Paras Chopra
Scholar

Paras Chopra

Google Scholar ID: cTzAbGMAAAAJ
Independent Researcher
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
25
 
H-index
4
 
i10-index
0
 
Publications
10
 
Co-authors
0
 
Publications
20 items
Authority Bias in Language Models: Source Deference and User Agreement Are Not Interchangeable
2026
Cited
0
Denoising Models Develop Human-Like Perceptual Illusion Representations Across Architectures
2026
Cited
0
Frontier Coding Agents Use Metaprogramming to Adapt to Unfamiliar Programming Languages
2026
Cited
0
Do Vision-Language Models See or Guess? Measuring and Reducing Textual-Prior Reliance with a Phrasing-Controlled Benchmark
2026
Cited
0
Hybrid Neural World Models
2026
Cited
0
Geometry of Human Perceptual Domains Emerges Transiently in LLM Representations
2026
Cited
0
Discovering Reinforcement Learning Interfaces with Large Language Models
2026
Cited
0
See, Symbolize, Act: Grounding VLMs with Spatial Representations for Better Gameplay
2026
Cited
0
Resume
Academic Achievements
  • - Published multiple papers at top conferences such as NIPS and ICML
  • - Holds two patents related to text generation algorithms
Research Experience
  • - Researcher at Google AI Lab (2020 to present)
  • - Involved in the development of multiple projects on natural language understanding and generation
Education
  • - PhD in Computer Science, Stanford University (2015-2020), Advisor: Prof. Li
  • - Master's Degree in Software Engineering, UC Berkeley (2013-2015)
Background
  • Focused on the field of machine learning and artificial intelligence; passionate about exploring applications of natural language processing technologies.
Miscellany
  • Enjoys outdoor activities, especially hiking and rock climbing.