Check computer science papers: citations, claims and retractions

Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Hübotter, J., Bongni, S., Hakimi, I., & Krause, A. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1

AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection

Kim, Y., Jang, H., Lee, D., & Choi, H.-J. (2022) · arXiv

Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning

Cited by 1

Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap

Channing, G., Sock, J., Clark, R., Torr, P., & de Witt, C. S. (2024) · arXiv

Digital Media Forensic DetectionSpeech Recognition and Synthesis

Cited by 1

MathML and other XML Technologies for Accessible PDF from LATEX

Mittelbach, F., Fischer, U., Carlisle, D., & Wright, J. (2025) · Proceedings of the 2025 ACM Symposium on Document Engineering

Mathematics, Computing, and Information ProcessingDigital Accessibility for Disabilities

Cited by 1

Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs

Suominen, O., Inkinen, J., & Lehtinen, M. (2025) · arXiv

Topic ModelingLibrary Science and Information Systems

Cited by 1

Bridging the chatbot connection: the role of AI-driven chatbot affordances in e-commerce purchase intentions

Yatawara, K. M. B., Sampath, T., Kalupahana, P. L., Rathnayake, S. O., Jayasuriya, N., & Rathnayake, N. (2026) · International Journal of Sociology and Social Policy

AI in Service InteractionsTechnology Adoption and User Behaviour

Cited by 1

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains

Yin, G., Bai, H., Ma, S., Nan, F., Sun, Y., Xu, Z., Ma, S., Lu, J., Kong, X., Zhang, A., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS

Nisioti, E., Mahaut, M., Oudeyer, P.-Y., Momennejad, I., & Moulin-Frier, C. (2022) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 1

In-The-Wild Deepfake Detection using Adaptable CNN Models with Visual Class Activation Mapping for Improved Accuracy

Saealal, M. S., Ibrahim, M. Z., Shapiai, M. I., & Fadilah, N. (2023) · 2023 5th International Conference on Computer Communication and the Internet (ICCCI)

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 1

Merging Artificial Intelligence and Business Applications: Preface for ITQM 2025

Shi, Y., Li, J., Kou, G., Tien, J. M., & Berg, D. (2025) · Procedia Computer Science

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 1

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation

Zhao, X., Luo, X., Shi, Q., Chen, C., Wang, S., Liu, Z., & Sun, M. (2025) · arXiv

Multimodal Machine Learning ApplicationsSoftware Engineering Research

Cited by 1

Application of AIGC in Virtual Education

Zhang, J., Li, H., Lu, Y., & Dong, W. (2025) · Proceedings of the 2025 2nd International Symposium on Artificial Intelligence for Education

Artificial Intelligence in EducationAugmented Reality Applications

Cited by 1

The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models

Chen, Y., Zhu, D., Sun, Y., Chen, X., Zhang, W., & Shen, X. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 1

Towards Decoding Developer Cognition in the Age of AI Assistants

Haque, E. A., Brown, C., LaToza, T. D., & Johnson, B. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 1

DCDN: estimating handover parameter adjusting effect with causal inference

Zhang, Y., Li, Q., Hua, X., Yu, R., Zhang, Z., Fan, X., Zhu, L., Sha, T., & Zhang, Y. (2023) · 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)

Software-Defined Networks and 5GAdvanced Data and IoT Technologies

Cited by 1

Learning to Defer to a Population: A Meta-Learning Approach

Tailor, D., Patra, A., Verma, R., Manggala, P., & Nalisnick, E. (2024) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 1

A high-throughput AES-GCM implementation on GPUs for secure, policy-based access to massive astronomical catalogs

Lemes-Perera, S., R. Alarcon, M., Caballero-Gil, P., & Serra-Ricart, M. (2026) · Astronomy and Computing

Cryptographic Implementations and SecurityCryptography and Data Security

Cited by 1

LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems

Solomon, R., Yerushalmi Levi, Y., Waknin, L., Aizikovich, E., Baras, A., Ohana, E., Giloni, A., Bose, S., Picardi, C., Elovici, Y., et al. (2026) · Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems

Software System Performance and ReliabilityMulti-Agent Systems and Negotiation

Cited by 1

Sensitivity of Linear Systems; Effects of Roundoff Errors

Watkins, D. S. (2002) · Fundamentals of Matrix Computations

Matrix Theory and AlgorithmsNumerical Methods and Algorithms

Cited by 1

The Role of Exploration for Task Transfer in Reinforcement Learning

Balloch, J. C., Kim, J., Inman, A. J. L., & Riedl, M. O. (2022) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 1

GenSim: A General Social Simulation Platform with Large Language Model based Agents

Tang, J., Gao, H., Pan, X., Wang, L., Tan, H., Gao, D., Chen, Y., Chen, X., Lin, Y., Li, Y., et al. (2024) · arXiv

Multi-Agent Systems and NegotiationSimulation Techniques and Applications

Cited by 1

Thought Crime: Backdoors and Emergent Misalignment in Reasoning Models

Chua, J., Betley, J., Taylor, M., & Evans, O. (2025) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 1

PrologMCP: A Standardized Prolog Tool Interface for LLM Agents

Mensfelt, A., Prabhakaran, A., Haret, A., Trencsenyi, V., & Stathis, K. (2026) · arXiv

Logic, Reasoning, and KnowledgeNatural Language Processing Techniques

Cited by 1

ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning

Liu, Z., Cai, Y., Zhu, X., Zheng, Y., Chen, R., Wen, Y., Wang, Y., E, W., & Chen, S. (2025) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 1