Check computer science papers: citations, claims and retractions

How Generalizable are Deepfake Image Detectors? An Empirical Study

Li, B., Sun, J., Poskitt, C. M., & Wang, X. (2023) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 3

Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward

Xu, R., & Yan, Y. (2026) · arXiv

Natural Language Processing TechniquesArtificial Intelligence Applications

Cited by 3

An Energy-Conserved Stability and Density-Aware QoS-Enabled Topological Change Adaptable Multipath Routing in MANET

Marydasan, B. P., & Nadarajan, R. (2023) · International Journal of Computer Networks and Applications

Mobile Ad Hoc NetworksOpportunistic and Delay-Tolerant Networks

Cited by 3

Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs

Zhao, S., Hong, M., Liu, Y., Hazarika, D., & Lin, K. (2025) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 3

Generalization through Diversity: Improving Unsupervised Environment Design

Li, W., Varakantham, P., & Li, D. (2023) · Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 3

InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment

Long, Y., Cai, W., Wang, H., Zhan, G., & Dong, H. (2024) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 3

V-STaR: Training Verifiers for Self-Taught Reasoners

Hosseini, A., Yuan, X., Malkin, N., Courville, A., Sordoni, A., & Agarwal, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Workshop Gurias of Code: Desbravando a arte da programação

Poltronieri, I., Finger, A. F., Melo, A. M., Mello, A. V. D., Moura, R. P. D., Silva, V. S. D., & Silva, R. S. D. (2025) · Anais do XIX Women in Information Technology (WIT 2025)

Teaching and Learning ProgrammingGender and Technology in Education

Cited by 3

From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Welleck, S., Bertsch, A., Finlayson, M., Schoelkopf, H., Xie, A., Neubig, G., Kulikov, I., & Harchaoui, Z. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 3

Livia: An emotion-aware AR companion powered by modular AI agents and progressive memory compression

Xi, R., & Wang, X. (2025) · arXiv

Emotion and Mood RecognitionSocial Robot Interaction and HRI

Cited by 3

Answer Bubbles: Information Exposure in AI-Mediated Search

Huang, M., Goyal, A., Saha, K., & Chandrasekharan, E. (2026) · Findings of the Association for Computational Linguistics: EMNLP 2026

Information Retrieval and Search BehaviorEthics and Social Impacts of AI

Cited by 3

Designing for Trust: Role and Benefits of Human-Centered Design in the Legal System

Karpen, I. O., & Senova, M. (2021) · International Journal for Court Administration

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 3

Long Context Transfer from Language to Vision

Zhang, P., Zhang, K., Li, B., Zeng, G., Yang, J., Zhang, Y., Wang, Z., Tan, H., Li, C., & Liu, Z. (2024) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 3

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution

Li, H., Shi, Y., Lin, S., Gu, X., Lian, H., Wang, X., Jia, Y., Huang, T., & Wang, Q. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 3

Work-In-Progress: IoT Device Signature Validation

Hemmes, J., & Dressler, J. (2019) · 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 3

Normative Disagreement as a Challenge for Cooperative AI

Stastny, J., Riché, M., Lyzhov, A., Treutlein, J., Dafoe, A., & Clifton, J. (2021) · arXiv

Reinforcement Learning in RoboticsMulti-Agent Systems and Negotiation

Cited by 3

The necessity of multimodal feedback for learning effective pedagogical policies with reinforcement learning

Che, L., Guo, P., Isleem, H. F., & Wang, Z. (2025) · Scientific Reports

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 3

PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs

Chen, J., Ren, J., Ding, W., & Qu, Y. (2023) · arXiv

Semantic Web and OntologiesAdvanced Graph Neural Networks

Cited by 3

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit

Shamai, G., Cohen, S., Binenbaum, Y., Sabo, E., Cretu, A., Mayer, C., Barshack, I., Goldman, T., Bar-Sela, G., Polónia, A., et al. (2025) · medRxiv

AI in cancer detectionBreast Cancer Treatment Studies

Cited by 3

From Efficient Multimodal Models to World Models: A Survey

Mai, X., Tao, Z., Lin, J., Wang, H., Chang, Y., Kang, Y., Wang, Y., & Zhang, W. (2024) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3

ExDDV: A New Dataset for Explainable Deepfake Detection in Video

Hondru, V., Hogea, E., Onchiş, D., & Ionescu, R. T. (2026) · 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 3

Motivating complexity understanding by profiling energy usage

Gross, J. B., Jacoby, D., Coogan, K., & Helman, A. (2021) · Proceedings of the 2021 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software

Teaching and Learning ProgrammingGreen IT and Sustainability

Cited by 3

Impact of quiz-based interactive videos into personal learning environment on regulating e-portfolio design and learning engagement: An experimental study

Khalil, H., Al-Maawali, W., & El-Ghool, R. (2022) · Universal Journal of Educational Research

Educational Technology and E-LearningVisual and Cognitive Learning Processes

Cited by 3

Industrial Control Anomaly Detection Based on Distributed Linear Deep Learning

Tang, S., Ding, Y., & Wang, H. (2025) · Computers, Materials & Continua

Network Security and Intrusion DetectionFault Detection and Control Systems

Cited by 3