Check computer science papers: citations, claims and retractions

Responsible research and innovation in practice: Driving both the ‘How’ and the ‘What’ to research

Chen, J., Nichele, E., Ellerby, Z., & Wagner, C. (2022) · Journal of Responsible Technology

Ethics and Social Impacts of AIInnovation, Technology, and Society

Cited by 10

Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases

Cao, B., Lin, H., Han, X., Sun, L., Yan, L., Liao, M., Xue, T., & Xu, J. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

AAMR: Automated Anomalous Microservice Ranking in Cloud-Native Environment

Zhang, Z. (2021) · International Conferences on Software Engineering and Knowledge Engineering

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 10

LLM Post-Training: A Deep Dive into Reasoning Large Language Models

Kumar, K., Ashraf, T., Thawakar, O., Anwer, R. M., Cholakkal, H., Shah, M., Yang, M.-H., Torr, P. H. S., Khan, F. S., & Khan, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

Small Language Model Can Self-correct

Han, H., Liang, J., Shi, J., He, Q., & Xiao, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale

Chen, J., Gui, C., Ouyang, R., Gao, A., Chen, S., Chen, G. H., Wang, X., Zhang, R., Cai, Z., Ji, K., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 10

Machine Vision based Sample-Tube Localization for Mars Sample Return

Daftry, S., Ridge, B., Seto, W., Pham, T.-H., Ilhardt, P., Maggiolino, G., van der Merwe, M., Brinkman, A., Mayo, J., Kulczyski, E., et al. (2021) · 2021 IEEE Aerospace Conference (50100)

Advanced Neural Network ApplicationsPlanetary Science and Exploration

Cited by 10

Embed Attitude from Student on ELearning Using Instructional Design with ADDIE Model

Putu, N. (2015) · International Journal of Advanced Computer Science and Applications

Educational Technology and E-LearningInnovative Education Methods and Tools

Cited by 10

Fairness in AI-driven oncology: investigating racial and gender biases in large language models

Agrawal, A. (2024) · Cureus

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 10

TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning

Wu, M., Norrish, M., Walder, C., & Dezfouli, A. (2021) · arXiv

Logic, programming, and type systemsFormal Methods in Verification

Cited by 10

Analysis of Header Usage Patterns of HTTP Request Messages

Calzarossa, M. C., & Massari, L. (2014) · 2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS)

Web Data Mining and AnalysisInternet Traffic Analysis and Secure E-voting

Cited by 10

Timeseriesflattener: A Python package for summarizing features from (medical) time series.

Bernstorff, M., Enevoldsen, K., Damgaard, J., Danielsen, A., & Hansen, L. (2023) · Journal of Open Source Software

Machine Learning in HealthcareTime Series Analysis and Forecasting

Cited by 10

Doodle Away: An Autoethnographic Exploration of Doodling as a Strategy for Self-Control Strength in Online Spaces

Lewis, M., Sturdee, M., Gamboa, M., & Lengyel, D. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionPersonal Information Management and User Behavior

Cited by 10

A Privacy-Preserving and Identity-Based Personalized Recommendation Scheme for Encrypted Tasks in Crowdsourcing

Yin, H., Xiong, Y., Deng, T., Deng, H., & Zhu, P. (2019) · IEEE Access

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 10

On-the-Fly Attention Modulation for Neural Generation

Dong, Y., Bhagavatula, C., Lu, X., Hwang, J. D., Bosselut, A., Cheung, J. C. K., & Choi, Y. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Topic ModelingNatural Language Processing Techniques

Cited by 10

ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence

Foundation, A. P. (2026) · arXiv

AI-based Problem Solving and PlanningPsychiatry, Mental Health, Neuroscience

Cited by 10

Migrating a Recommendation System to Cloud Using ML Workflow

Chahal, D., Ojha, R., Choudhury, S. R., & Nambiar, M. (2020) · Companion of the ACM/SPEC International Conference on Performance Engineering

Cloud Computing and Resource ManagementRecommender Systems and Techniques

Cited by 10

On the Pragmatics of Requirements Engineering Practices in a Startup Ecosystem

Alves, C., Cunha, J., & Araujo, J. (2020) · 2020 IEEE 28th International Requirements Engineering Conference (RE)

Software Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Cited by 10

Universality of representation in biological and artificial neural networks

Hosseini, E., Casto, C., Zaslavsky, N., Conwell, C., Richardson, M., & Fedorenko, E. (2024) · bioRxiv (Cold Spring Harbor Laboratory)

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 10

Toward a Unified Metadata Schema for Ecological Momentary Assessment with Voice-First Virtual Assistants

Chen, C., Mrini, K., Charles, K., Lifset, E., Hogarth, M., Moore, A., Weibel, N., & Farcas, E. (2021) · CUI 2021 - 3rd Conference on Conversational User Interfaces

Innovative Human-Technology InteractionEmotion and Mood Recognition

Cited by 10

Heterogeneous information fusion for multitarget tracking using the sum-product algorithm

Soldi, G., Gaglione, D., Meyer, F., Hlawatsch, F., Braca, P., Farina, A., & Z. Win, M. (2019) · ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Target Tracking and Data Fusion in Sensor NetworksVideo Surveillance and Tracking Methods

Cited by 10

Agentic Misalignment: How LLMs Could Be Insider Threats

Lynch, A., Wright, B., Larson, C., Ritchie, S. J., Mindermann, S., Hubinger, E., Perez, E., & Troy, K. (2025) · arXiv

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 10

Training Compact Neural Networks with Binary Weights and Low Precision Activations

Zhuang, B., Shen, C., & Reid, I. (2018) · arXiv

Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Cited by 10

LISA: Lexically Intelligent Story Assistant

Sanghrajka, R., Hidalgo, D., Chen, P., & Kapadia, M. (2017) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Artificial Intelligence in GamesNatural Language Processing Techniques

Cited by 10