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In this paper, we propose the use of the popular word-based board game Codenames as a suitable benchmark for evaluating the reasoning capabilities of Large Language Models (LLMs). Codenames presents a highly interesting challenge for…

Artificial Intelligence · Computer Science 2025-04-23 Matthew Stephenson , Matthew Sidji , Benoît Ronval

The rapid development of artificial intelligence has led to marked progress in the field. One interesting direction for research is whether Large Language Models (LLMs) can be integrated with structured knowledge-based systems. This…

Computation and Language · Computer Science 2025-05-02 Wenli Yang , Lilian Some , Michael Bain , Byeong Kang

In the current cybersecurity landscape, protecting military devices such as communication and battlefield management systems against sophisticated cyber attacks is crucial. Malware exploits vulnerabilities through stealth methods, often…

Cryptography and Security · Computer Science 2024-05-16 Pedro Miguel Sánchez Sánchez , Alberto Huertas Celdrán , Gérôme Bovet , Gregorio Martínez Pérez

While recent studies have looked into the abilities of large language models in various benchmark tasks, including question generation, reading comprehension, multilingual and etc, there have been few studies looking into the…

Computation and Language · Computer Science 2023-10-24 Jiao Sun , Yufei Tian , Wangchunshu Zhou , Nan Xu , Qian Hu , Rahul Gupta , John Frederick Wieting , Nanyun Peng , Xuezhe Ma

Large Language Models (LLMs) possess an extraordinary capability to produce text that is not only coherent and contextually relevant but also strikingly similar to human writing. They adapt to various styles and genres, producing content…

Computation and Language · Computer Science 2025-07-08 Chinnappa Guggilla , Budhaditya Roy , Trupti Ramdas Chavan , Abdul Rahman , Edward Bowen

Generative Artificial Intelligence (GenAI), specifically large language models (LLMs) like ChatGPT, has swiftly entered organizations without adequate governance, posing both opportunities and risks. Despite extensive debate on GenAI's…

Artificial Intelligence · Computer Science 2026-02-23 Johannes Schneider , Pauline Kuss , Rene Abraham , Christian Meske

The rapid increase in video content production has resulted in enormous data volumes, creating significant challenges for efficient analysis and resource management. To address this, robust video analysis tools are essential. This paper…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Ulindu De Silva , Leon Fernando , Billy Lau Pik Lik , Zann Koh , Sam Conrad Joyce , Belinda Yuen , Chau Yuen

The rapid advancement of generative models has empowered modern AI systems to comprehend and produce highly sophisticated content, even achieving human-level performance in specific domains. However, these models are fundamentally…

While large language models (LLMs) have been increasingly adopted for machine translation (MT), their performance for specialist domains such as medicine and law remains an open challenge. Prior work has shown that LLMs can be…

Computation and Language · Computer Science 2025-03-10 Bryan Li , Jiaming Luo , Eleftheria Briakou , Colin Cherry

Large Language Models (LLMs) are revolutionizing bioinformatics, enabling advanced analysis of DNA, RNA, proteins, and single-cell data. This survey provides a systematic review of recent advancements, focusing on genomic sequence modeling,…

Computation and Language · Computer Science 2026-03-03 Zhenyu Wang , Zikang Wang , Jiyue Jiang , Pengan Chen , Xiangyu Shi , Yu Li

Large pretrained models are showing increasingly better performance in reasoning and planning tasks across different modalities, opening the possibility to leverage them for complex sequential decision making problems. In this paper, we…

Artificial Intelligence · Computer Science 2024-10-10 Martin Klissarov , Devon Hjelm , Alexander Toshev , Bogdan Mazoure

With the increasing popularity of ChatGPT, large language models (LLMs) have demonstrated their capabilities in communication and reasoning, promising for transportation sector intelligentization. However, they still face challenges in…

Human-Computer Interaction · Computer Science 2024-04-10 Jiajing Chen , Weihang Xu , Haiming Cao , Zihuan Xu , Yu Zhang , Zhao Zhang , Siyao Zhang

Large language models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks. However, their practical application in high-stake domains, such as fraud and abuse detection, remains an area that requires…

Computation and Language · Computer Science 2024-09-11 Joymallya Chakraborty , Wei Xia , Anirban Majumder , Dan Ma , Walid Chaabene , Naveed Janvekar

Unlocking the potential of Large Language Models (LLMs) in data classification represents a promising frontier in natural language processing. In this work, we evaluate the performance of different LLMs in comparison with state-of-the-art…

Computation and Language · Computer Science 2025-01-16 Arina Kostina , Marios D. Dikaiakos , Dimosthenis Stefanidis , George Pallis

Large Language Models (LLMs) have shown remarkable capabilities in code generation tasks, yet they face significant limitations in handling complex, long-context programming challenges and demonstrating complex compositional reasoning…

Artificial Intelligence · Computer Science 2025-01-14 Amr Almorsi , Mohanned Ahmed , Walid Gomaa

Large Language Models (LLMs) are transforming artificial intelligence, enabling autonomous agents to perform diverse tasks across various domains. These agents, proficient in human-like text comprehension and generation, have the potential…

Artificial Intelligence · Computer Science 2024-04-10 Saikat Barua

Large Language Models (LLMs) have introduced a paradigm shift in interaction with AI technology, enabling knowledge workers to complete tasks by specifying their desired outcome in natural language. LLMs have the potential to increase…

Human-Computer Interaction · Computer Science 2025-03-24 Michelle Brachman , Amina El-Ashry , Casey Dugan , Werner Geyer

Large Language Models (LLMs) are one of the most promising developments in the field of artificial intelligence, and the software engineering community has readily noticed their potential role in the software development life-cycle.…

Software Engineering · Computer Science 2026-03-16 Greta Dolcetti , Vincenzo Arceri , Eleonora Iotti , Sergio Maffeis , Agostino Cortesi , Enea Zaffanella

The success and wide adoption of generative AI (GenAI), particularly large language models (LLMs), has attracted the attention of cybercriminals seeking to abuse models, steal sensitive data, or disrupt services. Moreover, providing…

The advent of Large Language Models (LLMs) has raised concerns about their enormous carbon footprint, starting with energy-intensive training and continuing through repeated inference. This study investigates the potential of using…

Computation and Language · Computer Science 2026-01-15 Anandita Garg , Uma Gaba , Deepan Muthirayan , Anish Roy Chowdhury