9 citations · 28 across the 15 of their papers we have counts for
3 papers · 1 filter
Model-Agnostic Correctness Assessment for LLM-Generated Code via Dynamic Internal Representation Selection
Thanh Trong Vu, Tuan-Dung Bui, Thu-Trang Nguyen +2
Large Language Models (LLMs) have demonstrated impressive capabilities in code generation and are increasingly integrated into the software development process. However, ensuring t…
CABENCH: Benchmarking Composable AI for Solving Complex Tasks through Composing Ready-to-Use Models
Tung-Thuy Pham, Duy-Quan Luong, Minh-Quan Duong +4
Composable AI offers a scalable and effective paradigm for tackling complex AI tasks by decomposing them into sub-tasks and solving each sub-task using ready-to-use well-trained mo…
Correctness Assessment of Code Generated by Large Language Models Using Internal Representations
Tuan-Dung Bui, Thanh Trong Vu, Thu-Trang Nguyen +2
Ensuring the correctness of code generated by Large Language Models (LLMs) presents a significant challenge in AI-driven software development. Existing approaches predominantly rel…