Most cited computer science papers
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Towards automatic assessment of aphasia speech using automatic speech recognition techniques
Qin, Y., Lee, T., Kong, A. P. H., & Law, S. P. (2016) · 2016 10th International Symposium on Chinese Spoken Language Processing (ISCSLP)
Speech Recognition and SynthesisVoice and Speech Disorders
Cited by 7
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Deepfake Detection Based on Incompatibility Between Multiple Modes
Zhang, Y., Zhan, J., Jiang, W., & Fan, Z. (2021) · 2021 International Conference on Intelligent Technology and Embedded Systems (ICITES)
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 7
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Improving Chaotic Image Encryption Using Maps with Small Lyapunov Exponents
Santos, T. A., Magalhaes, E. P., Basilio, N. P., Nepomuceno, E. G., Karimov, T. I., & Butusov, D. N. (2020) · 2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)
Chaos-based Image/Signal EncryptionMathematical Dynamics and Fractals
Cited by 7
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STATISTICAL EVALUATION OF FITTING ACCURACY OF GLOBAL AND LOCAL DIGITAL ELEVATION MODELS IN IRAN
Alidoost, F., & Samadzadegan, F. (2013) · The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Satellite Image Processing and PhotogrammetryGeodetic Measurements and Engineering Structures
Cited by 7
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Elastic Weight Removal for Faithful and Abstractive Dialogue Generation
Daheim, N., Dziri, N., Sachan, M., Gurevych, I., & Ponti, E. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Speech and dialogue systemsTopic Modeling
Cited by 7
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Overthinking the Truth: Understanding how Language Models Process False Demonstrations
Halawi, D., Denain, J.-S., & Steinhardt, J. (2023) · arXiv
Topic ModelingExplainable Artificial Intelligence (XAI)
Cited by 7
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The Design of a Digital Behaviour Change Intervention for Third-Level Student Illicit Substance Use: A Persona Building Approach
Dick, S., Heavin, C., Vasiliou, V. S., Davoren, M. P., Dockray, S., Linehan, C., & Byrne, M. (2020) · Proceedings of the Annual Hawaii International Conference on System Sciences
Persona Design and ApplicationsDigital Mental Health Interventions
Cited by 7
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Bullying Tweets Detection Using CNN- Attention
Alhloul, A., & Alam, A. (2023) · SSRN Electronic Journal
Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining
Cited by 7
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Bringing Machine Learning Classifiers Into Critical Cyber-Physical Systems: A Matter of Design
Sayin, B., Zoppi, T., Marchini, N., Khokhar, F. A., & Passerini, A. (2025) · IEEE Access
Adversarial Robustness in Machine LearningSafety Systems Engineering in Autonomy
Cited by 7
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A Model for Learning-Curve Estimation in Efficient Neural Architecture Search and Its Application in Predictive Health Maintenance
Solís-Martín, D., Galán-Páez, J., & Borrego-Díaz, J. (2025) · Mathematics
Machine Learning and Data ClassificationAdvanced Neural Network Applications
Cited by 7
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Learning From Mistakes Makes LLM Better Reasoner
An, S., Ma, Z., Lin, Z., Zheng, N., Lou, J.-G., & Chen, W. (2023) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 7
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Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
Lei, F., Chen, J., Ye, Y., Cao, R., Shin, D., Su, H., Suo, Z., Gao, H., Hu, W., Yin, P., et al. (2024) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 7
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Behavior Generation with Latent Actions
Lee, S., Wang, Y., Etukuru, H., Kim, H. J., Shafiullah, N. M. M., & Pinto, L. (2024) · arXiv
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 7
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Enhancing LLM Reasoning Capabilities Through Brokered Multi-Expert Reflection
Sheokand, T., Jain, G., Bahga, A., & Madisetti, V. K. (2025) · IEEE Access
Topic ModelingMultimodal Machine Learning Applications
Cited by 7
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Disclosure and Mitigation of Gender Bias in LLMs
Dong, X., Wang, Y., Yu, P. S., & Caverlee, J. (2024) · arXiv
Ethics and Social Impacts of AITopic Modeling
Cited by 7
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Enhancing Large Vision Language Models with Self-Training on Image Comprehension
Deng, Y., Lu, P., Yin, F., Hu, Z., Shen, S., Gu, Q., Zou, J., Chang, K.-W., & Wang, W. (2024) · Advances in Neural Information Processing Systems 37
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 7
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MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
Huang, Y., Shi, J., Li, Y., Fan, C., Wu, S., Zhang, Q., Liu, Y., Zhou, P., Wan, Y., Gong, N. Z., et al. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 7
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Towards Attention-based Contrastive Learning for Audio Spoof Detection
Goel, C., Koppisetti, S., Colman, B., Shahriyari, A., & Bharaj, G. (2023) · INTERSPEECH 2023
Speech Recognition and SynthesisBiometric Identification and Security
Cited by 7
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Integrating Large Language Models and AI Into Blockchain: A Framework for Intelligent Smart Contracts and Fraud Detection
Ahmed, R. H., Sultana, J., Zahid, S., Habib, M. A., Rauf, A., & Hussain, M. (2025) · IEEE Access
Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning
Cited by 7
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MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
Chan, J. S., Chowdhury, N., Jaffe, O., Aung, J., Sherburn, D., Mays, E., Starace, G., Liu, K., Maksin, L., Patwardhan, T., et al. (2024) · arXiv
AI-based Problem Solving and PlanningMachine Learning and Algorithms
Cited by 7
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Fault-tolerant quantum computation with a neutral atom processor
Reichardt, B. W., Paetznick, A., Aasen, D., Basov, I., Bello-Rivas, J. M., Bonderson, P., Chao, R., van Dam, W., Hastings, M. B., Mishmash, R. V., et al. (2024) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 7
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Effectiveness of augmented reality technology in improving navigation performance: a systematic review and meta-analysis
Man, S. S., Su, P., Xiao, C., Yun, H., & Chan, A. H. S. (2026) · Ergonomics
Augmented Reality ApplicationsSpatial Cognition and Navigation
Cited by 7
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AI Alignment with Changing and Influenceable Reward Functions
Carroll, M., Foote, D., Siththaranjan, A., Russell, S., & Dragan, A. (2024) · arXiv
Ethics and Social Impacts of AIReinforcement Learning in Robotics
Cited by 7
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A Comparison of Approaches to Document-level Machine Translation
Ma, Z., Edunov, S., & Auli, M. (2021) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 7
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