Most cited computer science papers
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Self-Supervised Representation Learning for Human Activity Recognition Using Inertial Sensor Data
Khatun, M. M., Ahsan, M. S., Al Amin, M., Eva, A. A., Sayeema, A., & Firdaus, S. (2025) · 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN)
Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting
Cited by 0
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SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery
Virk, Y., Edds, Z., Xia, C. S., & Zhang, L. (2026) · arXiv
Evolutionary Algorithms and ApplicationsSoftware Engineering Research
Cited by 0
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Harness-Bench: Evaluating Agent Harnesses across Models and Realistic Workflows
Yao, Y., Tan, X., Liu, C.-H., Li, Y., Wang, Z., Lv, Z., Yu, W., Tan, Z., Tian, Y., Sun, L., et al. (2026) · arXiv
AI-based Problem Solving and PlanningArtificial Intelligence Applications
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DeepWideSearch: Benchmarking Depth and Width in Agentic Information Seeking
Lan, T., Zhu, B., Jia, Q., Ren, J., Li, H., Wang, L., Xu, Z., Luo, W., & Zhang, K. (2025) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 0
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Student experiences of generative AI in higher education Institutional trust and detection fairness in an ODeL context
Fynn, A. (2026) · SSRN Electronic Journal
Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education
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Intrinsic Entropy of Context Length Scaling in LLMs
Shi, J., Ma, Q., Liu, H., Zhao, H., Hwang, J.-N., & Li, L. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
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Elucidating Subspace Perturbation in Zeroth-Order Optimization: Theory and Practice at Scale
Park, S., Yun, J., Kim, S., Kundu, S., & Yang, E. (2025) · arXiv
Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification
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Large-Scale Measurement of NAT Traversal for the Decentralized Web: A Case Study of DCUtR in IPFS
Trautwein, D., Ihle, C., Schubotz, M., Breitinger, C., & Gipp, B. (2026) · Proceedings of the 2026 ACM Internet Measurement Conference
Peer-to-Peer Network TechnologiesNetwork Traffic and Congestion Control
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Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models
Madhusudhan, N., Madhusudhan, S. T., Yadav, V., & Hashemi, M. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
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Cryptographic Provenance and AI-Generated Images
Bushey, J., Rivard, N., & Barbeau, M. (2025) · 2025 IEEE International Conference on Big Data (BigData)
Law, AI, and Intellectual PropertyAdvanced Steganography and Watermarking Techniques
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Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
Liang, X., Li, Z., Gong, Y., Shen, Y., Wu, Y. N., Guo, Z., & Chen, W. (2025) · arXiv
Topic ModelingReinforcement Learning in Robotics
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Storage Is Not Memory: A Retrieval-Centered Architecture for Agent Recall
Adler, J., & Zehavi, G. (2026) · arXiv
Information Retrieval and Search BehaviorAI-based Problem Solving and Planning
Cited by 0
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Academic Libraries in Africa
Nkomo, S., Ngoepe, M., Onwukanjo, S. A., Mwilongo, K. J., Kachota, B., Rupasinghe, T. P., Nsibirano, R., Nsibirano, K. A., Abu, A. A., Isah, A. Y., et al. (2023) · UJ Press eBooks
Library Science and InformationLibrary Science and Administration
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Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
Rabadán, M. M. I., Pieropan, A., Azizpour, H., & Maki, A. (2022) · arXiv
Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms
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Steer LLM Latents for Hallucination Detection
Park, S., Du, X., Yeh, M.-H., Wang, H., & Li, Y. (2025) · arXiv
Topic ModelingAdversarial Robustness in Machine Learning
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ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning
Zhu, M., Zhong, H., Zhao, C., Du, Z., Liu, M., Huang, Z., Li, A., Chen, H., Zou, C., Chen, J., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsRobot Manipulation and Learning
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Attributable by Construction: Claim-Anchored Provenance for Multi-Document Summarization
Guan, S. (2026) · arXiv
Topic ModelingAdvanced Text Analysis Techniques
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Certified Against Which Oracle? Execution Labels Set the Reported Risk of Conformal Abstention for Text-to-SQL
Liu, J., Qiao, D., Zhang, Y., & Chen, X. (2026) · arXiv
Natural Language Processing TechniquesAdversarial Robustness in Machine Learning
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From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents
Lian, N., Wang, Y., Yao, H., Wang, J., Chen, B., Wang, Y., Zhang, M., & Xia, S.-T. (2026) · arXiv
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
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CoAgent: Concurrency Control for Multi-Agent Systems
Lyu, H., Zhang, D., Wu, M., Wei, X., & Chen, H. (2026) · arXiv
Distributed systems and fault toleranceAdvanced Database Systems and Queries
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Generative AI in Programming Education: An Empirical Analysis of Student Performance and Assessment Challenges in the LLM Era
Zhu, S., & Liu, Z. (2026) · Proceedings of the 2026 International Conference on Big Data and Informatization Education
Teaching and Learning ProgrammingArtificial Intelligence in Education
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Students as Creators of Augmented Reality in Primary Education: A Pilot Study
Rellia, M., Koutromanos, G., Tsoli, K., & Fokides, E. (2026) · Practitioner Proceedings of the 12th International Conference of the Immersive Learning Research Network
Augmented Reality ApplicationsEducation and Technology Integration
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Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization
Zhang, S., Zhang, Y., Dong, Y., & Su, H. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 0
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BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese
Zhou, P., Leon, B., Ying, X., Zhang, C., Shao, Y., Ye, Q., Chong, D., Jin, Z., Xie, C., Cao, M., et al. (2025) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 0
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