Check computer science papers: citations, claims and retractions

DB-GPT: Empowering Database Interactions with Private Large Language Models

Xue, S., Jiang, C., Shi, W., Cheng, F., Chen, K., Yang, H., Zhang, Z., He, J., Zhang, H., Wei, G., et al. (2023) · arXiv

Advanced Database Systems and QueriesTopic Modeling

Cited by 7

Exploring Learners' Interactions with GenAI Agents in Educational Games: Typologies and Emotional Factors in Human-Computer Interaction

Chen, Z., Xiong, Z., Ruan, X., Jiang, S., Wei, W., & Fang, K. (2024) · 2024 4th International Conference on Educational Technology (ICET)

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 7

Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Zheng, L., Wang, R., Wang, X., & An, B. (2023) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 7

WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Li, X., Jin, J., Dong, G., Qian, H., Wu, Y., Wen, J.-R., Zhu, Y., & Dou, Z. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 7

Physical Fingerprinting of Ultrasonic Sensors and Applications to Sensor Security

Cheek, E., Khuttan, D., Changalvala, R., & Malik, H. (2020) · 2020 IEEE 6th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application (DependSys)

Wireless Signal Modulation ClassificationPhysical Unclonable Functions (PUFs) and Hardware Security

Cited by 7

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Zhang, G., Fu, M., Wang, K., Wan, F., Yu, M., & Yan, S. (2025) · Advances in Neural Information Processing Systems 38

Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning

Cited by 7

Searching for Best Practices in Retrieval-Augmented Generation

Wang, X., Wang, Z., Gao, X., Zhang, F., Wu, Y., Xu, Z., Shi, T., Wang, Z., Li, S., Qian, Q., et al. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 7

Occlusion resistant learning of intuitive physics from videos

Riochet, R., Sivic, J., Laptev, I., & Dupoux, E. (2020) · arXiv

Advanced Vision and ImagingRobot Manipulation and Learning

Cited by 7

In-Context Learning with Long-Context Models: An In-Depth Exploration

Bertsch, A., Ivgi, M., Xiao, E., Alon, U., Berant, J., Gormley, M. R., & Neubig, G. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 7

A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses

Donnat, C., Miolane, N., Bunbury, F., & Kreindler, J. (2020) · arXiv

Bayesian Modeling and Causal InferenceBayesian Methods and Mixture Models

Cited by 7

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Chu, T., Zhai, Y., Yang, J., Tong, S., Xie, S., Schuurmans, D., Le, Q. V., Levine, S., & Ma, Y. (2025) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 7

Bypassing LLM Watermarks with Color-Aware Substitutions

Wu, Q., & Chandrasekaran, V. (2024) · arXiv

Adversarial Robustness in Machine LearningAdvanced Steganography and Watermarking Techniques

Cited by 7

Automated CVE Analysis for Threat Prioritization and Impact Prediction

Aghaei, E., Al-Shaer, E., Shadid, W., & Niu, X. (2023) · arXiv

Web Application Security VulnerabilitiesInformation and Cyber Security

Cited by 7

Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory

Liu, L., Yang, X., Shen, Y., Hu, B., Zhang, Z., Gu, J., & Zhang, G. (2023) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 7

AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark

Becker, S., Vielhaben, J., Ackermann, M., Müller, K.-R., Lapuschkin, S., & Samek, W. (2018) · arXiv

Explainable Artificial Intelligence (XAI)Music and Audio Processing

Cited by 7

Creative and Strategic Capabilities of Generative Ai: Evidence from Large-Scale Experiments

Bohren, N., Hakimov, R., & Lalive, R. (2024) · SSRN Electronic Journal

Artificial Intelligence ApplicationsCreativity in Education and Neuroscience

Cited by 7

LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions

Liao, Z., Antoniak, M., Cheong, I., Cheng, E. Y.-Y., Lee, A.-H., Lo, K., Chang, J. C., & Zhang, A. X. (2024) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 7

Exploring Green AI for Audio Deepfake Detection

Saha, S., Sahidullah, M., & Das, S. (2024) · 2024 32nd European Signal Processing Conference (EUSIPCO)

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 7

Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs

Chen, A., Phang, J., Parrish, A., Padmakumar, V., Zhao, C., Bowman, S. R., & Cho, K. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7

Parallel implementation of GCM on GPUs

Lee, J., Kim, D., & Seo, S. C. (2025) · ICT Express

Cryptographic Implementations and SecurityCryptography and Residue Arithmetic

Cited by 7

AST-T5: Structure-aware pretraining for code generation and understanding

Gong, L., Elhoushi, M., & Cheung, A. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 7

Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming

Sharma, M., Tong, M., Mu, J., Wei, J., Kruthoff, J., Goodfriend, S., Ong, E., Peng, A., Agarwal, R., Anil, C., et al. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 7

Scaling Scaling Laws with Board Games

Jones, A. L. (2021) · arXiv

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 7

Editorial: The Use of Virtual-Reality Interventions in Reducing Anxiety

Premkumar, P., Heym, N., Anderson, P. L., Brown, D., & Sumich, A. (2022) · Frontiers in Virtual Reality

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 7