6 citations · 6 across the 4 of their papers we have counts for
4 papers
ACECODER: Acing Coder RL via Automated Test-Case Synthesis
Huaye Zeng, Dongfu Jiang, Haozhe Wang +3
Most progress in recent coder models has been driven by supervised fine-tuning (SFT), while the potential of reinforcement learning (RL) remains largely unexplored, primarily due t…
Static Batching of Irregular Workloads on GPUs: Framework and Application to Efficient MoE Model Inference
Yinghan Li, Yifei Li, Jiejing Zhang +13
It has long been a problem to arrange and execute irregular workloads on massively parallel devices. We propose a general framework for statically batching irregular workloads into…
An Operational Perspective to Fairness Interventions: Where and How to Intervene
Brian Hsu, Xiaotong Chen, Ying Han +2
As AI-based decision systems proliferate, their successful operationalization requires balancing multiple desiderata: predictive performance, disparity across groups, safeguarding…
TE2Rules: Explaining Tree Ensembles using Rules
G Roshan Lal, Xiaotong Chen, Varun Mithal
Tree Ensemble (TE) models, such as Gradient Boosted Trees, often achieve optimal performance on tabular datasets, yet their lack of transparency poses challenges for comprehending…