From the 2 of 16 linked papers with an AI index.
16 papers
How Well Do LLMs Generate Taxonomies in the SE Domain? A Multi-perspective Evaluation Framework
Sota Nakashima, Yuta Ishimoto, Masanari Kondo +2
Taxonomies provide a shared conceptual framework for organizing heterogeneous observations in software engineering (SE) research. Manually constructing such taxonomies is labor-int…
Directed Symbolic Execution for Vulnerability Discovery: An LLM-Guided Approach in KLEE
Lingfeng Chen, Tao Xiao, Masanari Kondo +1
Symbolic execution effectively discovers security violations but suffers from path explosion. Engines like KLEE therefore use path prioritization heuristics to order state explorat…
RepTran: Search-Based Repair of Transformer Models
Yuta Ishimoto, Paolo Arcaini, Fuyuki Ishikawa +3
The paper introduces RepTran, a search‑based method that repairs Transformer models by identifying and optimizing suspicious feed‑forward network weights using variance‑based and b…
ThinkLog: Leveraging Reasoning for Log Statement Generation
Kazuki Kusama, Honglin Shu, Masanari Kondo +2
ThinkLog uses large language models with reasoning prompts to automatically decide where to insert logs, what severity to assign, and how to phrase log messages, improving the accu…
Exploring the Potential of Program Flowcharts on Code Generation Using Multimodal LLMs
Yuki Toi, Tao Xiao, Kazushi Tomoto +2
In recent years, Large Language Models (LLMs) have made significant strides, leading to the emergence of multimodal LLMs capable of processing diverse inputs such as images and aud…
Leveraging Language Models for Log Statement Generation in Multilingual Scenarios: How Far Are We?
Kazuki Kusama, Honglin Shu, Masanari Kondo +1
Log statements capture critical information for software maintenance activities such as testing, debugging, and failure analysis. Because of this importance, developers must carefu…