most citedImpact of Code Language Models on Automated Program Repair

14 citations · 18 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci20231 cited

Full-scale field-free spin-orbit switching of the CoPt layer grown on vicinal substrates

Luo Yongming, Liang Mengfan, Feng Zhongshu +12

A simple, reliable and field-free spin orbit torque (SOT)-induced magnetization switching is a key ingredient for the development of the electrical controllable spintronic devices.…

cs.LG2023

Offline Learning in Markov Games with General Function Approximation

Yuheng Zhang, Yu Bai, Nan Jiang

We study offline multi-agent reinforcement learning (RL) in Markov games, where the goal is to learn an approximate equilibrium -- such as Nash equilibrium and (Coarse) Correlated…

cs.LG2023

Reinforcement Learning in Low-Rank MDPs with Density Features

Audrey Huang, Jinglin Chen, Nan Jiang

MDPs with low-rank transitions -- that is, the transition matrix can be factored into the product of two matrices, left and right -- is a highly representative structure that enabl…

math.OC20231 cited

ALSO-X#: Better Convex Approximations for Distributionally Robust Chance Constrained Programs

Nan Jiang, Weijun Xie

This paper studies distributionally robust chance constrained programs (DRCCPs), where the uncertain constraints must be satisfied with at least a probability of a prespecified thr…

cs.SE202314 cited

Impact of Code Language Models on Automated Program Repair

Nan Jiang, Kevin Liu, Thibaud Lutellier +1

Automated program repair (APR) aims to help developers improve software reliability by generating patches for buggy programs. Although many code language models (CLM) are developed…

cs.SE20232 cited

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair

Nan Jiang, Thibaud Lutellier, Yiling Lou +3

Automated Program Repair (APR) improves software reliability by generating patches for a buggy program automatically. Recent APR techniques leverage deep learning (DL) to build mod…