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Alex Mathai

3 accepted papers

2026

Outrunning LLM Cutoffs: A Live Kernel Crash Resolution Benchmark for All

ICML 2026poster

Repairing system crashes discovered by kernel fuzzers like Syzkaller is a critical yet underexplored challenge in software engineering. While recent works have introduced Large Language Model (LLM) based agents for Linux kernel crash-resolution, their evaluation benchmarks are usually static and thu…

Cited by 0SourceScholar
2024

kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution

NeurIPS 2024poster

Large Language Models (LLMs) are consistently improving at increasingly realistic software engineering (SE) tasks. In real-world software stacks, significant SE effort is spent developing foundational system software like the Linux kernel. Unlike application-level software, a systems codebase like…

Cited by 1SourcePDFScholar
2022

Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network

IJCAI 2022poster

Monolithic software encapsulates all functional capabilities into a single deployable unit. But managing it becomes harder as the demand for new functionalities grow. Microservice architecture is seen as an alternative as it advocates building an application through a set of loosely coupled small se…