Check computer science papers: citations, claims and retractions

SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?

Miserendino, S., Wang, M., Patwardhan, T., & Heidecke, J. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 5

ENTANGLED QUANTUM STATES AND A C++ IMPLEMENTATION

STEEB, W.-H., & HARDY, Y. (2000) · International Journal of Modern Physics C

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 5

Automating Moral Reasoning (Invited Paper)

Slavkovik, M. (2022) · Schloss Dagstuhl – Leibniz-Zentrum für Informatik

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 5

CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

Du, Z., Wang, Y., Chen, Q., Shi, X., Lv, X., Zhao, T., Gao, Z., Yang, Y., Gao, C., Wang, H., et al. (2024) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 5

Amnesiac Machine Learning

Graves, L., Nagisetty, V., & Ganesh, V. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 5

Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis

Zhang, Z., Wang, R., Li, T., Sun, L., Lau, V. K. N., & Huang, K. (2021) · 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

Distributed Sensor Networks and Detection AlgorithmsIoT and Edge/Fog Computing

Cited by 5

Paradoxes of Openness: Trans Experiences in Open Source Software

Frluckaj, H., Stevens, N., Howison, J., & Dabbish, L. (2024) · Proceedings of the ACM on Human-Computer Interaction

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 5

Agent Workflow Memory

Wang, Z. Z., Mao, J., Fried, D., & Neubig, G. (2024) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 5

Deisgn of look-up table based architecture for wideband beamforming

Hu, Z., Guo, N., Qiu, R., Bonior, J., Liou, L., Lin, D., Longbrake, M., Buxa, P., Dalrymple, T., Hong, S., et al. (2010) · 2010 International Waveform Diversity and Design Conference

Direction-of-Arrival Estimation TechniquesRadar Systems and Signal Processing

Cited by 5

Random-Access Infinite Context Length for Transformers

Mohtashami, A., & Jaggi, M. (2023) · Advances in Neural Information Processing Systems 36

Topic ModelingNatural Language Processing Techniques

Cited by 5

Study and Analysis of the Influence of UX in MIUI—A Case Study on Xiaomi

C. G., T., & Devi, A. J. (2021) · International Journal of Case Studies in Business, IT, and Education

Usability and User Interface DesignBusiness Strategies and Innovation

Cited by 5

Uncertainty Based Camera Model Selection

Polic, M., Steidl, S., Albl, C., Kukelova, Z., & Pajdla, T. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Vision and Imaging3D Surveying and Cultural Heritage

Cited by 5

Contextual Position Encoding: Learning to Count What's Important

Golovneva, O., Wang, T., Weston, J., & Sukhbaatar, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

Phishing Detection in Advanced QR Code Attacks: Challenges and AI-Driven Solutions

Trivedi, A. (2025) · International Journal for Research in Applied Science and Engineering Technology

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 5

ReMatch: Retrieval Enhanced Schema Matching with LLMs

Sheetrit, E., Brief, M., Mishaeli, M., & Elisha, O. (2024) · arXiv

Semantic Web and OntologiesAdvanced Database Systems and Queries

Cited by 5

Faster Parameter-Efficient Tuning with Token Redundancy Reduction

Kim, K., Park, J., Kim, J., Kwon, H., & Sohn, K. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 5

On the Need to Rethink Trust in AI Assistants for Software Development: A Critical Review

Baltes, S., Speith, T., Chiteri, B., Mohsenimofidi, S., Chakraborty, S., & Buschek, D. (2026) · IEEE Transactions on Software Engineering

Software Engineering Techniques and PracticesHuman-Automation Interaction and Safety

Cited by 5

Effects of correctness and suggestive feedback on learning with an autonomous virtual trainer

Shang, X., Kallmann, M., & Arif, A. S. (2019) · Companion Proceedings of the 24th International Conference on Intelligent User Interfaces

Virtual Reality Applications and ImpactsIntelligent Tutoring Systems and Adaptive Learning

Cited by 5

SwipeRing: Gesture Typing on Smartwatches Using a Segmented QWERTY Around the Bezel

Rakhmetulla, G., & Arif, A. (2021) · Junction Publishing

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 5

Design and evaluation of a global workspace agent embodied in a realistic multimodal environment

Dossa, R. F. J., Arulkumaran, K., Juliani, A., Sasai, S., & Kanai, R. (2024) · Frontiers in Computational Neuroscience

Psychiatry, Mental Health, NeurosciencePhilosophy and Theoretical Science

Cited by 5

VID: Human identification through vein patterns captured from commodity depth cameras

Shah, S. W., Kanhere, S. S., Zhang, J., & Yao, L. (2021) · IET Biometrics

Biometric Identification and SecurityGait Recognition and Analysis

Cited by 5

Simple linear attention language models balance the recall-throughput tradeoff

Arora, S., Eyuboglu, S., Zhang, M., Timalsina, A., Alberti, S., Zinsley, D., Zou, J., Rudra, A., & Ré, C. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes

Gothoskar, N., Ghavami, M., Li, E., Curtis, A., Noseworthy, M., Chung, K., Patton, B., Freeman, W. T., Tenenbaum, J. B., Klukas, M., et al. (2023) · arXiv

3D Shape Modeling and AnalysisRobot Manipulation and Learning

Cited by 5

ChatBench: From Static Benchmarks to Human-AI Evaluation

Chang, S., Anderson, A., & Hofman, J. M. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 5