Scholar
Ansong Ni
Google Scholar ID: 4IA1clAAAAAJ
PhD Student, Yale University
Machine Learning
Natural Language Processing
Software Engineering
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Citations & Impact
All-time
Citations
1,575
H-index
15
i10-index
18
Publications
20
Co-authors
14
list available
Contact
Email
ansong.ni@yale.edu
CV
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GitHub
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Publications
3 items
Learning to Interrupt in Language-based Multi-agent Communication
2026
Cited
0
Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework
2025
Cited
0
PrefPalette: Personalized Preference Modeling with Latent Attributes
2025
Cited
0
Resume (English only)
Academic Achievements
Published multiple papers at top-tier conferences including ICML’23, ICLR’23, EMNLP’22/21, ICSE’21, and AAAI’20.
Notable works include:
- "NExT: Teaching Large Language Models to Reason about Code Execution" (Preprint)
- "L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models" (Preprint)
- "LEVER: Learning to Verify Language-to-Code Generation with Execution" (ICML’23)
- "Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions" (ICLR’23)
- "SummerTime: Text Summarization Toolkit for Non-experts" (EMNLP’21 Demo Track, >230 GitHub stars)
- "SOAR: A Synthesis Approach for Data Science API Refactoring" (ICSE’21)
- "Merging Weak and Active Supervision for Semantic Parsing" (AAAI’20)
Several papers list him as co-first author (*).
Invited speaker for guest lectures at Yale University (Dec 2023) and HKU (Apr 2024).
Research Experience
Research Scientist at Meta FAIR.
Research internships at:
- Google DeepMind (Summer 2023)
- Meta AI (Summer 2022)
- MSR Redmond (Summer 2021)
- AI2 (Summer 2020)
- MSR Asia (Summer and Fall 2017)
Co-authors
14 total
Dragomir Radev
Professor, Computer Science, Yale University
Pengcheng Yin
Google Deepmind
Tao Yu
Assistant Professor, Computer Science, University of Hong Kong
Sida I. Wang
Facebook AI
Arman Cohan
Yale University; Allen Institute for AI
Xi Victoria Lin
Thinking Machines Lab
Ming Li
Nanjing University
Oleksandr Polozov
Google DeepMind