Most cited computer science papers
- Verified
How do Copilot Suggestions Impact Developers' Frustration and Productivity?
Guglielmi, E., Arnoudova, V., Bavota, G., Oliveto, R., & Scalabrino, S. (2025) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 1
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IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation
Jiang, Y., Li, Q., Xu, B., Sun, H., Ding, C., Dong, J., Cai, Y., Zhang, X., & Yin, J. (2026) · arXiv
Multimodal Machine Learning ApplicationsMedical Image Segmentation Techniques
Cited by 1
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RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms
Ghignone, E., Baumann, N., Hu, C., Wang, J., Xie, L., Carron, A., & Magno, M. (2025) · 2025 IEEE International Conference on Robotics and Automation (ICRA)
Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety
Cited by 1
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Seedance 1.0: Exploring the Boundaries of Video Generation Models
Gao, Y., Guo, H., Hoang, T., Huang, W., Jiang, L., Kong, F., Li, H., Li, J., Li, L., Li, X., et al. (2025) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 1
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Mechanistic interpretability for steering vision-language-action models
Häon, B., Stocking, K., Chuang, I., & Tomlin, C. (2025) · arXiv
Explainable Artificial Intelligence (XAI)Robot Manipulation and Learning
Cited by 1
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Complacent, Not Sycophantic: Reframing Large Language Models and Designing AI Literacy for Complacent Machines
Germani, F., & Spitale, G. (2026) · arXiv
Ethics and Social Impacts of AIArtificial Intelligence in Education
Cited by 1
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LLM-as-a-Judge & Reward Model: What They Can and Cannot Do
Son, G., Ko, H., Lee, H., Kim, Y., & Hong, S. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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Research on sensor dirt recognition of autonomous vehicle camera based on deep learning
Wu, Z., Wang, Y., Ran, L., Hu, Z., Liu, Z., Ding, X., Chen, Z., Shi, Y., & Gao, Z. (2024) · Second International Conference on Informatics, Networking, and Computing (ICINC 2023)
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 1
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Rag-star: Enhancing deliberative reasoning with retrieval augmented verification and refinement
Jiang, J., Chen, J., Li, J., Ren, R., Wang, S., Zhao, W. X., Song, Y., & Zhang, T. (2024) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 1
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Contrastive Difference Predictive Coding
Zheng, C., Salakhutdinov, R., & Eysenbach, B. (2023) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 1
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FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
Ma, L., Sun, M., & Shen, Z. (2024) · arXiv
Advanced Neural Network ApplicationsTopic Modeling
Cited by 1
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Adversaries Can Misuse Combinations of Safe Models
Jones, E., Dragan, A., & Steinhardt, J. (2024) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 1
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A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
Henaff, M., Jiang, M., & Raileanu, R. (2023) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 1
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Artificial Intelligence Serving Decision-Making in Marketing
Cloarec, J., Macé, S., & Pauwels, K. (2024) · Décisions Marketing
Artificial Intelligence ApplicationsAI in Service Interactions
Cited by 1
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Multi-Head CNN-based Software Development Risk Classification
Ziana M., A., & J., C. (2023) · International journal of electrical and computer engineering systems
Software Engineering Techniques and PracticesSoftware Engineering Research
Cited by 1
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Beyond Accuracy: Rethinking Hallucination and Regulatory Response in Generative AI
Li, Z., Yi, W., & Chen, J. (2025) · arXiv
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 1
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Visual Structures Helps Visual Reasoning: Addressing the Binding Problem in VLMs
Izadi, A., Banayeeanzade, M. A., Askari, F., Rahimiakbar, A., Vahedi, M. M., Hasani, H., & Baghshah, M. S. (2025) · arXiv
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 1
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FormalAlign: Automated Alignment Evaluation for Autoformalization
Lu, J., Wan, Y., Huang, Y., Xiong, J., Liu, Z., & Guo, Z. (2024) · arXiv
Mathematics, Computing, and Information ProcessingLogic, programming, and type systems
Cited by 1
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AlphaMaze: Enhancing Large Language Models' Spatial Intelligence via GRPO
Dao, A., & Vu, D. B. (2025) · arXiv
Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics
Cited by 1
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ReFT: Reasoning with Reinforced Fine-Tuning
Luong, T. Q., Zhang, X., Jie, Z., Sun, P., Jin, X., & Li, H. (2024) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 1
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SWE-Bench Mobile: Can Large Language Model Agents Develop Industry-Level Mobile Applications?
Tian, M., Wang, Z., Tang, Z., Yang, B., Zhu, K., Dong, H., Li, H., Xie, X., Wang, G., & You, J. (2026) · Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 1
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Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents
Hua, Y., Chen, H., Wang, S., Li, W., Wang, X., & Luo, J. (2025) · arXiv
Multi-Agent Systems and NegotiationGame Theory and Voting Systems
Cited by 1
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Chinchilla Scaling: A replication attempt
Besiroglu, T., Erdil, E., Barnett, M., & You, J. (2024) · arXiv
Parallel Computing and Optimization TechniquesMachine Learning and Data Classification
Cited by 1
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Biometrics: leap of faith or fact of life?
Canham, J. (2018) · Biometric Technology Today
Biometric Identification and SecurityUser Authentication and Security Systems
Cited by 1
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