Scholar
Weixin Liang
Google Scholar ID: 7z9P1jYAAAAJ
Stanford Univerisity
Large Language Model (LLM)
Societal impact of LLM
Multi-modal LLM
Mixture-of-Experts
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Citations & Impact
All-time
Citations
3,853
H-index
24
i10-index
32
Publications
20
Co-authors
18
list available
Contact
No contact links provided.
Publications
11 items
Human-AI Collaboration in Science at Scale: A Global Large-scale Randomized Field Experiment
2026
Cited
0
Closing the Modality Gap for Mixed Modality Search
2025
Cited
0
Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
2025
Cited
0
From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review
2025
Cited
0
ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code
2025
Cited
0
Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors
2025
Cited
0
The Widespread Adoption of Large Language Model-Assisted Writing Across Society
2025
Cited
0
Adaptive Self-improvement LLM Agentic System for ML Library Development
2025
Cited
0
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Resume (English only)
Co-authors
18 total
James Zou
Stanford University
Yongchan Kwon
Columbia University
Co-author 3
Li Fei-Fei
Professor of Computer Science, Stanford University
Matei Zaharia
UC Berkeley and Databricks
Daniel E. Ho
Stanford University
Zhou Yu
Columbia University
Roxana Daneshjou, MD, PhD
Assistant Professor of Biomedical Data Science and Dermatology, Stanford University
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