Check computer science papers: citations, claims and retractions

LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-Judge

Li, S., Xu, C., Wang, J., Gong, X., Chen, C., Zhang, J., Wang, J., Lam, K.-Y., & Ji, S. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 40

Cross-domain detection of GPT-2-generated technical text

Rodriguez, J., Hay, T., Gros, D., Shamsi, Z., & Srinivasan, R. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Authorship Attribution and ProfilingTopic Modeling

Cited by 40

GPT detectors are biased against non-native English writers

Liang, W., Yuksekgonul, M., Mao, Y., Wu, E., & Zou, J. (2023) · arXiv

Authorship Attribution and ProfilingEthics and Social Impacts of AI

Cited by 40

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Li, H., Dong, Q., Chen, J., Su, H., Zhou, Y., Ai, Q., Ye, Z., & Liu, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 40

AgentTuning: Enabling Generalized Agent Abilities for LLMs

Zeng, A., Liu, M., Lu, R., Wang, B., Liu, X., Dong, Y., & Tang, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 40

Learning and inference in parametric switching linear dynamic systems

Oh, S. M., Rehg, J. M., Balch, T., & Dellaert, F. (2005) · Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1

Bayesian Methods and Mixture ModelsControl Systems and Identification

Cited by 40

Toward Delay-Efficient Game-Aware Data Centers for Cloud Gaming

Amiri, M., Osman, H. A., Shirmohammadi, S., & Abdallah, M. (2016) · ACM Transactions on Multimedia Computing, Communications, and Applications

Cloud Computing and Remote Desktop TechnologiesCloud Computing and Resource Management

Cited by 40

Multi-objective Bayesian optimization using Pareto-frontier entropy

Suzuki, S., Takeno, S., Tamura, T., Shitara, K., & Karasuyama, M. (2019) · arXiv

Advanced Multi-Objective Optimization AlgorithmsAdvanced Bandit Algorithms Research

Cited by 40

Multi-Parametric Analysis of Reliability and Energy Consumption in IoT: A Deep Learning Approach

Ateeq, M., Ishmanov, F., Afzal, M. K., & Naeem, M. (2019) · Sensors

Energy Efficient Wireless Sensor NetworksIoT Networks and Protocols

Cited by 40

Unveiling the Implicit Toxicity in Large Language Models

Wen, J., Ke, P., Sun, H., Zhang, Z., Li, C., Bai, J., & Huang, M. (2023) · arXiv

Adversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection

Cited by 40

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Johnson, J., Hariharan, B., van der Maaten, L., Fei-Fei, L., Zitnick, C. L., & Girshick, R. (2016) · arXiv

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 40

Synthesizing partial component-level behavior models from system specifications

Krka, I., Brun, Y., Edwards, G., & Medvidovic, N. (2009) · Proceedings of the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering

Formal Methods in VerificationModel-Driven Software Engineering Techniques

Cited by 40

Using random weights to train multilayer networks of hard-limiting units

Barlett, P. L., & Downs, T. (1992) · IEEE Transactions on Neural Networks

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 40

Synthetic Sensor Data for Human Activity Recognition

Alharbi, F., Ouarbya, L., & Ward, J. A. (2020) · 2020 International Joint Conference on Neural Networks (IJCNN)

Context-Aware Activity Recognition SystemsImbalanced Data Classification Techniques

Cited by 40

Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agents

Smith, E., Hsu, O., Qian, R., Roller, S., Boureau, Y.-L., & Weston, J. (2022) · Proceedings of the 4th Workshop on NLP for Conversational AI

Speech and dialogue systemsEmotion and Mood Recognition

Cited by 40

Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features

Xue, J., Fan, C., Lv, Z., Tao, J., Yi, J., Zheng, C., Wen, Z., Yuan, M., & Shao, S. (2022) · Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 40

Mining clinical phrases from nursing notes to discover risk factors of patient deterioration

Korach, Z. T., Yang, J., Rossetti, S. C., Cato, K. D., Kang, M.-J., Knaplund, C., Schnock, K. O., Garcia, J. P., Jia, H., Schwartz, J. M., et al. (2020) · International Journal of Medical Informatics

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 40

Semantics preserving transformation rules for Prolog

Proietti, M., & Pettorossi, A. (1991) · Proceedings of the 1991 ACM SIGPLAN symposium on Partial evaluation and semantics-based program manipulation - PEPM '91

Logic, programming, and type systemsModel-Driven Software Engineering Techniques

Cited by 40

Long-term topological localisation for service robots in dynamic environments using spectral maps

Krajnik, T., Fentanes, J. P., Mozos, O. M., Duckett, T., Ekekrantz, J., & Hanheide, M. (2014) · 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems

Robotics and Sensor-Based LocalizationIndoor and Outdoor Localization Technologies

Cited by 40

Personalized chatbot trustworthiness ratings

Srivastava, B., Rossi, F., Usmani, S., & Bernagozzi, M. (2020) · IEEE Transactions on Technology and Society

Ethics and Social Impacts of AISpeech and dialogue systems

Cited by 40

Learning an unknown transformation via a genetic approach

Spagnolo, N., Maiorino, E., Vitelli, C., Bentivegna, M., Crespi, A., Ramponi, R., Mataloni, P., Osellame, R., & Sciarrino, F. (2017) · Scientific Reports

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 40

Quantum stabilizer codes embedding qubits into qudits

Cafaro, C., Maiolini, F., & Mancini, S. (2012) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 40

DistB-CVS: A Distributed Secure Blockchain based Online Certificate Verification System from Bangladesh Perspective

Hasan, M., Rahman, A., & Islam, M. J. (2020) · 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT)

Blockchain Technology in Education and LearningBlockchain Technology Applications and Security

Cited by 40

Infinite attention: NNGP and NTK for deep attention networks

Hron, J., Bahri, Y., Sohl-Dickstein, J., & Novak, R. (2020) · arXiv

Gaussian Processes and Bayesian InferenceNeural Networks and Applications

Cited by 40