Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps

8 September 2023

Papers citing "Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps"

13 / 13 papers shown

Title
Mapping the Trust Terrain: LLMs in Software Engineering -- Insights and Perspectives Dipin Khati Yijin Liu David Nader-Palacio Yixuan Zhang Denys Poshyvanyk 51 0 0 18 Mar 2025
Human-In-the-Loop Software Development Agents Wannita Takerngsaksiri Jirat Pasuksmit Patanamon Thongtanunam C. Tantithamthavorn Ruixiong Zhang Fan Jiang Jing Li Evan Cook K. Chen Ming Wu LLMAG 95 1 0 19 Nov 2024
Can We Trust AI Agents? An Experimental Study Towards Trustworthy LLM-Based Multi-Agent Systems for AI Ethics José Antonio Siqueira de Cerqueira Mamia Agbese Rebekah A. Rousi Nannan Xi Juho Hamari P. Abrahamsson LLMAG 28 4 0 25 Oct 2024
Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations David Nader-Palacio Daniel Rodríguez-Cárdenas Alejandro Velasco Dipin Khati Kevin Moran Denys Poshyvanyk 38 5 0 12 Jul 2024
GPT-Powered Elicitation Interview Script Generator for Requirements Engineering Training Binnur Görer Fatma Başak Aydemir 33 3 0 17 Jun 2024
Morescient GAI for Software Engineering Marcus Kessel Colin Atkinson SyDa 30 3 0 07 Jun 2024
Calibration and Correctness of Language Models for Code Claudio Spiess David Gros Kunal Suresh Pai Michael Pradel Md Rafiqul Islam Rabin Amin Alipour Susmit Jha Prem Devanbu Toufique Ahmed 58 19 0 03 Feb 2024
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey Xinyu She Yue Liu Yanjie Zhao Yiling He Li Li C. Tantithamthavorn Zhan Qin Haoyu Wang ELM 30 13 0 27 Oct 2023
LUNA: A Model-Based Universal Analysis Framework for Large Language Models Da Song Xuan Xie Jiayang Song Derui Zhu Yuheng Huang Felix Juefei Xu Lei Ma ALM 22 3 0 22 Oct 2023
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models Dohwan Ko Joon-Young Choi Hyeong Kyu Choi Kyoung-Woon On Byungseok Roh Hyunwoo J. Kim 44 17 0 23 Mar 2023
Toward a Theory of Causation for Interpreting Neural Code Models David Nader-Palacio Alejandro Velasco Nathan Cooper Á. Rodríguez Kevin Moran Denys Poshyvanyk 8 13 0 07 Feb 2023
Few-shot training LLMs for project-specific code-summarization Toufique Ahmed Prem Devanbu 173 213 0 09 Jul 2022
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 190 853 0 09 Feb 2021