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Artificial intelligence (AI) is widely deployed to solve problems related to marketing attribution and budget optimization. However, AI models can be quite complex, and it can be difficult to understand model workings and insights without…

Computation and Language · Computer Science 2024-04-23 Yilin Gao , Sai Kumar Arava , Yancheng Li , James W. Snyder

The growing integration of AI tools in software development, particularly Large Language Models (LLMs) such as ChatGPT, has revolutionized how developers approach coding tasks. However, achieving high-quality code often requires iterative…

Software Engineering · Computer Science 2025-06-03 Sophia DiCuffa , Amanda Zambrana , Priyanshi Yadav , Sashidhar Madiraju , Khushi Suman , Eman Abdullah AlOmar

Testing is an integral part of the software development process. Yet, writing tests is time-consuming and therefore often neglected. Classical test generation tools such as EvoSuite generate behavioral test suites by optimizing for…

Software Engineering · Computer Science 2023-10-04 Nikitha Rao , Kush Jain , Uri Alon , Claire Le Goues , Vincent J. Hellendoorn

As Large Language Models (LLMs) advance in natural language processing, there is growing interest in leveraging their capabilities to simplify software interactions. In this paper, we propose a novel system that integrates LLMs for both…

Computation and Language · Computer Science 2024-09-19 Chunliang Tao , Xiaojing Fan , Yahe Yang

Designing heuristics for combinatorial optimization problems (COPs) is a fundamental yet challenging task that traditionally requires extensive domain expertise. Recently, Large Language Model (LLM)-based Automated Heuristic Design (AHD)…

Artificial Intelligence · Computer Science 2026-04-28 Bin Chen , Shouliang Zhu , Beidan Liu , Yong Zhao , Tianle Pu , Huichun Li , Zhengqiu Zhu

Executing computer programs described in natural language has long been a pursuit of computer science. With the advent of enhanced natural language understanding capabilities exhibited by large language models (LLMs), the path toward this…

Computation and Language · Computer Science 2024-03-15 Xin Zheng , Qiming Zhu , Hongyu Lin , Yaojie Lu , Xianpei Han , Le Sun

$ $Large Language Models (LLMs) are being increasingly utilized in various applications, with code generations being a notable example. While previous research has shown that LLMs have the capability to generate both secure and insecure…

Generative Pretrained Transformers (GPTs) are foundational Large Language Models (LLMs) for text generation. However, individual LLMs often produce inconsistent outputs and exhibit biases, limiting their representation of diverse language…

Computation and Language · Computer Science 2025-08-06 Mari Ashiga , Wei Jie , Fan Wu , Vardan Voskanyan , Fateme Dinmohammadi , Paul Brookes , Jingzhi Gong , Zheng Wang

Large language models (LLMs) are playing an increasingly important role in science and engineering. For example, their ability to parse and understand human and computer languages makes them powerful interpreters and their use in…

Materials Science · Physics 2023-10-19 Juan C. Verduzco , Ethan Holbrook , Alejandro Strachan

Large language models, such as OpenAI's codex and Deepmind's AlphaCode, can generate code to solve a variety of problems expressed in natural language. This technology has already been commercialised in at least one widely-used programming…

Human-Computer Interaction · Computer Science 2022-10-18 Advait Sarkar , Andrew D. Gordon , Carina Negreanu , Christian Poelitz , Sruti Srinivasa Ragavan , Ben Zorn

Large Language Models (LLMs) have become powerful tools for automated code generation. However, these models often overlook critical security practices, which can result in the generation of insecure code that contains…

Software Engineering · Computer Science 2025-07-01 Hao Yan , Swapneel Suhas Vaidya , Xiaokuan Zhang , Ziyu Yao

Large language models (LLMs) are used in software development to assist in various tasks, e.g., code generation and code completion, but empirical evaluations of the quality of the results produced by these models focus on correctness and…

Software Engineering · Computer Science 2025-02-05 Lola Solovyeva , Sophie Weidmann , Fernando Castor

Large language models (LLMs) are a special class of pretrained language models obtained by scaling model size, pretraining corpus and computation. LLMs, because of their large size and pretraining on large volumes of text data, exhibit…

Computation and Language · Computer Science 2023-10-20 Katikapalli Subramanyam Kalyan

The integration of Large Language Models (LLMs) into software engineering has revolutionized code generation, enabling unprecedented productivity through promptware and autonomous AI agents. However, this transformation introduces…

Software Engineering · Computer Science 2025-08-19 Satyam Kumar Navneet , Joydeep Chandra

Self-healing systems have long been a focus of research, aiming to enable software to recover from unexpected runtime errors without human intervention. Traditional approaches rely on predefined heuristic rules, such as reusing error…

Software Engineering · Computer Science 2026-05-05 Zhensu Sun , Haotian Zhu , Bowen Xu , Xiaoning Du , Li Li , David Lo

The advancement of natural language processing (NLP) has been significantly boosted by the development of transformer-based large language models (LLMs). These models have revolutionized NLP tasks, particularly in code generation, aiding…

Computation and Language · Computer Science 2024-05-27 Dong Huang , Jie M. Zhang , Michael Luck , Qingwen Bu , Yuhao Qing , Heming Cui

The automatic generation of RTL code (e.g., Verilog) using natural language instructions and large language models (LLMs) has attracted significant research interest recently. However, most existing approaches heavily rely on commercial…

Programming Languages · Computer Science 2025-08-07 Shang Liu , Wenji Fang , Yao Lu , Qijun Zhang , Hongce Zhang , Zhiyao Xie

This paper provides a comprehensive review of the literature concerning the utilization of Natural Language Processing (NLP) techniques, with a particular focus on transformer-based large language models (LLMs) trained using Big Code,…

Software Engineering · Computer Science 2023-07-07 Man Fai Wong , Shangxin Guo , Ching Nam Hang , Siu Wai Ho , Chee Wei Tan

Planning methods with high adaptability to dynamic environments are crucial for the development of autonomous and versatile robots. We propose a method for leveraging a large language model (GPT-4o) to automatically generate networks…

Artificial Intelligence · Computer Science 2025-04-03 Reo Abe , Akifumi Ito , Kanata Takayasu , Satoshi Kurihara

Traditional manufacturing faces challenges adapting to dynamic environments and quickly responding to manufacturing changes. The use of multi-agent systems has improved adaptability and coordination but requires further advancements in…

Multiagent Systems · Computer Science 2024-06-24 Jonghan Lim , Birgit Vogel-Heuser , Ilya Kovalenko
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