Check computer science papers: citations, claims and retractions

Blockchain technology and application possibilities in the digital transformation of transaction processes

Hofbauer, G., & Sangl, A. (2019) · Forum Scientiae Oeconomia

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 3

Gradient Ascent Post-training Enhances Language Model Generalization

Yoon, D., Jang, J., Kim, S., & Seo, M. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 3

Test Driven Development and Its Impact on Program Design and Software Quality: A Systematic Literature Review

Agha, D., Sohail, R., Meghji, A. F., Qaboolio, R., & Bhatti, S. (2023) · VAWKUM Transactions on Computer Sciences

Software Engineering Techniques and PracticesSoftware Testing and Debugging Techniques

Cited by 3

Implementing Pattern Recognition and Matching techniques to automatically detect standardized functional tests from wearable technology

Vijayan, V., McKelvey, N., Condell, J., Gardiner, P., & Connolly, J. (2020) · 2020 31st Irish Signals and Systems Conference (ISSC)

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 3

Does Few-Shot Learning Help LLM Performance in Code Synthesis?

Xu, D., Xie, T., Xia, B., Li, H., Bai, Y., Sun, Y., & Wang, W. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 3

Agent-based systems in healthcare

Montagna, S., Mariani, S., Schumacher, M. I., & Manzo, G. (2024) · Computer Methods and Programs in Biomedicine

Multi-Agent Systems and NegotiationArtificial Intelligence in Healthcare and Education

Cited by 3

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent

Chen, Z., Ma, X., Zhuang, S., Nie, P., Zou, K., Liu, A., Green, J., Patel, K., Meng, R., Su, M., et al. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 3

Verse: Virtual-gradient aware streaming lifelong learning with anytime inference

Banerjee, S., Verma, V. K., Mukherjee, A., Gupta, D., Namboodiri, V. P., & Rai, P. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 3

Knowledge Editing through Chain-of-Thought

Wang, C., Su, W., Ai, Q., Tang, Y., & Liu, Y. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 3

Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI

Deng, W. H., Eslami, M., & Holstein, K. (2023) · arXiv

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 3

DocHop-QA: Towards Multi-Hop Reasoning over Multimodal Document Collections

Park, J., Pyeon, S., Kim, J., Cabral, R. C., He, Z., Ding, Y., & Han, C. (2026) · Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 3

Tiered blockchain framework: A secure, trustworthy, and cost-efficient solution for the digital rights protection

Hanif, M., Munir, E. U., Rehan, M. M., Ahmad, S. G., Khan, I., & Setchi, R. (2025) · Blockchain: Research and Applications

Blockchain Technology Applications and SecurityDigital Rights Management and Security

Cited by 3

An Instruction-Response Perspective on Large Language Models in Information Retrieval Tasks

Joho, H., & Jose, J. M. (2025) · Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 3

A Review of zk-SNARKs

Chen, T., Lu, H., Kunpittaya, T., & Luo, A. (2022) · arXiv

Cryptography and Data SecurityBlockchain Technology Applications and Security

Cited by 3

A Fuzzy Logic Framework for Text-Based Incident Prioritization: Mathematical Modeling and Case Study Evaluation

Peralta, A., Olivas, J. A., & Navarro-Illana, P. (2025) · Mathematics

Text and Document Classification TechnologiesFuzzy Logic and Control Systems

Cited by 3

FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"

Ming, Y., Purushwalkam, S., Pandit, S., Ke, Z., Nguyen, X.-P., Xiong, C., & Joty, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

When Agents Coordinate: Measuring Coordination in Multi-Agent AI Coding

Destefanis, G., & Aste, T. (2026) · arXiv

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 3

Prompting the Unknown: Understanding Response Uncertainty in Large Language Models

Zhang, Z. Y., Verma, A., Doshi-Velez, F., & Low, B. K. H. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution

Lehman, J. (2019) · arXiv

Ethics and Social Impacts of AIEvolutionary Algorithms and Applications

Cited by 3

Analysis of Metaverse Technology: Is It Real or Virtual?

Caglar, E. (2023) · Advances in Web Technologies and Engineering

Virtual Reality Applications and ImpactsCultural Studies and Postmodernism

Cited by 3

ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing

da Silva, M. H. M., da Silva, J. V. S., Arrais, R. R., Neto, W. B. G. D. A., Lopes, L. T., Bileki, G. A., Lima, I. O., Rondon, L. B., de Souza, B. M., Regazio, M. C., et al. (2023) · arXiv

Advanced Image Processing TechniquesImage Enhancement Techniques

Cited by 3

Early Detection of Cyber Grooming in Online Conversations: A Dynamic Trust Model and Sliding Window Approach

Eilifsen, T. N., Shrestha, B., & Bours, P. (2023) · 2023 21st International Conference on Emerging eLearning Technologies and Applications (ICETA)

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 3

Quality Estimation & Interpretability for Code Translation

Agarwal, M., Talamadupula, K., Houde, S., Martinez, F., Muller, M., Richards, J., Ross, S., & Weisz, J. D. (2020) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 3

Reinforcement Learning with Trajectory Feedback

Efroni, Y., Merlis, N., & Mannor, S. (2020) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 3