Most cited computer science papers
- Verified
Person identity shift for privacy-preserving person re-identification
Dou, S., Jiang, X., Zhao, Q., Wang, Y., Li, D., & Zhao, C. (2026) · Science China Information Sciences
Video Surveillance and Tracking MethodsPrivacy-Preserving Technologies in Data
Cited by 2
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O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
Luo, H., Shen, L., He, H., Wang, Y., Liu, S., Li, W., Tan, N., Cao, X., & Tao, D. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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A Statistical Physics of Language Model Reasoning
Carson, J. D., & Reisizadeh, A. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling
Huang, Y., Song, J., Hu, Q., Juefei-Xu, F., & Ma, L. (2024) · arXiv
Software Testing and Debugging TechniquesTopic Modeling
Cited by 2
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JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking
Niu, T., Joty, S., Liu, Y., Xiong, C., Zhou, Y., & Yavuz, S. (2024) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 2
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GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning
Xiang, Z., Zheng, L., Li, Y., Hong, J., Li, Q., Xie, H., Zhang, J., Xiong, Z., Xie, C., Yang, C., et al. (2024) · arXiv
Adversarial Robustness in Machine LearningAccess Control and Trust
Cited by 2
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The Necessity of Setting Temperature in LLM-as-a-Judge
Li, L., Sleem, L., Xu, Y., Song, Y., Jia, A., Francois, J., & State, R. (2026) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off
Giboulot, E., & Furon, T. (2024) · arXiv
Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning
Cited by 2
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Pre-Storage Reasoning for Episodic Memory: Shifting Inference Burden to Memory for Personalized Dialogue
Kim, S., Lee, Y., Kim, S., Kim, H., & Cho, S. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025
Speech and dialogue systemsAI in Service Interactions
Cited by 2
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DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
Du, M., Xu, B., Zhu, C., Wang, X., & Mao, Z. (2025) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 2
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DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
Singhvi, A., Shetty, M., Tan, S., Potts, C., Sen, K., Zaharia, M., & Khattab, O. (2023) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 2
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Narrative affordance: towards a model of the foreseeability and perceivability of story elements in an interactive narrative
Cardona-Rivera, R. E. (2011) · Proceedings of the 6th International Conference on Foundations of Digital Games
Artificial Intelligence in GamesNarrative Theory and Analysis
Cited by 2
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Mem2ActBench: A Benchmark for Evaluating Long-Term Memory Utilization in Task-Oriented Autonomous Agents
Shen, Y., Li, K., Zhou, W., & Hu, S. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Speech and dialogue systemsAI-based Problem Solving and Planning
Cited by 2
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PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling
Cai, Z., Zhang, Y., Gao, B., Liu, Y., Li, Y., Liu, T., Lu, K., Xiong, W., Dong, Y., Hu, J., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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Qwen3-Coder-Next Technical Report
Cao, R., Chen, M., Chen, J., Cui, Z., Feng, Y., Hui, B., Jing, Y., Li, K., Li, M., Lin, J., et al. (2026) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 2
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SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents
Wang, Y., Shi, Y., Yang, M., Zhang, R., He, S., Lian, H., Chen, Y., Ye, S., Cai, K., & Gu, X. (2026) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 2
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Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems
Louck, Y., Stulman, A., & Dvir, A. (2026) · ACM Transactions on Software Engineering and Methodology
Access Control and TrustPrivacy, Security, and Data Protection
Cited by 2
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Boarding Alighting Counting in Different Transit Vehicles under Crowded Conditions
Rawat, N., Jeengar, K., Agarwal, A., & Kaur Chahal, R. J. (2024) · 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 2
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Editorial: Virtual Reality and Mental Health: Opportunities to Advance Research and Practice
Baghaei, N., Liang, H.-N., Billinghurst, M., Naslund, J., & Oyekoya, O. (2022) · Frontiers in Virtual Reality
Virtual Reality Applications and ImpactsDigital Mental Health Interventions
Cited by 2
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Keep the Cost Down: A Review on Methods to Optimize LLM' s KV-Cache Consumption
Shi, L., Zhang, H., Yao, Y., Li, Z., & Zhao, H. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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How far have we been on the path of LLM-enhanced vulnerability detection
Shen, W., Yang, Y., Zhang, X., Cui, L., & Wang, Y. (2025) · Proceedings of the 2025 International Symposium on Artificial Intelligence and Computational Social Sciences
Software Testing and Debugging TechniquesWeb Application Security Vulnerabilities
Cited by 2
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InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models
Li, H., & Liu, X. (2024) · arXiv
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 2
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Automated Design of Agentic Systems: A Survey of Algorithms for Searching, Optimizing, and Evolving LLM Agents, Workflows, and Prompts
Madžar, M., & Mekterović, I. (2026) · Preprints.org
Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning
Cited by 2
- Verified
VidCompress: Memory-Enhanced Temporal Compression for Video Understanding in Large Language Models
Lan, X., Yuan, Y., Jie, Z., & Ma, L. (2024) · arXiv
Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition
Cited by 2
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