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With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

Computers and Society · Computer Science 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

Large Language Models (LLM) show strong abilities in code generation, but their skill in creating efficient parallel programs is less studied. This paper explores how LLMs generate task-based parallel code from three kinds of input prompts:…

Programming Languages · Computer Science 2026-02-27 Linus Bantel , Moritz Strack , Alexander Strack , Dirk Pflüger

Since the release of ChatGPT in November 2022, large language models (LLMs) have seen considerable success, including in the open-source community, with many open-weight models available. However, the requirements to deploy such a service…

Performance · Computer Science 2025-06-13 Yannis Bendi-Ouis , Dan Dutartre , Xavier Hinaut

We introduce GVGAI-LLM, a video game benchmark for evaluating the reasoning and problem-solving capabilities of large language models (LLMs). Built on the General Video Game AI framework, it features a diverse collection of arcade-style…

Artificial Intelligence · Computer Science 2026-05-19 Yuchen Li , Cong Lin , Muhammad Umair Nasir , Philip Bontrager , Jialin Liu , Julian Togelius

There is a significant potential for coding skills to transition fully to natural language in the future. In this context, large language models (LLMs) have shown impressive natural language processing abilities to generate sophisticated…

Materials Science · Physics 2024-06-25 Prathamesh Satpute , Saurabh Tiwari , Maneet Gupta , Supriyo Ghosh

Game environments provide rich, controllable settings that stimulate many aspects of real-world complexity. As such, game agents offer a valuable testbed for exploring capabilities relevant to Artificial General Intelligence. Recently, the…

Artificial Intelligence · Computer Science 2025-11-05 Sihao Hu , Tiansheng Huang , Gaowen Liu , Ramana Rao Kompella , Fatih Ilhan , Selim Furkan Tekin , Yichang Xu , Zachary Yahn , Ling Liu

Large language models (LLMs) such as ChatGPT have shown remarkable capabilities in code generation. Despite significant achievements, they rely on enormous training data to acquire a broad spectrum of open-domain knowledge. Besides, their…

Software Engineering · Computer Science 2025-02-18 Xiaodong Gu , Meng Chen , Yalan Lin , Yuhan Hu , Hongyu Zhang , Chengcheng Wan , Zhao Wei , Yong Xu , Juhong Wang

The increasing complexity of software systems has driven significant advancements in program analysis, as traditional methods unable to meet the demands of modern software development. To address these limitations, deep learning techniques,…

Software Engineering · Computer Science 2025-02-27 Jiayimei Wang , Tao Ni , Wei-Bin Lee , Qingchuan Zhao

Game theory has long served as a foundational tool in cybersecurity to test, predict, and design strategic interactions between attackers and defenders. The recent advent of Large Language Models (LLMs) offers new tools and challenges for…

Cryptography and Security · Computer Science 2026-02-19 Daniele Proverbio , Alessio Buscemi , Alessandro Di Stefano , The Anh Han , German Castignani , Pietro Liò

Large language models (LLM) are advanced AI systems trained on extensive textual data, leveraging deep learning techniques to understand and generate human-like language. Today's LLMs with billions of parameters are so huge that hardly any…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-14 Sheikh Azizul Hakim , Saem Hasan

Large Language Models (LLMs) such as ChatGPT demonstrated the potential to replicate human language abilities through technology, ranging from text generation to engaging in conversations. However, it remains controversial to what extent…

Computation and Language · Computer Science 2025-07-09 Martin Schuele

Parallel programs in high performance computing (HPC) continue to grow in complexity and scale in the exascale era. The diversity in hardware and parallel programming models make developing, optimizing, and maintaining parallel software…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-15 Daniel Nichols , Aniruddha Marathe , Harshitha Menon , Todd Gamblin , Abhinav Bhatele

Large Language Models (LLMs) are increasingly deployed in real-world applications that demand complex reasoning. To track progress, robust benchmarks are required to evaluate their capabilities beyond superficial pattern recognition.…

Computation and Language · Computer Science 2025-06-03 Wenye Lin , Jonathan Roberts , Yunhan Yang , Samuel Albanie , Zongqing Lu , Kai Han

While artificial intelligence (AI) technology is becoming increasingly popular, its underlying mechanisms tend to remain opaque to most people. To address this gap, the field of AI literacy aims to develop various resources to teach people…

Computers and Society · Computer Science 2026-03-31 Allison Chen , Isabella Pu

Large language models (LLMs) have demonstrated significant potential in the realm of natural language understanding and programming code processing tasks. Their capacity to comprehend and generate human-like code has spurred research into…

Software Engineering · Computer Science 2024-03-07 Chongzhou Fang , Ning Miao , Shaurya Srivastav , Jialin Liu , Ruoyu Zhang , Ruijie Fang , Asmita , Ryan Tsang , Najmeh Nazari , Han Wang , Houman Homayoun

We introduce SimulBench, a benchmark designed to evaluate large language models (LLMs) across a diverse collection of creative simulation scenarios, such as acting as a Linux terminal or playing text games with users. While these simulation…

Computation and Language · Computer Science 2024-09-13 Qi Jia , Xiang Yue , Tianyu Zheng , Jie Huang , Bill Yuchen Lin

Large Language Models (LLMs) have drawn a lot of attention due to their strong performance on a wide range of natural language tasks, since the release of ChatGPT in November 2022. LLMs' ability of general-purpose language understanding and…

Computation and Language · Computer Science 2025-03-25 Shervin Minaee , Tomas Mikolov , Narjes Nikzad , Meysam Chenaghlu , Richard Socher , Xavier Amatriain , Jianfeng Gao

It has been established in recent work that Large Language Models (LLMs) can be prompted to "self-play" conversational games that probe certain capabilities (general instruction following, strategic goal orientation, language understanding…

Computation and Language · Computer Science 2024-06-03 Anne Beyer , Kranti Chalamalasetti , Sherzod Hakimov , Brielen Madureira , Philipp Sadler , David Schlangen

Large language models (LLMs) have demonstrated impressive capabilities across various NLP tasks. Additionally, LLMs are also highly valuable in supporting software engineering tasks, particularly in the field of code generation. Automatic…

Software Engineering · Computer Science 2024-04-16 Zhijie Liu , Yutian Tang , Xiapu Luo , Yuming Zhou , Liang Feng Zhang

The progress of Large Language Models (LLMs) like ChatGPT raises the question of how they can be integrated into education. One hope is that they can support mathematics learning, including word-problem solving. Since LLMs can handle…

Computation and Language · Computer Science 2025-08-12 Anselm R. Strohmaier , Wim Van Dooren , Kathrin Seßler , Brian Greer , Lieven Verschaffel
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