Check computer science papers: citations, claims and retractions

Speculative Exploration on the Concept of Artificial Agents Conducting Autonomous Research

Takagi, S. (2023) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 3

TIPS: A Prompt Engineering Framework for Code Classification and Generation on Resource-Constrained Systems

Chen, W.-C., & Chen, S.-Y. (2026) · IEEE Access

Software Engineering ResearchTopic Modeling

Cited by 3

Can LLMs make trade-offs involving stipulated pain and pleasure states?

Keeling, G., Street, W., Stachaczyk, M., Zakharova, D., Comsa, I. M., Sakovych, A., Logothetis, I., Zhang, Z., Arcas, B. A. Y., & Birch, J. (2024) · arXiv

Psychiatry, Mental Health, NeurosciencePhilosophy and Theoretical Science

Cited by 3

Repeat After Me: Transformers are Better than State Space Models at Copying

Jelassi, S., Brandfonbrener, D., Kakade, S. M., & Malach, E. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Opening the AI black box: program synthesis via mechanistic interpretability

Michaud, E. J., Liao, I., Lad, V., Liu, Z., Mudide, A., Loughridge, C., Guo, Z. C., Kheirkhah, T. R., Vukelić, M., & Tegmark, M. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Evolutionary Algorithms and Applications

Cited by 3

Single-agent or Multi-agent Systems? Why Not Both?

Gao, M., Li, Y., Liu, B., Yu, Y., Wang, P., Lin, C.-Y., & Lai, F. (2025) · arXiv

Multi-Agent Systems and NegotiationNatural Language Processing Techniques

Cited by 3

Quantum algorithms for computing general discrete logarithms and orders with tradeoffs

Ekerå, M. (2021) · Journal of Mathematical Cryptology

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 3

CAPTURE: Disentangling Preference Drift from Memory Poisoning in Personalized LLM Agents

Hossain, S. M. A., Shayoni, R. K., & Morol, M. K. (2026) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 3

AI-driven detection of metal contaminants in construction and demolition wood waste for enhanced valorisation

De Alwis, A. M. L., Bazli, M., Kineber, A. F., Gamil, Y., & Arashpour, M. (2026) · Waste Management

Advanced Neural Network ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 3

Exploring Human Perception-Aligned Perceptual Hashing

De Geest, J., De Smet, P., Bonetto, L., Lambert, P., Van Wallendael, G., & Mareen, H. (2026) · IEEE Consumer Electronics Magazine

Digital Media Forensic DetectionImage Retrieval and Classification Techniques

Cited by 3

AI-powered knowledge organization: A next-generation approach to library classification using DeepSeek-R1

Feng, N. (2025) · Scientific Reports

Text and Document Classification TechnologiesTopic Modeling

Cited by 3

Incorporating subjectivity into gendered ambiguous pronoun (GAP) resolution using style transfer

Pant, K., & Dadu, T. (2022) · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)

Natural Language Processing TechniquesGender Studies in Language

Cited by 3

A Review of Tools and Technologies to Combat Deepfakes

Erokhin, D., & Komendantova, N. (2026) · Information

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 3

The Effects of Group Sanctions on Participation and Toxicity: Quasi-experimental Evidence from the Fediverse

Colglazier, C., TeBlunthuis, N., & Shaw, A. (2024) · arXiv

Hate Speech and Cyberbullying DetectionSocial Media and Politics

Cited by 3

Intelligent collaborative authoring of place-based, cross-cultural and media-rich experiences

Kotis, K., Spiliotopoulos, D., & Papasalouros, A. (2020) · Challenges

Innovative Human-Technology InteractionMuseums and Cultural Heritage

Cited by 3

Fostering computational thinking in young students through student generated challenges in tangible mobile augmented reality games

Gardeli, A., & Vosinakis, S. (2025) · Discover Education

Teaching and Learning ProgrammingEducational Games and Gamification

Cited by 3

RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation

Liang, K., Hu, H., Liu, R., Griffiths, T. L., & Fisac, J. F. (2025) · arXiv

Reinforcement Learning in RoboticsEthics and Social Impacts of AI

Cited by 3

PSF accuracy measure for evaluation of blur estimation algorithms

Kotera, J., Zitova, B., & Sroubek, F. (2015) · 2015 IEEE International Conference on Image Processing (ICIP)

Advanced Image Processing TechniquesImage Processing Techniques and Applications

Cited by 3

Efficient Black-Box Adversarial Attacks on Neural Text Detectors

Fishchuk, V., & Braun, D. (2023) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 3

Modularity benefits reinforcement learning agents with competing homeostatic drives

Dulberg, Z., Dubey, R., Berwian, I. M., & Cohen, J. D. (2022) · arXiv

Reinforcement Learning in RoboticsPsychiatry, Mental Health, Neuroscience

Cited by 3

Context, Reasoning, and Hierarchy: A Cost-Performance Study of Compound LLM Agent Design in an Adversarial POMDP

Bogdanov, I., Lung, C.-H., Kunz, T., Gao, J., Taylor, A., & Zaman, M. (2026) · Proceedings of the ACM Conference on AI and Agentic Systems

Adversarial Robustness in Machine LearningAI-based Problem Solving and Planning

Cited by 3

"And another thing...the current site is in German": the final project in an international digital business consultancy

Armitage, J. (2003) · Proceedings of the 2003 conference on Designing for user experiences

Usability and User Interface DesignDesign Education and Practice

Cited by 3

Large Language Models as Code Executors: An Exploratory Study

Lyu, C., Yan, L., Xing, R., Li, W., Samih, Y., Ji, T., & Wang, L. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 3

Leveraging Large Language Models to Detect npm Malicious Packages

Zahan, N., Burckhardt, P., Lysenko, M., Aboukhadijeh, F., & Williams, L. (2024) · arXiv

Advanced Malware Detection TechniquesSoftware Engineering Research

Cited by 3