Check computer science papers: citations, claims and retractions

Reciprocal trust and distrust in artificial intelligence systems: the hard problem of regulation

Maggetti, M. (2026) · AI & SOCIETY

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 2

Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model

Zhang, Y., Jiang, J., Xia, G., & Dixon, S. (2022) · arXiv

Music and Audio ProcessingMultimodal Machine Learning Applications

Cited by 2

STORM: Token-Efficient Long Video Understanding for Multimodal LLMs

Jiang, J., Li, X., Liu, Z., Li, M., Chen, G., Li, Z., Huang, D.-A., Liu, G., Yu, Z., Keutzer, K., et al. (2025) · 2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 2

Signifiers as a First-class Abstraction in Hypermedia Multi-Agent Systems

Vachtsevanou, D., Ciortea, A., Mayer, S., & Lemée, J. (2023) · International Joint Conference on Autonomous Agents and Multiagent Systems

Multi-Agent Systems and NegotiationWeb Applications and Data Management

Cited by 2

Studying usability of public health surveillance maps through framework based heuristic evaluation

Shah, H. A., Househ, M., Schneider, J., Al-Thani, D. A., & Agus, M. (2024) · Computer Methods and Programs in Biomedicine Update

Data Visualization and AnalyticsUsability and User Interface Design

Cited by 2

Exploring Data-driven Worked Examples for Block-based Programming

Zhi, R. (2018) · Proceedings of the 2018 ACM Conference on International Computing Education Research

Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning

Cited by 2

Revolutionizing Healthcare: The Impact of Augmented and Virtual Reality (AR/VR) Technologies

Chabukswar, A., Pahuja, S., & Kulkarni, S. (2025) · Augmented and Virtual Reality in Immersive Healthcare

Augmented Reality ApplicationsVirtual Reality Applications and Impacts

Cited by 2

Training Language Models to Reason Efficiently

Arora, D., & Zanette, A. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks

Cuadron, A., Li, D., Ma, W., Wang, X., Wang, Y., Zhuang, S., Liu, S., Schroeder, L. G., Xia, T., Mao, H., et al. (2025) · arXiv

Software Engineering ResearchAI-based Problem Solving and Planning

Cited by 2

Secure Image Communication using Systematic-LT Codes over AWGN Channel

Sarvepalli, G. P., Rethinam, S., Prasad, B. N. S., & Kulkarni, M. (2022) · 2022 2nd Asian Conference on Innovation in Technology (ASIANCON)

Error Correcting Code TechniquesCoding theory and cryptography

Cited by 2

Examining Joy of Use and Usability During Mobile Phone Interactions within a Multimodal Methods Approach

Lingelbach, K., Tagalidou, N., Markey, P. S., Föll, B., Peissner, M., & Vukelić, M. (2022) · Mensch und Computer 2022

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 2

A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directions

Acikgoz, E. C., Qian, C., Wang, H., Dongre, V., Chen, X., Ji, H., Hakkani-Tür, D., & Tur, G. (2025) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 2

Spectrum Sharing Optimization in Cellular Networks under Target Performance and Budget Restriction

Asaduzzaman, M., Abozariba, R., & Patwary, M. N. (2017) · 2017 IEEE 85th Vehicular Technology Conference (VTC Spring)

Cognitive Radio Networks and Spectrum SensingWireless Communication Networks Research

Cited by 2

Quantifying Variance in Evaluation Benchmarks

Madaan, L., Singh, A. K., Schaeffer, R., Poulton, A., Koyejo, S., Stenetorp, P., Narang, S., & Hupkes, D. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

A Systematic Review on Machine Learning Insider Threat Detection Models, Datasets and Evaluation Metrics

Wanyonyi, E. N., Abeka, S., & Masinde, N. (2023) · International Journal of Network Security & Its Applications

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 2

Methods for Scalable Optical Quantum Computation

Mor, T., & Yoran, N. (2006) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 2

Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First

Liu, S., Ponnapalli, S., Shankar, S., Zeighami, S., Zhu, A., Agarwal, S., Chen, R., Suwito, S., Yuan, S., Stoica, I., et al. (2025) · arXiv

Advanced Database Systems and QueriesScientific Computing and Data Management

Cited by 2

ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning

Chen, Z., Kang, M., & Li, B. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 2

ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

Tang, X., Liu, Y., Cai, Z., Shao, Y., Lu, J., Zhang, Y., Deng, Z., Hu, H., An, K., Huang, R., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 2

Knowledge-Augmented Patient Network Embedding-Based Dynamic Model Selection for Predictive Analysis of Pediatric Drug-Induced Liver Injury

Huang, L., Shi, Z., Tang, F., & Wang, H. (2026) · IEEE Transactions on Biomedical Engineering

Machine Learning in HealthcareDrug-Induced Hepatotoxicity and Protection

Cited by 2

Establishing Best Practices for Building Rigorous Agentic Benchmarks

Zhu, Y., Jin, T., Pruksachatkun, Y., Zhang, A., Liu, S., Cui, S., Kapoor, S., Longpre, S., Meng, K., Weiss, R., et al. (2025) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 2

Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs

Tereshchenko, Y., & Hämäläinen, M. K. (2025) · Journal of Data Mining & Digital Humanities

Hate Speech and Cyberbullying DetectionTopic Modeling

Cited by 2

Pvit-6d: Overclocking vision transformers for 6d pose estimation with confidence-level prediction and pose tokens

Stapf, S., Bauernfeind, T., & Riboldi, M. (2023) · arXiv

Advanced Neural Network ApplicationsRobot Manipulation and Learning

Cited by 2

NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness

Singhal, M., Aggarwal, T., Awasthi, A., Natarajan, N., & Kanade, A. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 2