Steve Lim

According to our database, Steve Lim authored at least 3 papers between 2020 and 2023.

Collaborative distances:

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

2023

Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning.

Sara Abdali, Anjali Parikh, Steve Lim, Emre Kiciman

CoRR, 2023

FRR-Net: A Real-Time Blind Face Restoration and Relighting Network.

Samira Pouyanfar, Sunando Sengupta, Mahmoud Mohammadi, Ebey Abraham, Brett Bloomquist, Lukas Dauterman, Anjali Parikh, Steve Lim, Eric Sommerlade

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2020

DRIFT: Deep Reinforcement Learning for Functional Software Testing.

Luke Harries, Rebekah Storan Clarke, Timothy Chapman, Swamy V. P. L. N. Nallamalli, Levent Özgür, Shuktika Jain, Alex Leung, Steve Lim, Aaron Dietrich, José Miguel Hernández-Lobato, Tom Ellis, Cheng Zhang, Kamil Ciosek

CoRR, 2020