Check computer science papers: citations, claims and retractions

AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

Chen, M., Li, Y., Yang, Y., Yu, S., Lin, B., & He, X. (2024) · Advances in Neural Information Processing Systems 37

Natural Language Processing TechniquesAI-based Problem Solving and Planning

Cited by 8

UniForensics: Face Forgery Detection via General Facial Representation

Fang, Z., Zhao, H., Wei, T., Zhou, W., Wan, M., Wang, Z., Zhang, W., & Yu, N. (2024) · arXiv

Digital Media Forensic DetectionFace recognition and analysis

Cited by 8

Futures with Digital Minds: Expert Forecasts in 2025

Caviola, L., & Saad, B. (2025) · arXiv

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 8

Attention Score is not All You Need for Token Importance Indicator in KV Cache Reduction: Value Also Matters

Guo, Z., Kamigaito, H., & Watanabe, T. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8

Conceptual Explanations of Neural Network Prediction for Time Series

Kusters, F., Schichtel, P., Ahmed, S., & Dengel, A. (2020) · 2020 International Joint Conference on Neural Networks (IJCNN)

Explainable Artificial Intelligence (XAI)Time Series Analysis and Forecasting

Cited by 8

BatGPT: A Bidirectional Autoregessive Talker from Generative Pre-trained Transformer

Li, Z., Zhang, S., Zhao, H., Yang, Y., & Yang, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8

Ranking Manipulation for Conversational Search Engines

Pfrommer, S., Bai, Y., Gautam, T., & Sojoudi, S. (2024) · arXiv

Adversarial Robustness in Machine LearningInformation Retrieval and Search Behavior

Cited by 8

Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations

Yuan, L., Chen, Y., Cui, G., Gao, H., Zou, F., Cheng, X., Ji, H., Liu, Z., & Sun, M. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 8

Massive Editing for Large Language Models via Meta Learning

Tan, C., Zhang, G., & Fu, J. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 8

Understanding photonic quantum-logic gates: The road to fault tolerance

Weinhold, T. J., Gilchrist, A., Resch, K. J., Doherty, A. C., O'Brien, J. L., Pryde, G. J., & White, A. G. (2008) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 8

Developing a computable phenotype for identifying children, adolescents, and young adults with diabetes using electronic health records in the DiCAYA Network.

Shao, H., Thorpe, L. E., Islam, S., Bian, J., Guo, Y., Li, P., Bost, S., Dabelea, D., Conway, R., Crume, T., et al. (2025) · Diabetes Care

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 8

PDDL Generators

Seipp, J., Torralba, Á., & Hoffmann, J. (2022) · Zenodo

AI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge

Cited by 8

Edge-cloud synergy: unleashing the potential of parallel processing for big data analytics

Singh, R., & Kiss, T. (2022) · 2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 8

Navigating Ethics of AI-Powered Creativity in Midjourney

Naik, T., Gostu, H., & Sharma, R. (2024) · 2024 3rd International Conference for Innovation in Technology (INOCON)

Ethics and Social Impacts of AIDigital Media and Visual Art

Cited by 8

Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs

Laine, R., Chughtai, B., Betley, J., Hariharan, K., Scheurer, J., Balesni, M., Hobbhahn, M., Meinke, A., & Evans, O. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingEthics and Social Impacts of AI

Cited by 8

DAWN: Designing Distributed Agents in a Worldwide Network

Aminiranjbar, Z., Tang, J., Wang, Q., Pant, S., & Viswanathan, M. (2024) · arXiv

Multi-Agent Systems and NegotiationAdvanced Software Engineering Methodologies

Cited by 8

Unconventional quantum annealing methods for difficult trial problems

Tang, Z., & Kapit, E. (2021) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 8

Benchmarking Audio Deepfake Detection Robustness in Real-World Communication Scenarios

Shi, H., Shi, X., Dogan, S., Alzubi, S., Huang, T., & Zhang, Y. (2025) · 2025 33rd European Signal Processing Conference (EUSIPCO)

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 8

Reuse of e-learning personalization components

Ghallabi, S., Essalmi, F., Jemni, M., & Kinshuk (2022) · Smart Learning Environments

Intelligent Tutoring Systems and Adaptive LearningOpen Education and E-Learning

Cited by 8

Increasing confidence in adversarial robustness evaluations

Zimmermann, R. S., Brendel, W., Tramer, F., & Carlini, N. (2022) · Advances in Neural Information Processing Systems 35

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 8

Towards the systemic review of automated decision-making systems

Chauhan, A. (2020) · Judicial Review

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 8

Scaling Retrieval-Based Language Models with a Trillion-Token Datastore

Shao, R., He, J., Asai, A., Shi, W., Dettmers, T., Min, S., Zettlemoyer, L., & Koh, P. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingInformation Retrieval and Search Behavior

Cited by 8

Inferring mental overload based on postural behavior and gestures

Hihn, H., Meudt, S., & Schwenker, F. (2016) · Proceedings of the 2nd workshop on Emotion Representations and Modelling for Companion Systems

Emotion and Mood RecognitionGaze Tracking and Assistive Technology

Cited by 8

Physics of Language Models: Part 3.2, Knowledge Manipulation

Allen-Zhu, Z., & Li, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8