For our EuroSys'26 paper - CSnake: Detecting Self-Sustaining Cascading Failure via Causal Stitching of Fault Propagations - by Shangshu Qian, Lin Tan, Yongle Zhang

Automatic code comment generation using Stack Overflow

Utilizing code clone detection to generate comments automatically.

For SANER25 paper "How Effective are Large Language Models in Generating Software Specifications?" by Danning Xie, Byoungwoo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, and Judy Lee

For our ICRA 2025 paper "SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models" by Yi Wu, Zikang Xiong, Yiran Hu, Shreyash Iyengar, Nan Jiang, Aniket Bera, Lin …

This is the CRS (Cyber Reasoning System) submitted by team "Healing Touch" in the DARPA AIxCC semi-final competition in 2024.

For our AAAI25 paper LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement by Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, and Lin Tan

For our ACL25 Paper: Can Language Models Replace Programmers? RepoCod Says ‘Not Yet’ - by Shanchao Liang and Yiran Hu and Nan Jiang and Lin Tan

For ACL25 paper "WAFFLE: Multi-Modal Model for Automated Front-End Development" - by Shanchao Liang and Nan Jiang and Shangshu Qian and Lin Tan

For our CCS24 paper 🏆 "ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries" by Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, Lin Tan, and Xiangyu Zhang. …

For our SANER-industrial 2024 paper "CEDAR: Continuous Testing of Deep Learning Libraries" by Danning Xie, Jiannan Wang, Hung Viet Pham, Lin Tan, Yu Guo, Adnan Aziz, and Erik Meijer.

"D3: Differential Testing of Distributed Deep Learning with Model Generation" by Jiannan Wang, Hung Viet Pham, Qi Li, Lin, Tan, Yu Guo, Adnan Aziz, and Erik Meijer.

For our ISSTA23 paper "How Effective are Neural Networks for Fixing Security Vulnerabilities?" by Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, and Sameen…

The First International Workshop on Large Language Model for Code 2024 (Co-Located with ICSE 2024)

For our ASE23 Paper "Vicious Cycles in Distributed Software Systems" by Shangshu Qian, Wen Fan, Lin Tan, and Yongle Zhang

For our ISSTA22 paper "DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions" by Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Mike Godfrey

For our ICSE23 paper "Impact of Code Language Models on Automated Program Repair" by Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan

For our ICSE23 paper "KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair" by Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, and Xiangyu Zhang

For our AAAI23 paper "DisGUIDE: Disagreement-Guided Data-Free Model Extraction" (Oral Presentation) by Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, and Lin Tan.

For our ICSE22 paper "EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries" by Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, and Lin Tan.

TorchRec (Beta Release) - with coverage measurement and additional tests

A web app for ranking computer science departments according to their research output in selective venues.

For our ISSTA20 paper "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair" by Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei and Li…

For our ICSE21 paper "CURE: Code-Aware Neural Machine Translation for Automatic Program Repair" by Nan Jiang, Thibaud Lutellier, and Lin Tan

For our NeurIPS21 paper "Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training" by Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Y…

For our ASE20 paper 🏆 "Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance" (🏆 Distinguished Paper Award!) by Hung Viet Pham, Shangshu Qian, Jiannan Wang,…