57 citations · 59 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Thinkquel: A Model Dedicated to Text-to-dbt Using Synthetic Data and a Span-Aware Objective
Anni Li, Aria Attar, Paul Dong
Transforming natural-language requests into reliable, production-ready data transformations remains challenging: correctness depends on precise schema linking and warehouse-specifi…
hep-ex2023★ 2 cited
Induced Generative Adversarial Particle Transformers
Anni Li, Venkat Krishnamohan, Raghav Kansal +4
In high energy physics (HEP), machine learning methods have emerged as an effective way to accurately simulate particle collisions at the Large Hadron Collider (LHC). The message-p…
hep-ex2022★ 57 cited
Evaluating generative models in high energy physics
Raghav Kansal, Anni Li, Javier Duarte +4
There has been a recent explosion in research into machine-learning-based generative modeling to tackle computational challenges for simulations in high energy physics (HEP). In or…