor. Occasionally consults start-up companies.
Education
  • Ph.D. from the Hebrew University of Jerusalem, supervised by Professor Dafna Shahaf. Ph.D. focused on designing NLP architectures that incorporate principles from human cognition, with a specific interest in NLP tasks related to subjective human qualities: humor, playfulness, personification, and creativity.
Background
  • Research interests: at the intersection of natural language processing (NLP) and human cognition. Aims to improve language models by drawing inspiration from human cognition. Past research focused on subjective human qualities such as humor, playfulness, personification, and creativity. Currently focuses on shifting language models from the token- to the concept level, addressing the problem of spurious correlations in token-based objectives.
Miscellany
  • Collaborations, thoughts, and brainstorming are welcome. Feel free to reach out.