Julia Taylor Rayz
Computer Science · Purdue University West Lafayette
Publications
89
Citations
302
Est. group size
~3
Recurring co-author estimate
Active years
11
Publishing since 2016
Julia Taylor Rayz works in computational linguistics and natural language processing, studying how computer models understand meaning, concepts, and language structure. Her work examines whether language models (such as those behind chatbots) can learn human-like knowledge about word meanings, categories, typical properties of objects, time, and even emotional content like sentiment or emojis. She also applies these techniques to practical problems such as detecting phishing emails, stereotypes in news, and misspellings.
Publication output rose notably around 2020-2021 and has since settled back to a more moderate, steady pace in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Compound Noun Phrase Similarity in Bidirectional Transformer Language Models
2025
- Structured yet Bounded Temporal Understanding in Large Language Models
arXiv (Cornell University) · 2025
- Introduction to the Minitrack on AI System Evaluation
ScholarSpace (University of Hawaii at Manoa) · 2025
- Embodied Language Learning: Opportunities, Challenges, and Future Directions
2024
- COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models
2023
- LMs go Phishing: Adapting Pre-trained Language Models to Detect Phishing Emails
2022
- A Property Induction Framework for Neural Language Models
arXiv (Cornell University) · 2022
- Recent Advances in Cognitive Informatics and Cognitive Computing towards Autonomous Systems (Plenary Panel Report-II of IEEE ICCI*CC'22)
2022
- Examining Stereotypes in News Articles
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · 2022
- Figure Descriptive Text Extraction using Ontological Representation
arXiv (Cornell University) · 2022
- COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models
arXiv (Cornell University) · 2022
- Can Visual Linguistic Models become Knowledge Bases: A Prompt Learning Framework for Size Perception
2022
- Understanding Emojis for Sentiment Analysis
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · 2021
- Misspelling Correction with Pre-trained Contextual Language Model
arXiv (Cornell University) · 2021
- Tracing Topic Transitions with Temporal Graph Clusters
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · 2021
- arXiv (Cornell University)×25
- Proceedings of the ... International Florida Artificial Intelligence Research Society Conference×5
- Lecture notes in networks and systems×4
- Advances in intelligent systems and computing×3
- Zenodo (CERN European Organization for Nuclear Research)×2
- Kai Zhang
Computer Science · The Ohio State University
- Mo Yu
Computer Science · Indiana University
- He Zhou
Computer Science · Indiana University
- Huan Sun
Computer Science · The Ohio State University
- Weixuan Wang
Computer Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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