Most cited computer science papers
- Verified
SkillProbe: Security Auditing for Emerging Agent Skill Marketplaces via Multi-Agent Collaboration
Guo, Z., Chen, Z., Nie, X., Lin, J., Zhou, Y., & Zhang, W. (2026) · arXiv
Adversarial Robustness in Machine LearningAccess Control and Trust
Cited by 0
- Verified
Exact Attention Sensitivity and the Geometry of Transformer Stability
Emadi, S. M. (2026) · arXiv
Topic ModelingStochastic Gradient Optimization Techniques
Cited by 0
- Verified
Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams
Liu, Z., Shi, Z., Sang, Y., He, B., Lin, M., Wei, T., Wang, D., Dumoulin, B., Jin, W., & Lu, H. (2026) · arXiv
Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning
Cited by 0
- Verified
Appreciation Teaches Unauthorized Execution: Self-Evolution Degrades the Robustness of Personal Agents to Indirect Prompt Injection
Wang, X., Liu, X., Shao, J., & Xiao, C. (2026) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 0
- Verified
Understanding the Challenges in Iterative Generative Optimization with LLMs
Nie, A., Daull, X., Kuang, Z., Akkiraju, A., Chaudhuri, A., Piasevoli, M., Rong, R., Yuan, Y., Choudhary, P., Xiao, S., et al. (2026) · arXiv
Evolutionary Algorithms and ApplicationsSoftware Engineering Research
Cited by 0
- Verified
WideSeek: Advancing Wide Research via Multi-Agent Scaling
Huang, Z., Ren, H., Yuan, X., Wang, J., Jiang, Z., Xu, K., He, S., Zhao, J., & Liu, K. (2026) · arXiv
Information Retrieval and Search BehaviorWeb Data Mining and Analysis
Cited by 0
- Verified
Recursive Harness Self-Improvement
Lee, H., Xu, J., Seely, J., Lee, D., Zaharia, M., & Tang, Y. (2026) · arXiv
AI-based Problem Solving and PlanningDomain Adaptation and Few-Shot Learning
Cited by 0
- Verified
Agent Learning via Early Experience
Zhang, K., Chen, X., Liu, B., Xue, T., Liao, Z., Liu, Z., Wang, X., Ning, Y., Chen, Z., Fu, X., et al. (2025) · arXiv
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 0
- Verified
Structured Scaling of AI Discovery Across Diverse Scientific Domains
Ye, H., Lin, H., Tang, J., Luo, Y., Thapa, R., Yang, C., Su, C., Yang, R., Liu, R., Li, R., et al. (2026) · arXiv
Artificial Intelligence ApplicationsTopic Modeling
Cited by 0
- Verified
GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations
Yang, J., Lai, K.-H., Wang, X., Chang, S., Harari, Y., & Gabrilovich, E. (2026) · arXiv
Speech and dialogue systemsTopic Modeling
Cited by 0
- Verified
Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning
Markovic, V., Obradovic, L., Hajdu, L., & Pavlovic, J. (2025) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 0
- Verified
IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web
Guo, H., Zhang, W., Chen, J., Gu, Y., Yang, J., Du, J., Cao, S., Hui, B., Liu, T., Ma, J., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsWeb Data Mining and Analysis
Cited by 0
- Verified
Archon: An Architecture Search Framework for Inference-Time Techniques
Saad-Falcon, J., Lafuente, A. G., Natarajan, S., Maru, N., Todorov, H., Guha, E., Buchanan, E. K., Chen, M., Guha, N., Ré, C., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 0
- Verified
Observation, Not Prediction: Conversation-Level Disaggregated Scheduling for Agentic Serving
Ding, J., Hosseini, R., Gholami, P. M., Xiang, M., & Hoffmann, H. (2026) · arXiv
Parallel Computing and Optimization TechniquesCloud Computing and Resource Management
Cited by 0
- Verified
Zero-shot cross-modal transfer of reinforcement learning policies through a global workspace
Maytié, L., Devillers, B., Arnold, A., & VanRullen, R. (2024) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 0
- Verified
LeRobot: An Open-Source Library for End-to-End Robot Learning
Cadene, R., Aliberts, S., Capuano, F., Aractingi, M., Zouitine, A., Kooijmans, P., Choghari, J., Russi, M., Pascal, C., Palma, S., et al. (2026) · arXiv
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 0
- Verified
Image Compression: Sparse Coding vs. Bottleneck Autoencoders
Watkins, Y., Iaroshenko, O., Sayeh, M., & Kenyon, G. (2018) · 2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)
Advanced Data Compression TechniquesVideo Coding and Compression Technologies
Cited by 0
- Verified
Analyzing Toxicity in Deep Conversations: A Reddit Case Study
Shankaran, V., & Sharma, R. (2024) · arXiv
Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts
Cited by 0
- Verified
Same Scrutiny, More Time: Eye Tracking Insights into Reviewing LLM-Labelled Code
Khojah, R., Gomes de Oliveira Neto, F., Mohamad, M., Frattini, J., & Leitner, P. (2026) · Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 0
- Verified
Evaluación y Comparación de Métricas Objetivas PSNR, SSIM y LPIPS para el Análisis de Calidad de Video
Flores Maza, C., & González Martínez, S. (2025) · Revista Tecnológica - ESPOL
Image and Video Quality AssessmentVideo Coding and Compression Technologies
Cited by 0
- Verified
Query Carefully: Detecting the Unanswerables in Text-to-SQL Tasks
Saxer, J., Aigner, I. M., Linzmeier, L., Weiler, A., & Stockinger, K. (2025) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 0
- Verified
SWE-PRBench: Benchmarking AI Code Review Quality Against Pull Request Feedback
Kumar, D. (2026) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 0
- Verified
Improving Amharic Information Retrieval with Translative and Multi-Agent Debate Retrieval Augmented Generation
Jotie, A. A., & Mitra, P. (2026) · Proceedings of the Language Resources and Evaluation Conference
Topic ModelingInformation Retrieval and Search Behavior
Cited by 0
- Verified
Domain-task mapping framework for multi-view biodiversity comparative genomics visualization: A systematic literature review
Chan, V. S., Mohamed, F. B., Salleh, F. B. M., Iglesias, A., Abdul-Rahman, A., Miga, M., Najjar, F. H., & Cao, C. (2026) · Information Visualization
Data Visualization and AnalyticsScientific Computing and Data Management
Cited by 0
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free