Ansong Ni

Researcher, Meta AI

Joined

June 2020

Names

Ansong Ni (Preferred)

Emails

****@gmail.com (Confirmed)

****@yale.edu (Confirmed)

****@meta.com (Confirmed)

Personal Links

Career & Education History

Researcher

Meta AI (meta.com)

2024 – Present

PhD student

Computer Science, Yale University (yale.edu)

2020 – 2024

MS student

Computer Science, Carnegie Mellon University (cmu.edu)

2018 – 2020

Undergrad student

Software Institute, Nanjing University (nju.edu.cn)

2014 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Arman Cohan

2023 – 2024

PhD Advisor

Dragomir Radev

2020 – 2023

Expertise

semantic parsing

Present

program synthesis

Present

natural language processing

Present

code generation

Present

large language models

Present

Publications

Learning to Interrupt in Language-based Multi-agent Communication
Danqing Wang, Da Yin, Ruta Desai, Lei Li, Asli Celikyilmaz, Ansong Ni
- Submitted to ICLR 2026
- Readers: Everyone
Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
Ansong Ni, Ruta Desai, Yang Li, Xinjie Lei, Dong Wang, Jiemin Zhang, Jane Yu, Ramya Raghavendra, Gargi Ghosh, Shang-Wen Li, Asli Celikyilmaz
- NeurIPS 2025 poster
- Readers: Everyone
PrefPalette: Personalized Preference Modeling with Latent Attributes
Shuyue Stella Li, Melanie Sclar, Hunter Lang, Ansong Ni, Jacqueline He, Puxin Xu, Andrew Cohen, Chan Young Park, Yulia Tsvetkov, Asli Celikyilmaz
- COLM 2025
- Readers: Everyone
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xiong Xinzhuang, Hanchong Zhang, Wenjing Hu, Yuchen Mao, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong et al. (3 additional authors not shown)
- NeurIPS 2024 Track Datasets and Benchmarks Spotlight
- Readers: Everyone
NExT: Teaching Large Language Models to Reason about Code Execution
Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin
- ICML 2024 Poster
- Readers: Everyone
LEVER: Learning to Verify Language-to-Code Generation with Execution
Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-tau Yih, Sida Wang, Xi Victoria Lin
- ICML 2023 Poster
- Readers: Everyone
LEVER: Learning to Verify Language-to-Code Generation with Execution
Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
- 2023 (modified: 24 Apr 2023)
- CoRR 2023
- Readers: Everyone
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao
- Published: 01 Feb 2023, Last Modified: 01 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang et al. (3 additional authors not shown)
- 2022 (modified: 09 Feb 2022)
- CoRR 2022
- Readers: Everyone
Explicit Knowledge Transfer for Weakly-Supervised Code Generation
Zhangir Azerbayev, Ansong Ni, Hailey Schoelkopf, Dragomir Radev
- 2022 (modified: 25 Apr 2023)
- CoRR 2022
- Readers: Everyone

View all 19 publications

Co-Authors

View all 95 co-authors