Avanika Narayan

According to our database, Avanika Narayan authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

Automating the Enterprise with Foundation Models.

Michael Wornow, Avanika Narayan, Krista Opsahl-Ong, Quinn McIntyre, Nigam Shah, Christopher Ré

Proc. VLDB Endow., July, 2024

Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates.

Avanika Narayan, Mayee F. Chen, Kush Bhatia, Christopher Ré

CoRR, 2024

Do Multimodal Foundation Models Understand Enterprise Workflows? A Benchmark for Business Process Management Tasks.

Michael Wornow, Avanika Narayan, Ben Viggiano, Ishan S. Khare, Tathagat Verma, Tibor Thompson, Miguel Angel Fuentes Hernandez, Sudharsan Sundar, Chloe Trujillo, Krrish Chawla, Rongfei Lu, Justin Shen, Divya Nagaraj, Joshua Martinez, Vardhan Agrawal, Althea Hudson, Nigam H. Shah, Christopher Ré

CoRR, 2024

2023

Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes.

Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré

Proc. VLDB Endow., 2023

TART: A plug-and-play Transformer module for task-agnostic reasoning.

Kush Bhatia, Avanika Narayan, Christopher De Sa, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Ask Me Anything: A simple strategy for prompting language models.

Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher Ré

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Can Foundation Models Wrangle Your Data?

Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré

Proc. VLDB Endow., 2022

Ask Me Anything: A simple strategy for prompting language models.

Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré

CoRR, 2022

Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent.

Ethan A. Chi, Ashwin Paranjape, Abigail See, Caleb Chiam, Kathleen Kenealy, Swee Kiat Lim, Amelia Hardy, Chetanya Rastogi, Haojun Li, Alexander Iyabor, Yutong He, Hari Sowrirajan, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Jillian Tang, Avanika Narayan, Giovanni Campagna, Christopher D. Manning

CoRR, 2022

Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent.

Ethan A. Chi, Ashwin Paranjape, Abigail See, Caleb Chiam, Trenton Chang, Kathleen Kenealy, Swee Kiat Lim, Amelia Hardy, Chetanya Rastogi, Haojun Li, Alexander Iyabor, Yutong He, Hari Sowrirajan, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Jillian Tang, Avanika Narayan, Giovanni Campagna, Christopher D. Manning

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning.

Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré

Proceedings of the International Conference on Machine Learning, 2022

2021

Personalized Benchmarking with the Ludwig Benchmarking Toolkit.

Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2019

Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels.

Daniel Y. Fu, Will Crichton, James Hong, Xinwei Yao, Haotian Zhang, Anh Truong, Avanika Narayan, Maneesh Agrawala, Christopher Ré, Kayvon Fatahalian

CoRR, 2019