Check computer science papers: citations, claims and retractions

Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly?

Xia, C. S., Wang, Z., Yang, Y., Wei, Y., & Zhang, L. (2025) · arXiv

Software Engineering ResearchEvolutionary Algorithms and Applications

Cited by 2

Federated Objective: Assessing Client Truthfulness in Federated Learning

Garofalo, M., Catalfamo, A., Colosi, M., & Villari, M. (2024) · 2024 IEEE International Conference on Big Data (BigData)

Privacy-Preserving Technologies in DataEthics and Social Impacts of AI

Cited by 2

Roadmap of AlphaGo to AlphaStar: Problems and challenges

Rong, Y. (2022) · 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022)

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 2

Maximizing impact of explainable artificial intelligence in radiotherapy: a critical review

Heising, L. M., Wolfs, C. J. A., Ou, C. X. J., Hoebers, F. J. P., van Limbergen, E. J., Verhaegen, F., & Jacobs, M. J. G. (2026) · Physics in Medicine & Biology

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 2

Uncertainty-Aware Evaluation for Vision-Language Models

Kostumov, V., Nutfullin, B., Pilipenko, O., & Ilyushin, E. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2

POSQA: Probe the World Models of LLMs with Size Comparisons

Shu, C., Han, J., Liu, F., Shareghi, E., & Collier, N. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 2

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Chen, Y., Xue, F., Li, D., Hu, Q., Zhu, L., Li, X., Fang, Y., Tang, H., Yang, S., Liu, Z., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2

PyCalib a library for classifier calibration

Perello-Nieto, M., Song, H., Silva Filho, T., & Kängsepp, M. (2021) · Zenodo

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 2

Performing Active Search to Locate Indication of Ancient Water on Mars: An Online, Probabilistic Approach

Pouya, P., & Madni, A. (2021) · ASCEND 2021

Reinforcement Learning in RoboticsPlanetary Science and Exploration

Cited by 2

Improving Advisor Systems: Algorithms that Explain Themselves

Neumann, M., & Kuncel, N. R. (2025) · Journal of Business and Psychology

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 2

Lethal autonomous weapons systems, revulsion, and respect

Dean, R. (2022) · Frontiers in Big Data

Ethics and Social Impacts of AIPhilosophical Ethics and Theory

Cited by 2

Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy

Shaban-Nejad, A., Ammar, N., Kumsa, F., Hashtarkhani, S., White, B., Chinthala, L. K., Owens, C. A., Hayes, N., & Schwartz, D. L. (2024) · Studies in Health Technology and Informatics

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 2

Human Cognitive Benchmarks Reveal Foundational Visual Gaps in MLLMs

Huang, J.-T., Dai, D., Huang, J.-Y., Yuan, Y., Liu, X., Wang, W., Jiao, W., He, P., Tu, Z., & Duan, H. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2

Buddhist-inspired Self-tracking Apps: Tracking Emotions and Values in a Digital Era

McGuire, B. (2020) · Journal of the Japanese Association for Digital Humanities

Innovative Human-Technology InteractionDigital Mental Health Interventions

Cited by 2

Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions

Snell, J. C., Zollo, T. P., Deng, Z., Pitassi, T., & Zemel, R. (2022) · arXiv

Machine Learning and Data ClassificationRisk and Portfolio Optimization

Cited by 2

Vocal Imitation Set v1.1.3 : Thousands of vocal imitations of hundreds of sounds from the AudioSet ontology

Kim, B., & Pardo, B. (2018) · Zenodo

Music and Audio ProcessingMusic Technology and Sound Studies

Cited by 2

DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection

Ćiprijanović, A., Lewis, A., Pedro, K., Madireddy, S., Nord, B., Perdue, G. N., & Wild, S. M. (2023) · arXiv

Domain Adaptation and Few-Shot LearningGalaxies: Formation, Evolution, Phenomena

Cited by 2

ANALISIS PERBANDINGAN METODE MANAJEMEN PROYEK TI YANG PALING SERING DIGUNAKAN DI INDONESIA DAN LUAR NEGERI: A LITERATURE REVIEW

Witania, A., Nugraha, A. D., Ermawati, E., Fajar Sari, L., Megawati, N. L., & Fadillah, N. N. (2022) · Journal of Management Small and Medium Enterprises (SMEs)

Software Engineering Techniques and PracticesInformation Technology Governance and Strategy

Cited by 2

Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation

Bao, Q., Peng, A. Y., Hartill, T., Tan, N., Deng, Z., Witbrock, M., & Liu, J. (2022) · arXiv

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 2

The future of AI governance: navigating the challenges of generative AI

Gajjar, V. (2024) · International Journal of Science and Research (IJSR)

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 2

Policy-Guided Diffusion

Jackson, M. T., Matthews, M. T., Lu, C., Ellis, B., Whiteson, S., & Foerster, J. (2024) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 2

SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks

Lee, H., Zhang, Z., Lu, H., & Zhang, L. (2025) · arXiv

Web Application Security VulnerabilitiesSoftware Engineering Research

Cited by 2

CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions

Ates, T., Atesoglu, M. S., Yigit, C., Kesen, I., Kobas, M., Erdem, E., Erdem, A., Goksun, T., & Yuret, D. (2020) · arXiv

Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge

Cited by 2

Spot the Scam: Identifying Email Scams and Scam Susceptibility in Younger and Older Adults

Alberts, K. O., Espiritu, I. J., & Castel, A. D. (2026) · Experimental Aging Research

Spam and Phishing DetectionCybercrime and Law Enforcement Studies

Cited by 2