Check computer science papers: citations, claims and retractions

Sustaining the Crypto Commons: A Configurational Systems Perspective on Blockchain and Cryptocurrency Governance

Ciriello, R., Mindel, V., & Mathiassen, L. (2024) · Proceedings of the Annual Hawaii International Conference on System Sciences

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 2

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems

Maragheh, R. Y., & Deldjoo, Y. (2025) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 2

TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review

Chang, Y., Li, Z., Zhang, H., Kong, Y., Wu, Y., So, H. K.-H., Guo, Z., Zhu, L., & Wong, N. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Topic ModelingAcademic Writing and Publishing

Cited by 2

Discovering Educational Data Mining: An Introduction

Collier, Z., Sukumar, J., & Barmaki, R. (2024) · University of Massachusetts Amherst Libraries

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 2

PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning

Lee, H., Cho, H., Kim, H., Gwak, D., Kim, J., Choo, J., Yun, S.-Y., & Yun, C. (2023) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 2

Can You Feel It?: Effectiveness of Anxiety Cues for the Design of Virtual Reality Exposure Therapy

Morton, J., De Letter, J., All, A., Daeseleire, T., Depreeuw, B., Haesen, K., De Marez, L., & Bombeke, K. (2021) · International Journal of Virtual and Augmented Reality

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 2

Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model Reasoning

Zhang, J., & Liu, K. (2024) · 2024 IEEE International Conference on Big Data (BigData)

Topic ModelingNatural Language Processing Techniques

Cited by 2

LILO: Learning Interpretable Libraries by Compressing and Documenting Code

Grand, G., Wong, L., Bowers, M., Olausson, T. X., Liu, M., Tenenbaum, J. B., & Andreas, J. (2023) · arXiv

Software Engineering ResearchEvolutionary Algorithms and Applications

Cited by 2

Exploring the Design Space of 3D MLLMs for CT Report Generation

Baharoon, M., Ma, J., Fang, C., Toma, A., & Wang, B. (2025) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 2

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation

Gao, S., Wang, C., Gao, C., Jiao, X., Chong, C. Y., Gao, S., & Lyu, M. (2025) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 2

Learning without training: The implicit dynamics of in-context learning

Dherin, B., Munn, M., Mazzawi, H., Wunder, M., & Gonzalvo, J. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 2

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Laurençon, H., Tronchon, L., & Sanh, V. (2024) · arXiv

Multimodal Machine Learning ApplicationsSoftware Engineering Research

Cited by 2

A physical signal-based anomaly detection for industrial terminal

Mei, W., Liu, W., Chen, J., & Li, K. (2023) · Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 2

Autonomous Agents for Collaborative Task under Information Asymmetry

Liu, W., Wang, C., Wang, Y., Xie, Z., Qiu, R., Dang, Y., Du, Z., Chen, W., Yang, C., & Qian, C. (2024) · Advances in Neural Information Processing Systems 37

Multi-Agent Systems and NegotiationGame Theory and Applications

Cited by 2

Self-Verifying Reflection Helps Transformers with CoT Reasoning

Yu, Z., Xia, W., Yan, X., Xu, B., Zhang, H., Du, Y., & Wang, J. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 2

Edge/Fog Computing Technologies for IoT Infrastructure II

Kim, T., Yoo, S.-E., & Kim, Y. (2023) · Sensors

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 2

Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference

Huang, J., Park, S., & Simeone, O. (2025) · IEEE Transactions on Signal Processing

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 2

Adaptive Visibility Graph Neural Network and its Application in Modulation Classification

Xuan, Q., Qiu, K., Zhou, J., Chen, Z., Xu, D., Zheng, S., & Yang, X. (2021) · arXiv

Wireless Signal Modulation ClassificationTime Series Analysis and Forecasting

Cited by 2

Quality Software Costs Money - Heartbleed Was Free: How to generate funding for FOSS

Kamp, P.-H. (2014) · Queue

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 2

YouTube Videos as Learning Media to Improve Science Learning Outcomes in Elementary Schools: A Systematic Literature Review

Musfiza, L., Elizar, & Rohmani (2025) · Indonesian Journal Of Educational Research and Review

Educational Technology and E-LearningEducational Methods and Outcomes

Cited by 2

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution

Cao, Z., Deng, J., Yu, L., Zhou, W., Liu, Z., Ding, B., & Zhao, H. (2026) · Findings of the Association for Computational Linguistics: ACL 2026

AI-based Problem Solving and PlanningDomain Adaptation and Few-Shot Learning

Cited by 2

Training Software Engineering Agents and Verifiers with SWE-Gym

Pan, J., Wang, X., Neubig, G., Jaitly, N., Ji, H., Suhr, A., & Zhang, Y. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 2

CLIMB – Curriculum Learning for Infant-inspired Model Building

Martinez, R. D., McGovern, H., Goriely, Z., Davis, C., Caines, A., Buttery, P., & Beinborn, L. (2023) · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning

Topic ModelingNatural Language Processing Techniques

Cited by 2

Artificial moral agents: should machines take ethical responsibility?

Reiter, P., Norman, U., Weinberger, N., & Bruno, B. (2025) · 2025 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 2