Apurva Gandhi

According to our database, Apurva Gandhi authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CodeScout: An Effective Recipe for Reinforcement Learning of Code Search Agents.

Lintang Sutawika, Aditya Bharat Soni, Bharath Sriraam R. R, Apurva Gandhi, Taha Yassine, Sanidhya Vijayvargiya, Yuchen Li, Xuhui Zhou, Yilin Zhang, Leander Melroy Maben, Graham Neubig

CoRR, March, 2026

2025

Training Versatile Coding Agents in Synthetic Environments.

Yiqi Zhu, Apurva Gandhi, Graham Neubig

CoRR, December, 2025

Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents.

Yueqi Song, Ketan Ramaneti, Zaid Sheikh, Ziru Chen, Boyu Gou, Tianbao Xie, Yiheng Xu, Danyang Zhang, Apurva Gandhi, Fan Yang, Joseph Liu, Tianyue Ou, Zhihao Yuan, Frank Xu, Shuyan Zhou, Xingyao Wang, Xiang Yue, Tao Yu, Huan Sun, Yu Su, Graham Neubig

CoRR, October, 2025

Go-Browse: Training Web Agents with Structured Exploration.

Apurva Gandhi, Graham Neubig

CoRR, June, 2025

SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills.

Boyuan Zheng, Michael Y. Fatemi, Xiaolong Jin, Zora Zhiruo Wang, Apurva Gandhi, Yueqi Song, Yu Gu, Jayanth Srinivasa, Gaowen Liu, Graham Neubig, Yu Su

CoRR, April, 2025

Inducing Programmatic Skills for Agentic Tasks.

Zora Zhiruo Wang, Apurva Gandhi, Graham Neubig, Daniel Fried

CoRR, April, 2025

AgentDiagnose: An Open Toolkit for Diagnosing LLM Agent Trajectories.

Tianyue Ou, Wanyao Guo, Apurva Gandhi, Graham Neubig, Xiang Yue

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2023

Natural Language Commanding via Program Synthesis.

Apurva Gandhi, Thong Q. Nguyen, Huitian Jiao, Robert Steen, Ameya Bhatawdekar

CoRR, 2023

The Tensor Data Platform: Towards an AI-centric Database System.

Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jesús Camacho-Rodríguez, Matteo Interlandi

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2022

Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem.

Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi

Proc. VLDB Endow., 2022

SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content.

Apurva Gandhi, Ryan Serrao, Biyi Fang, Gilbert Antonius, Jenna Hong, Tra My Nguyen, Sheng Yi, Ehi Nosakhare, Irene Shaffer, Soundararajan Srinivasan, Vivek Gupta

CoRR, 2022

Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem.

Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Dong He, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi

CoRR, 2022

SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content.

Apurva Gandhi, Ryan Serrao, Biyi Fang, Gilbert Antonius, Jenna Hong, Tra My Nguyen, Sheng Yi, Ehi Nosakhare, Irene Shaffer, Soundararajan Srinivasan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2020

Adversarial Perturbations Fool Deepfake Detectors.

Apurva Gandhi, Shomik Jain

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020