Scholar
Lei Xu
Google Scholar ID: lkF92IsAAAAJ
Amazon AWS AI Labs; MIT
Citations & Impact
Citations
5,004
H-index
11
i10-index
12
Publications
20
Co-authors
20
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications: ICLR 2025 'Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge'; AAAI 2025 (oral) 'CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation'; EMNLP 2024 Industry Track 'Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization'; ACL 2024 main conference 'ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models'.
Research Experience
- Applied Scientist at Amazon AWS. Research projects include robustness of text classifiers and synthetic tabular generation.
Education
- Ph.D. in Computer Science from MIT in 2023; B.Eng. from Tsinghua University.
Background
- Research interests include natural language processing and machine learning. Recent work focuses on the application of large language models in the medical domain. Long-term objective is to pave the way for robust and deployable LLM applications, addressing challenges such as improving data quality, optimizing task-specific model performance, and developing reliable evaluation methods.
