Check computer science papers: citations, claims and retractions

Official Implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"

Mei, Y., Zhuang, Y., Miao, X., Yang, J., Jia, Z., & Vinayak, R. (2024) · Zenodo

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 0

Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections

Yang, X., He, Y., Ji, S., Hooi, B., & Dong, J. S. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

Multi-Agent Reasoning Improves Compute Efficiency: Pareto-Optimal Test-Time Scaling

Wunderlich, F. V., Kaesberg, L. B., Wahle, J. P., Ruas, T., & Gipp, B. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)

Natural Language Processing TechniquesParallel Computing and Optimization Techniques

Cited by 0

Toward Autonomous Long-Horizon Engineering for ML Research

Chen, G., Chen, J., Chen, L., Zhao, J., Meng, F., Zhao, W. X., Song, R., Chen, C., Wen, J.-R., & Jia, K. (2026) · arXiv

Artificial Intelligence ApplicationsScientific Computing and Data Management

Cited by 0

From Access to Agency: Reframing Digital Libraries as Community Repositories for Community-Engaged Research Partnerships

Tharani, K. (2026) · Partnership: The Canadian Journal of Library and Information Practice and Research

Library Science and InformationLibrary Science and Administration

Cited by 0

Mapeamento Sistemático sobre o Uso de IAs Generativas no Ensino de Programação

Ferreira de Sousa, J., & Silveira, F. R. D. V. (2026) · Revista Eletrônica de Iniciação Científica em Computação

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 0

SMSR: Certified Defence Against Runtime Memory Poisoning in Persistent LLM Agent Systems

Sharma, T. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

RepliBench: Evaluating the autonomous replication capabilities of language model agents

Black, S., Stickland, A. C., Pencharz, J., Sourbut, O., Schmatz, M., Bailey, J., Matthews, O., Millwood, B., Remedios, A., & Cooney, A. (2025) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 0

Training a Generally Curious Agent

Tajwar, F., Jiang, Y., Thankaraj, A., Rahman, S. S., Kolter, J. Z., Schneider, J., & Salakhutdinov, R. (2025) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-Agent Systems

Mao, Y., Kang, Y., Li, P., Zhang, N., Xu, W., & Zhang, C. (2024) · arXiv

Distributed systems and fault toleranceDistributed Control Multi-Agent Systems

Cited by 0

Understanding DeepResearch via Reports

Fan, T., Niu, X., Zheng, Y., Zhang, F., Huang, C., Chen, B., Lin, J., & Huang, C. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Human-Inspired Memory Architecture for LLM Agents

Kerestecioglu, D., Robsky, A., Vasters, C., Sharma, A., & Kesselman, Y. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Keep Your Receipts: Trustworthy Cleanup of Agent-Built Knowledge Graphs

Choudhary, V. (2026) · arXiv

Semantic Web and OntologiesTopic Modeling

Cited by 0

Survey of Privacy Preserving Techniques for Distributed Learning in an IoT Network

Cartmell, J., & Williams, A. (2025)

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 0

The Pathway to Implementing Zero Trust: Why Microsegmentation Remains the Critical Barrier

Flynn, D. C. (2026)

Information and Cyber SecurityAccess Control and Trust

Cited by 0

Learning Randomized Algorithms with Transformers

von Oswald, J., Kobayashi, S., Akram, Y., & Steger, A. (2024) · arXiv

Adversarial Robustness in Machine LearningNeural Networks and Applications

Cited by 0

Characterizing Deep Research: A Benchmark and Formal Definition

Java, A., Khandelwal, A., Midigeshi, S., Halfaker, A., Deshpande, A., Goyal, N., Gupta, A., Natarajan, N., & Sharma, A. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

TopoRefine: Iterative Refinement with Reasoning Topology as High-Level Feedback

Liao, H., Hu, S., Zhu, Z., He, H., & Jin, Y. (2025) · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Topic ModelingNatural Language Processing Techniques

Cited by 0

A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial Robustness

Schwinn, L., Ladenburger, M., Beyer, T., Mofakhami, M., Gidel, G., & Günnemann, S. (2026) · arXiv

Adversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection

Cited by 0

LatentEvolve: Self-Evolving Test-Time Scaling in Latent Space

Zhang, G., Meng, F., Wan, G., Li, Z., Wang, K., Yin, Z., Bai, L., & Yan, S. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models

Pham, T., Nguyen, N., Zunjare, P., Chen, W., Tseng, Y.-M., & Vu, T. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

memorywire: A Vendor-Neutral Wire Format for Agent Memory Operations

Munirathinam, T. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

What Can RL Bring to VLA Generalization? An Empirical Study

Liu, J., Gao, F., Wei, B., Chen, X., Liao, Q., Wu, Y., Yu, C., & Wang, Y. (2025) · arXiv

Reinforcement Learning in RoboticsMultimodal Machine Learning Applications

Cited by 0

MAPLE: Multi-Aspect Panels of LLM Evaluators for Open-Ended Questions

Jinji, M., Atarashi, K., Takeuchi, K., & Kashima, H. (2026) · Findings of the Association for Computational Linguistics: ACL 2026

Topic ModelingNatural Language Processing Techniques

Cited by 0