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.