1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2026
BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization
Iris Xu, Guangtao Zeng, Zexue He +5
Large language models (LLMs) have shown strong reasoning and coding capabilities, yet they struggle to generalize to real-world software engineering (SWE) problems that are long-ho…
cs.CL2024★ 1 cited
Latent Causal Probing: A Formal Perspective on Probing with Causal Models of Data
Charles Jin, Martin Rinard
As language models (LMs) deliver increasing performance on a range of NLP tasks, probing classifiers have become an indispensable technique in the effort to better understand their…
stat.ML2020
Manifold Regularization for Locally Stable Deep Neural Networks
Charles Jin, Martin Rinard
We apply concepts from manifold regularization to develop new regularization techniques for training locally stable deep neural networks. Our regularizers are based on a sparsifica…