Most cited computer science papers
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Behavioral intention of mental health practitioners toward the adoption of virtual humans in affect recognition training
García, A. S., Fernández-Sotos, P., González, P., Navarro, E., Rodriguez-Jimenez, R., & Fernández-Caballero, A. (2022) · Frontiers in Psychology
Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI
Cited by 7
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Amortized Hypothesis Generation
Dasgupta, I., Schulz, E., Goodman, N. D., & Gershman, S. J. (2017) · bioRxiv (Cold Spring Harbor Laboratory)
Bayesian Modeling and Causal InferenceCognitive Science and Education Research
Cited by 7
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ColPali: Efficient Document Retrieval with Vision Language Models
Faysse, M., Sibille, H., Wu, T., Omrani, B., Viaud, G., Hudelot, C., & Colombo, P. (2024) · arXiv
Multimodal Machine Learning ApplicationsHandwritten Text Recognition Techniques
Cited by 7
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Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
Shi, Z., Wang, Y., Yan, L., Ren, P., Wang, S., Yin, D., & Ren, Z. (2025) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 7
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NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
Holmes, C., Zhang, M., He, Y., & Wu, B. (2021) · arXiv
Advanced Neural Network ApplicationsTopic Modeling
Cited by 7
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Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform
Demszky, D., Wang, R., Geraghty, S., & Yu, C. (2024) · Proceedings of the 14th Learning Analytics and Knowledge Conference
Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods
Cited by 7
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Automated Hypothesis Validation with Agentic Sequential Falsifications
Huang, K., Jin, Y., Li, R., Li, M. Y., Candès, E., & Leskovec, J. (2025) · arXiv
Artificial Intelligence ApplicationsScientific Computing and Data Management
Cited by 7
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CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
Pourreza, M., Li, H., Sun, R., Chung, Y., Talaei, S., Kakkar, G. T., Gan, Y., Saberi, A., Ozcan, F., & Arik, S. O. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 7
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Paradoxes of Openness and Trans Experiences in Open Source Software
Frluckaj, H., Howison, J., Dabbish, L., & Stevens, N. (2024) · arXiv
Open Source Software InnovationsSoftware Engineering Techniques and Practices
Cited by 7
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Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark
Wretblad, N., Riseby, F. G., Biswas, R., Ahmadi, A., & Holmström, O. (2024) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 7
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SWE-Bench+: Enhanced Coding Benchmark for LLMs
Aleithan, R., Xue, H., Mohajer, M. M., Nnorom, E., Uddin, G., & Wang, S. (2024) · arXiv
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 7
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The Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models
Shi, Y., Xiao, Q., Hu, Q., Shen, H., & Shen, H. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Ethics and Social Impacts of AIInnovative Human-Technology Interaction
Cited by 7
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Timeline Summarization in the Era of LLMs
Sojitra, D., Jain, R., Saha, S., Jatowt, A., & Gupta, M. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Topic ModelingAdvanced Text Analysis Techniques
Cited by 7
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Lethal autonomous weapons
Javorsky, E., Tegmark, M., & Helfand, I. (2019) · BMJ
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 7
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TTRL: Test-Time Reinforcement Learning
Zuo, Y., Zhang, K., Sheng, L., Qu, S., Cui, G., Zhu, X., Li, H., Zhang, Y., Long, X., Hua, E., et al. (2025) · arXiv
Topic ModelingReinforcement Learning in Robotics
Cited by 7
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InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent
Chen, P.-L., & Chang, C.-S. (2023) · arXiv
AI-based Problem Solving and PlanningRobot Manipulation and Learning
Cited by 7
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Code conversion with the quantum Golay code for a universal transversal gate set
Sullivan, M. (2024) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 7
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PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions
Chen, A., Pasupat, P., Singh, S., Lee, H., & Guu, K. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 7
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A Tensor‐based Regression Approach for Human Motion Prediction
Gril, L., Wedenig, P., Torkar, C., & Kleb, U. (2023) · Quality and Reliability Engineering International
Human Motion and AnimationTime Series Analysis and Forecasting
Cited by 7
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External Imagery in Computer Programming
Ditton, J., Swanson, H., & Edwards, J. (2021) · Proceedings of the 52nd ACM Technical Symposium on Computer Science Education
Teaching and Learning ProgrammingSport Psychology and Performance
Cited by 7
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Automatic Recommendation of Online Music Tracks Based on Deep Learning
Gao, H. (2022) · Mathematical Problems in Engineering
Recommender Systems and TechniquesMusic and Audio Processing
Cited by 7
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Specific versus General Principles for Constitutional AI
Kundu, S., Bai, Y., Kadavath, S., Askell, A., Callahan, A., Chen, A., Goldie, A., Balwit, A., Mirhoseini, A., McLean, B., et al. (2023) · arXiv
Ethics and Social Impacts of AISpeech and dialogue systems
Cited by 7
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A Novel Framework for Enhancing Decision-Making in Autonomous Cyber Defense Through Graph Embedding
Wang, Z., Wang, Y., Xiong, X., Ren, Q., & Huang, J. (2025) · Entropy
Network Security and Intrusion DetectionInformation and Cyber Security
Cited by 7
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Instance-Specific Image Goal Navigation: Training Embodied Agents to Find Object Instances
Krantz, J., Lee, S., Malik, J., Batra, D., & Chaplot, D. S. (2022) · arXiv
Reinforcement Learning in RoboticsSpatial Cognition and Navigation
Cited by 7
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