Arnav Singhvi

According to our database, Arnav Singhvi authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning.

Krista Opsahl-Ong, Arnav Singhvi, Jasmine Collins, Ivan Zhou, Cindy Wang, Ashutosh Baheti, Owen Oertell, Jacob Portes, Sam Havens, Erich Elsen, Michael Bendersky, Matei Zaharia, Xing Chen

CoRR, March, 2026

KARL: Knowledge Agents via Reinforcement Learning.

Jonathan D. Chang, Andrew Drozdov, Shubham Toshniwal, Owen Oertell, Alexander Trott, Jacob P. Portes, Abhay Gupta, Pallavi Koppol, Ashutosh Baheti, Sean Kulinski, Ivan Zhou, Irene Dea, Krista Opsahl-Ong, Simon Favreau-Lessard, Sean Owen, Jose Javier Gonzalez Ortiz, Arnav Singhvi, Xabi Andrade, Cindy Wang, Kartik Sreenivasan, Sam Havens, Jialu Liu, Peyton DeNiro, Wen Sun, Michael Bendersky, Jonathan Frankle

CoRR, March, 2026

2025

Structured Prompting Enables More Robust Evaluation of Language Models.

Asad Aali, Muhammad Ahmed Mohsin, Vasiliki Bikia, Arnav Singhvi, Richard Gaus, Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Yifan Mai, Jordan Cahoon, Michael A. Pfeffer, Roxana Daneshjou, Sanmi Koyejo, Emily Alsentzer, Christopher Potts, Nigam H. Shah, Akshay S. Chaudhari

CoRR, November, 2025

Prompt Triage: Structured Optimization Enhances Vision-Language Model Performance on Medical Imaging Benchmarks.

Arnav Singhvi, Vasiliki Bikia, Asad Aali, Akshay Chaudhari, Roxana Daneshjou

CoRR, November, 2025

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

Lakshya A. Agrawal, Shangyin Tan, Dilara Soylu, Noah Ziems, Rishi Khare, Krista Opsahl-Ong, Arnav Singhvi, Herumb Shandilya, Michael J. Ryan, Meng Jiang, Christopher Potts, Koushik Sen, Alexandros G. Dimakis, Ion Stoica, Daniel Klein, Matei Zaharia, Omar Khattab

CoRR, July, 2025

Expert-level validation of AI-generated medical text with scalable language models.

Asad Aali, Vasiliki Bikia, Maya Varma, Nicole Chiou, Sophie Ostmeier, Arnav Singhvi, Magdalini Paschali, Ashwin Kumar, Andrew Johnston, Karimar Amador-Martinez, Eduardo Juan Perez Guerrero, Paola Naovi Cruz Rivera, Sergios Gatidis, Christian Bluethgen, Eduardo Pontes Reis, Eddy D. Zandee van Rilland, Poonam Laxmappa Hosamani, Kevin R. Keet, Minjoung Go, Evelyn Bin Ling, David B. Larson, Curtis P. Langlotz, Roxana Daneshjou, Jason Hom, Sanmi Koyejo, Emily Alsentzer, Akshay S. Chaudhari

CoRR, July, 2025

LangProBe: a Language Programs Benchmark.

Shangyin Tan, Lakshya A. Agrawal, Arnav Singhvi, Liheng Lai, Michael J. Ryan, Dan Klein, Omar Khattab, Koushik Sen, Matei Zaharia

CoRR, February, 2025

LangProBe: a Language Program Benchmark.

Shangyin Tan, Lakshya A. Agrawal, Arnav Singhvi, Liheng Lai, Michael J. Ryan, Daniel Klein, Omar Khattab, Koushik Sen, Matei Zaharia

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines.

Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines.

Arnav Singhvi, Manish Shetty, Shangyin Tan, Christopher Potts, Koushik Sen, Matei Zaharia, Omar Khattab

CoRR, 2023

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts

CoRR, 2023