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Since 2020, automated testing for Database Management Systems (DBMSs) has flourished, uncovering hundreds of bugs in widely-used systems. A cornerstone of these techniques is test oracle, which typically implements a mechanism to generate…

Databases · Computer Science 2026-03-26 Qiuyang Mang , Runyuan He , Suyang Zhong , Xiaoxuan Liu , Huanchen Zhang , Alvin Cheung

Recent advances in large language models (LLMs), such as ChatGPT, have led to highly sophisticated conversation agents. However, these models suffer from "hallucinations," where the model generates false or fabricated information.…

Computation and Language · Computer Science 2023-06-12 Philip Feldman , James R. Foulds , Shimei Pan

As large language models (LLMs) continue to improve in reasoning and decision-making, there is a growing need for realistic and interactive environments where their abilities can be rigorously evaluated. We present VirtualEnv, a…

Artificial Intelligence · Computer Science 2026-02-10 Kabir Swain , Sijie Han , Ayush Raina , Jin Zhang , Shuang Li , Michael Stopa , Antonio Torralba

While Large Language Models (LLM) are able to accumulate and restore knowledge, they are still prone to hallucination. Especially when faced with factual questions, LLM cannot only rely on knowledge stored in parameters to guarantee…

Computation and Language · Computer Science 2024-01-04 Pierre Erbacher , Louis Falissar , Vincent Guigue , Laure Soulier

Web applications remain the dominant attack surface in cybersecurity, where vulnerabilities such as SQL injection, XSS, and business logic flaws continue to cause significant data breaches. While penetration testing is effective for…

Cryptography and Security · Computer Science 2026-03-31 Tran Vy Khang , Nguyen Dang Nguyen Khang , Nghi Hoang Khoa , Do Thi Thu Hien , Van-Hau Pham , Phan The Duy

GUIs have long been central to human-computer interaction, providing an intuitive and visually-driven way to access and interact with digital systems. The advent of LLMs, particularly multimodal models, has ushered in a new era of GUI…

Artificial Intelligence · Computer Science 2025-05-07 Chaoyun Zhang , Shilin He , Jiaxu Qian , Bowen Li , Liqun Li , Si Qin , Yu Kang , Minghua Ma , Guyue Liu , Qingwei Lin , Saravan Rajmohan , Dongmei Zhang , Qi Zhang

Autonomous agents capable of navigating Graphical User Interfaces (GUIs) hold the potential to revolutionize digital productivity. However, achieving true digital autonomy extends beyond reactive element matching; it necessitates a…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Hongxin Li , Xiping Wang , Jingran Su , Zheng Ju , Yuntao Chen , Qing Li , Zhaoxiang Zhang

Since the introduction of ChatGPT, large language models (LLMs) have demonstrated significant utility in various tasks, such as answering questions through retrieval-augmented generation. Context can be retrieved using a vectorized…

Computation and Language · Computer Science 2025-07-01 Ming Cheung

With the advancement of multimodal large language models (MLLMs) and coding agents, the website development has shifted from manual programming to agent-based project-level code synthesis. Existing benchmarks rely on idealized assumptions,…

Artificial Intelligence · Computer Science 2026-05-01 Qiyao Wang , Haoran Hu , Longze Chen , Hongbo Wang , Hamid Alinejad-Rokny , Yuan Lin , Min Yang

Large Language Model (LLM) Agents leverage the advanced reasoning capabilities of LLMs in real-world applications. To interface with an environment, these agents often rely on tools, such as web search or database APIs. As the agent…

Artificial Intelligence · Computer Science 2025-03-12 Ivan Milev , Mislav Balunović , Maximilian Baader , Martin Vechev

Many of us now treat LLMs as modern-day oracles asking it almost any kind of question. However, consulting an LLM does not have to be a single turn activity. But long multi-turn interactions can get tedious if it is simply to clarify…

Artificial Intelligence · Computer Science 2025-07-08 Riya Naik , Ashwin Srinivasan , Swati Agarwal , Estrid He

Leveraging multimodal large language models (MLLMs) to develop embodied agents offers significant promise for addressing complex real-world tasks. However, current evaluation benchmarks remain predominantly language-centric or heavily…

Computer Vision and Pattern Recognition · Computer Science 2026-02-12 Dwip Dalal , Utkarsh Mishra , Narendra Ahuja , Nebojsa Jojic

Large Language Models (LLMs) show remarkable capabilities, yet their stochastic next-token prediction creates logical inconsistencies and reward hacking that formal symbolic systems avoid. To bridge this gap, we introduce a formal logic…

Machine Learning · Computer Science 2026-02-02 Chuxue Cao , Jinluan Yang , Haoran Li , Kunhao Pan , Zijian Zhao , Zhengyu Chen , Yuchen Tian , Lijun Wu , Conghui He , Sirui Han , Yike Guo

In the past few years LLMs have emerged as a tool that can aid programmers by taking natural language descriptions and generating code based on it. However, the reliability of LLM code generation and current validation techniques for it are…

Programming Languages · Computer Science 2025-11-24 Aaron Councilman , David Jiahao Fu , Aryan Gupta , Chengxiao Wang , David Grove , Yu-Xiong Wang , Vikram Adve

Multi-modal large language model (MLLM)-based web agents interact with webpage environments by generating actions based on screenshots of the webpages. In this work, we propose WebInject, a prompt injection attack that manipulates the…

Machine Learning · Computer Science 2025-10-20 Xilong Wang , John Bloch , Zedian Shao , Yuepeng Hu , Shuyan Zhou , Neil Zhenqiang Gong

Software testing is an essential part of the software development cycle to improve the code quality. Typically, a unit test consists of a test prefix and a test oracle which captures the developer's intended behaviour. A known limitation of…

Software Engineering · Computer Science 2024-10-29 Michael Konstantinou , Renzo Degiovanni , Mike Papadakis

Hallucinations pose a significant challenge to the reliability of large vision-language models, making their detection essential for ensuring accuracy in critical applications. Current detection methods often rely on computationally…

Computer Vision and Pattern Recognition · Computer Science 2025-06-13 Eunkyu Park , Minyeong Kim , Gunhee Kim

Access to justice remains a global challenge, with many citizens still finding it difficult to seek help from the justice system when facing legal issues. Although the internet provides abundant legal information and services, navigating…

Computers and Society · Computer Science 2025-12-05 Jinzhe Tan , Karim Benyekhlef

Web applications rely heavily on hyperlinks to connect disparate information resources. However, the dynamic nature of the web leads to link rot, where targets become unavailable, and more insidiously, semantic drift, where a valid HTTP 200…

Software Engineering · Computer Science 2026-04-08 Guan-Yan Yang , Wei-Ling Wen , Shu-Yuan Ku , Farn Wang , Kuo-Hui Yeh

Interactive systems are omnipresent today and the need to create graphical user interfaces (GUIs) is just as ubiquitous. For the elicitation and validation of requirements, GUI prototyping is a well-known and effective technique, typically…

Software Engineering · Computer Science 2024-06-13 Kristian Kolthoff , Felix Kretzer , Christian Bartelt , Alexander Maedche , Simone Paolo Ponzetto