Chenxi Whitehouse
Scholar

Chenxi Whitehouse

Google Scholar ID: MxJqtPIAAAAJ
Research Scientist at Meta
Natural Language Processing
Citations & Impact
All-time
Citations
599
 
H-index
10
 
i10-index
10
 
Publications
18
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • - Paper: J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning
  • - Paper: MENLO: From Preferences to Proficiency – Evaluating and Modeling Native-like Quality Across 47 Languages
  • - Papers: What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations and Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models accepted at ACL 2025
  • - Paper: PRobELM: Plausibility Ranking Evaluation for Language Models accepted at COLM 2024
  • - Paper: Low-Rank Adaptation for Multilingual Summarisation: An Empirical Study accepted in the findings of NAACL 2024
Research Experience
  • - Research Scientist at Meta, working closely with Jason Weston in the FAIR Alignment team on projects involving reinforcement learning, LLM-as-a-judge, and reward modeling
  • - Visiting researcher at the University of Cambridge, previously a postdoctoral research associate collaborating with Prof. Andreas Vlachos on factuality in NLP
  • - Internship at Google DeepMind, working on multilingual summarization
Education
  • - PhD in Knowledge-Grounded NLP from City, University of London
  • - Master’s degree in Electrical Engineering from the University of Erlangen-Nürnberg and University College London
Background
  • Research interests include large-scale reasoning models, post-training and reinforcement learning, LLM-as-a-judge, and generative reward modeling. Focusing on fundamental AI research, particularly in Large Language Models (LLMs).
Miscellany
  • Actively exploring Senior Research Scientist roles in industry.