Check computer science papers: citations, claims and retractions

AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Nunez, A., Islam, N. T., Jha, S. K., & Najafirad, P. (2024) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 7

Algorithmic progress in computer vision

Erdil, E., & Besiroglu, T. (2022) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 7

LLM meets ML: Data-efficient Anomaly Detection on Unstable Logs

Hadadi, F., Xu, Q., Bianculli, D., & Briand, L. (2024) · arXiv

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 7

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

Röttger, P., Hofmann, V., Pyatkin, V., Hinck, M., Kirk, H. R., Schütze, H., & Hovy, D. (2024) · arXiv

Ethics and Social Impacts of AISentiment Analysis and Opinion Mining

Cited by 7

QISS: Quantum-Enhanced Sustainable Security Incident Handling in the IoT

Blanco, C., Santos-Olmo, A., & Sánchez, L. E. (2024) · Information

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 7

AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs

Liao, Z., & Sun, H. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 7

Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning

Chen, X., Sun, Z., Wenjin, G., Zhang, M., Chen, Y., Sun, Y., Su, H., Pan, Y., Klakow, D., Li, W., et al. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Topic ModelingNatural Language Processing Techniques

Cited by 7

Integrating AI technology into corpus-based language learning through ChatAI

Anthony, L. (2025) · Computer Assisted Language Learning

Natural Language Processing TechniquesSecond Language Acquisition and Learning

Cited by 7

A Transformer-Based Approach for Smart Invocation of Automatic Code Completion

de Moor, A., van Deursen, A., & Izadi, M. (2024) · Proceedings of the 1st ACM International Conference on AI-Powered Software

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 7

Exploring Green AI for Audio Deepfake Detection

Saha, S., Sahidullah, M., & Das, S. (2024) · arXiv

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 7

Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping

Xiao, J., Wan, Y., Huo, Y., Wang, Z., Xu, X., Wang, W., Xu, Z., Wang, Y., & Lyu, M. R. (2024) · arXiv

Software Engineering ResearchMultimodal Machine Learning Applications

Cited by 7

Are Large Language Models More Empathetic than Humans?

Welivita, A., & Pu, P. (2024) · arXiv

Emotion and Mood RecognitionSpeech and dialogue systems

Cited by 7

Fast Forensic Triage Using Centralised Thumbnail Caches on Windows Operating Systems

McKeown, S., Russell, G., & Leimich, P. (2019) · The Journal of Digital Forensics, Security and Law

Digital and Cyber ForensicsDigital Media Forensic Detection

Cited by 7

Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation

Słowik, A., & Bottou, L. (2021) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 7

Research on Adaptive Dynamic Access Control Model Based on Blockchain and Token

Yang, K., Li, D., Zhou, L., & Cheng, K. (2022) · Journal of Physics: Conference Series

Blockchain Technology Applications and SecurityAccess Control and Trust

Cited by 7

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

Karamcheti, S., Nair, S., Balakrishna, A., Liang, P., Kollar, T., & Sadigh, D. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 7

Video Object Detection Base on RGB and Optical Flow Analysis

Zhang, S., Wang, T., Wang, C., Wang, Y., Shan, G., & Snoussi, H. (2019) · 2019 2nd China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 7

Learning to Reason under Off-Policy Guidance

Yan, J., Li, Y., Hu, Z., Wang, Z., Cui, G., Qu, X., Cheng, Y., & Zhang, Y. (2025) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 7

Assessing the Value of Multimodal Interfaces: A Study on Human-Machine Interaction in Weld Inspection Workstations

Chojecki, P., Strazdas, D., Przewozny, D., Gard, N., Runde, D., Hoerner, N., Al-Hamadi, A., Eisert, P., & Bosse, S. (2023) · Sensors

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 7

The challenges of AI-decision-making in government and administrative law: a proposal for regulatory design

Sheehy, B., & Ng, Y.-F. (2024) · Indiana Law Review

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 7

From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models

Liu, N., Chen, L., Tian, X., Zou, W., Chen, K., & Cui, M. (2024) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 7

CaMML: Context-Aware Multimodal Learner for Large Models

Chen, Y., Zhang, S., Han, B., He, T., & Li, B. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 7

AI vs. Human Writing: Developing a Novel Method for Text Authenticity Detection in Education

Department of Computer Science and Engineering, R. I. O. T., Kalmani, V. H., Adamuthe, A. C., Premnath Gondil, A., Prashant Patil, V., Amar Kore, R., & Mahadev Metkari, V. (2025) · International Journal of Modern Education and Computer Science

Authorship Attribution and ProfilingAcademic integrity and plagiarism

Cited by 7

Identifiability in inverse reinforcement learning

Cao, H., Cohen, S. N., & Szpruch, L. (2021) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 7