From the 1 of 6 linked papers with an AI index.
6 papers
Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments
Haomin Qi, Xingliang Wang, Xuanqi Gao +9
The paper introduces Change2Task, a system that turns merged pull requests from software repositories into verified, executable coding‑agent tasks by reconstructing the code state…
VeriRAG: A Retrieval-Augmented Framework for Automated RTL Testability Repair
Haomin Qi, Yuyang Du, Lihao Zhang +3
Large language models (LLMs) have demonstrated immense potential in computer-aided design (CAD), particularly for automated debugging and verification within electronic design auto…
TopoEdge: Topology-Grounded Agentic Framework for Edge Networking Code Generation and Repair
Haomin Qi, Bohan Liu, Zihan Dai +1
TopoEdge is a topology-grounded, edge-deployable framework for end-to-end software-defined networking (SDN) configuration generation and repair, motivated by the brittleness of con…
GraphCue for SDN Configuration Code Synthesis
Haomin Qi, Fengfei Yu, Chengbo Huang
We present GraphCue, a topology-grounded retrieval and agent-in-the-loop framework for automated SDN configuration. Each case is abstracted into a JSON graph and embedded using a l…
Governance-Aware Hybrid Fine-Tuning for Multilingual Large Language Models
Haomin Qi, Chengbo Huang, Zihan Dai +1
We present a governance-aware hybrid fine-tuning framework for multilingual, low-resource adaptation of large language models. The core algorithm combines gradient-aligned low-rank…
Hybrid and Unitary PEFT for Resource-Efficient Large Language Models
Haomin Qi, Zihan Dai, Chengbo Huang
Fine-tuning large language models (LLMs) remains a computational bottleneck due to their scale and memory demands. This paper presents a comprehensive evaluation of parameter-effic…