Check computer science papers: citations, claims and retractions

How Many Demonstrations Do You Need for In-context Learning?

Chen, J., Chen, L., Zhu, C., & Zhou, T. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 12

Environment Generation for Zero-Shot Compositional Reinforcement Learning

Gur, I., Jaques, N., Miao, Y., Choi, J., Tiwari, M., Lee, H., & Faust, A. (2022) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 12

Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations

Dalla Serra, F., Clackett, W., MacKinnon, H., Wang, C., Deligianni, F., Dalton, J., & O’Neil, A. Q. (2022) · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 12

TÜLU 3: Pushing Frontiers in Open Language Model Post-Training

Lambert, N., Morrison, J., Pyatkin, V., Huang, S., Ivison, H., Brahman, F., Miranda, L. J. V., Liu, A., Dziri, N., Lyu, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

Escape the Planet: Empowering Student Designers to Create a Science-Based Escape Room with Augmented Reality

Vicari, C. (2020) · International Journal of Designs for Learning

Augmented Reality ApplicationsEducational Games and Gamification

Cited by 12

Calibrating LLM-Based Evaluator

Liu, Y., Yang, T., Huang, S., Zhang, Z., Huang, H., Wei, F., Deng, W., Sun, F., & Zhang, Q. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

Analysis of Root Displacement Interpolation Method for Tunable Allpass Fractional-Delay Filters

Hacihabiboglu, H., Gunel, B., & Kondoz, A. M. (2007) · IEEE Transactions on Signal Processing

Digital Filter Design and ImplementationAdvanced Adaptive Filtering Techniques

Cited by 12

Verified Code Transpilation with LLMs

Bhatia, S., Qiu, J., Hasabnis, N., Seshia, S., & Cheung, A. (2024) · Advances in Neural Information Processing Systems 37

Logic, programming, and type systemsSoftware Engineering Research

Cited by 12

Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction

Cai, S., Wang, Z., Ma, X., Liu, A., & Liang, Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 12

Digital Evidence Chain of Custody: Navigating New Realities of Digital Forensics

Nath, S., Summers, K., Baek, J., & Ahn, G.-J. (2024) · 2024 IEEE 6th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS-ISA)

Digital and Cyber ForensicsEducation, Law, and Society

Cited by 12

Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needs

Johnson, N., Silva, E., Leon, H., Eslami, M., Schwanke, B., Dotan, R., & Heidari, H. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIPublic Procurement and Policy

Cited by 12

Visual adversarial imitation learning using variational models

Rafailov, R., Yu, T., Rajeswaran, A., & Finn, C. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 12

The prospects of Monte Carlo antibody loop modelling on a fault-tolerant quantum computer

Allcock, J., Vangone, A., Meyder, A., Adaszewski, S., Strahm, M., Hsieh, C.-Y., & Zhang, S. (2022) · Frontiers in Drug Discovery

Quantum Computing Algorithms and ArchitectureComputational Drug Discovery Methods

Cited by 12

Configurable Agent With Reward As Input: A Play-Style Continuum Generation

Le Pelletier de Woillemont, P., Labory, R., & Corruble, V. (2021) · 2021 IEEE Conference on Games (CoG)

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 12

A General Protocol to Probe Large Vision Models for 3D Physical Understanding

Zhan, G., Zheng, C., Xie, W., & Zisserman, A. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 12

Better safe than sorry: Risk management based on a safety-augmented network intrusion detection system

Brenner, B., Hollerer, S., Bhosale, P., Sauter, T., Kastner, W., Fabini, J., & Zseby, T. (2023) · IEEE Open Journal of the Industrial Electronics Society

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 12

A Systematic Approach for Evaluating Artificial Intelligence Models in Industrial Settings

Benedick, P.-L., Robert, J., & Le Traon, Y. (2021) · Sensors

Adversarial Robustness in Machine LearningTime Series Analysis and Forecasting

Cited by 12

Beyond Money: Incentive Effects of Tokenized Ownership on User Contribution in DAOs

Chen, K., Fan, Y., Fang, Y., & Luo, X. (. (2025) · Journal of Operations Management

Blockchain Technology Applications and SecurityOpen Source Software Innovations

Cited by 12

Using engraved QR codes to connect building components to materials passports for circular construction

Byers, B. S., Cheriyamulla, S., Ewason, J., Hall, D. M., & De Wolf, C. (2022) · Computing in Construction

QR Code Applications and TechnologiesBIM and Construction Integration

Cited by 12

Topological signatures for fast mobility analysis

Ghosh, A., Rozemberczki, B., Ramamoorthy, S., & Sarkar, R. (2018) · Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Data Management and AlgorithmsTopological and Geometric Data Analysis

Cited by 12

How Not to Handle Keys: Timing Attacks on FIDO Authenticator Privacy

Kepkowski, M., Hanzlik, L., Wood, I., & Kaafar, M. A. (2022) · Proceedings on Privacy Enhancing Technologies

Advanced Authentication Protocols SecurityUser Authentication and Security Systems

Cited by 12

Quality-based Artifact Modeling for Facial Deepfake Detection in Videos

Concas, S., La Cava, S. M., Casula, R., Orrù, G., Puglisi, G., & Marcialis, G. L. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionImage and Video Quality Assessment

Cited by 12

The Efficiency Spectrum of Large Language Models: An Algorithmic Survey

Ding, T., Chen, T., Zhu, H., Jiang, J., Zhong, Y., Zhou, J., Wang, G., Zhu, Z., Zharkov, I., & Liang, L. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

Detecting malicious IoT network communication through Graph Neural Networks in real-world conditions

Carletti, V., Foggia, P., Rosa, F., & Vento, M. (2025) · Pattern Recognition Letters

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 12