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Xiangxi Mo — most-cited papers & profile · Large Language Models
← authors
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overview
Xiangxi Mo
5
papers ·
0
citations ·
6
h-index
Berkeley College · University of California, Berkeley
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Most-cited papers
When to Reason: Semantic Router for vLLM
2025
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!
2025
Pie: Pooling CPU Memory for LLM Inference
2024
Top co-authors
Ion Stoica
· 2
Shu Liu
· 2
Chen Wang
· 1
Dacheng Li
· 1
Eric Tang
· 1
Huamin Chen
· 1
Joseph E. Gonzalez
· 1
Junchen Jiang
· 1
Kourosh Hakhamaneshi
· 1
Matei Zaharia
· 1
Shishir G. Patil
· 1
Shiyi Cao
· 1
Topics
Efficiency
Evaluation
In-Context Learning
reasoning
Reasoning
Training Techniques
Fine-Tuning