Shicheng Liu

PhD student, Stanford University

Joined

June 2023

Names

Shicheng Liu (Preferred)

Emails

****@cs.stanford.edu (Confirmed)

Personal Links

Career & Education History

PhD student

Stanford University (stanford.edu)

2022 – Present

Intern

Facebook (meta.com)

2025 – 2025

Undergrad student

University of Chicago (uchicago.edu)

2018 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Monica S. Lam

2022 – Present

Expertise

No areas of expertise listed

Publications

SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning
Shicheng Liu, Kai Sun, Lisheng Fu, Xilun Chen, Xinyuan Zhang, Zhaojiang Lin, Rulin Shao, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
- ICLR 2026 Poster
- Readers: Everyone
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions
Shicheng Liu, Sina Semnani, Harold Triedman, Jialiang Xu, Isaac Dan Zhao, Monica Lam
- EMNLP 2024
- Readers: Everyone
Coding Reliable LLM-based Integrated Task and Knowledge Agents with GenieWorksheets
Harshit Joshi, Shicheng Liu, James Chen, Larsen Weigle, Monica Lam
- Submitted to ICLR 2025
- Readers: Everyone
Keeper: Automated Testing and Fixing of Machine Learning Software
Chengcheng Wan, Shicheng Liu, Sophie Xie, Yuhan Liu, Henry Hoffmann, Michael Maire, Shan Lu
- ACM Trans. Softw. Eng. Methodol. 2024
- Readers: Everyone
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions
Shicheng Liu, Sina J. Semnani, Harold Triedman, Jialiang Xu, Isaac Dan Zhao, Monica S. Lam
- EMNLP (Findings) 2024
- Readers: Everyone
SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models
Shicheng Liu, Jialiang Xu, Wesley Tjangnaka, Sina J. Semnani, Chen Jie Yu, Monica Lam
- NAACL-HLT (Findings) 2024
- Readers: Everyone
SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing
Heidi C. Zhang, Sina J. Semnani, Farhad Ghassemi, Jialiang Xu, Shicheng Liu, Monica S. Lam
- ACL (Findings) 2024
- Readers: Everyone
Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata
Silei Xu, Shicheng Liu, Theo Culhane, Elizaveta Pertseva, Meng-Hsi Wu, Sina Semnani, Monica Lam
- EMNLP 2023 Main
- Readers: Everyone
Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata
Silei Xu, Shicheng Liu, Theo Culhane, Elizaveta Pertseva, Meng-Hsi Wu, Sina J. Semnani, Monica S. Lam
- Published: 01 Jan 2023, Last Modified: 22 Jan 2024
- EMNLP 2023
- Readers: Everyone

Co-Authors

View all 34 co-authors