Check computer science papers: citations, claims and retractions

DECoVaC: Design of Experiments with Controlled Variability Components

Boquet, T., Delisle, L., Kochetkov, D., Schucher, N., Atighehchian, P., Oreshkin, B., & Cornebise, J. (2019) · arXiv

Machine Learning and Data ClassificationOptimal Experimental Design Methods

Cited by 1

Helios: A 98-qubit trapped-ion quantum computer

Ransford, A., Allman, M. S., Arkinstall, J., Campora, J. P., Cooper, S. F., Delaney, R. D., Dreiling, J. M., Estey, B., Figgatt, C., Hall, A., et al. (2025) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1

Ambient Temperature Impact on the Thermal Behavior and Power Consumption of the NVIDIA Jetson AGX Orin in an Outdoor Enclosure

Krišlauks, R., Tiscenko, D., Medvedevs, V., Ormanis, J., & Judvaitis, J. (2026) · Electronics

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 1

SkillAxe: Sharpening LLM-Authored Agent Skills Through Evaluation-Guided Self-Refinement

Gautam, S., Radhakrishna, A., & Gulwani, S. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 1

Hierarchical Memory for High-Efficiency Long-Term Reasoning in LLM Agents

Sun, H., & Zeng, S. (2025) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 1

FlexCap: Describe Anything in Images in Controllable Detail

Dwibedi, D., Jain, V., Tompson, J., Zisserman, A., & Aytar, Y. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 1

Scaling Long-Horizon LLM Agent via Context-Folding

Sun, W., Lu, M., Ling, Z., Liu, K., Yao, X., Yang, Y., & Chen, J. (2025) · arXiv

AI-based Problem Solving and PlanningTopic Modeling

Cited by 1

Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations

Ibrahim, L., Ghassemi, M. M., & Alhanai, T. (2023) · International Joint Conference on Autonomous Agents and Multiagent Systems

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 1

Multi-stage Floor Plan Recognition and 3D Reconstruction

Cheng, X., Ding, X., Zhang, J., Liu, M., Chang, K., Wang, J., Zhou, C., & Yuan, J. (2022) · Proceedings of the 8th International Conference on Computing and Artificial Intelligence

Advanced Neural Network ApplicationsHandwritten Text Recognition Techniques

Cited by 1

RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning

Chen, L. Y., Xu, C., Dharmarajan, K., Irshad, M. Z., Cheng, R., Keutzer, K., Tomizuka, M., Vuong, Q., & Goldberg, K. (2024) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 1

Retrieval-Augmented Generation-based Relation Extraction

Efeoglu, S., & Paschke, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Leveraging Implicit Feedback from Deployment Data in Dialogue

Pang, R. Y., Roller, S., Cho, K., He, H., & Weston, J. (2023) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 1

Preclinical Dialogue Simulation: Evaluating Response Accessibility in Conversational Artificial Intelligence for Aphasia Therapy

Imaezue, G. C., Maram, K. V., Ajayi, D., Alohali, I., & Butta, R. K. (2026) · Journal of Speech, Language, and Hearing Research

Speech and dialogue systemsArtificial Intelligence in Healthcare and Education

Cited by 1

Automated Proof Generation for Rust Code via Self-Evolution

Chen, T., Lu, S., Lu, S., Gong, Y., Yang, C., Li, X., Misu, M. R. H., Yu, H., Duan, N., Cheng, P., et al. (2024) · arXiv

Logic, programming, and type systemsSoftware Testing and Debugging Techniques

Cited by 1

A theory of appropriateness with applications to generative artificial intelligence

Leibo, J. Z., Vezhnevets, A. S., Diaz, M., Agapiou, J. P., Cunningham, W. A., Sunehag, P., Haas, J., Koster, R., Duéñez-Guzmán, E. A., Isaac, W. S., et al. (2024) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 1

The Pitfalls of Memorization: When Memorization Hurts Generalization

Bayat, R., Pezeshki, M., Dohmatob, E., Lopez-Paz, D., & Vincent, P. (2024) · arXiv

Domain Adaptation and Few-Shot LearningAdversarial Robustness in Machine Learning

Cited by 1

A three-tier microsegmentation framework for enterprise networks under Zero Trust Architecture

N.N., H., Krishnan, P., Jain, K., Saudagar, A. K. J., P., P., & Poonia, R. C. (2026) · Alexandria Engineering Journal

Network Security and Intrusion DetectionCybersecurity and Information Systems

Cited by 1

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Herlihy, C., Neville, J., Schnabel, T., & Swaminathan, A. (2024) · arXiv

Recommender Systems and TechniquesSpeech and dialogue systems

Cited by 1

Flow: Modularized Agentic Workflow Automation

Niu, B., Song, Y., Lian, K., Shen, Y., Yao, Y., Zhang, K., & Liu, T. (2025) · arXiv

AI-based Problem Solving and PlanningMulti-Agent Systems and Negotiation

Cited by 1

KVDirect: Distributed Disaggregated LLM Inference

Chen, S., Jiang, R., Yu, D., Xu, J., Chao, M., Meng, F., Jiang, C., Xu, W., & Liu, H. (2025) · arXiv

Parallel Computing and Optimization TechniquesDistributed and Parallel Computing Systems

Cited by 1

Language Models as a Service: Overview of a New Paradigm and its Challenges

La Malfa, E., Petrov, A., Frieder, S., Weinhuber, C., Burnell, R., Nazar, R., Cohn, A. G., Shadbolt, N., & Wooldridge, M. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 1

FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory

Wei, L., Dong, X., Peng, X., Xie, N., & Wang, B. (2026) · ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

AI-based Problem Solving and PlanningTopic Modeling

Cited by 1

AI tutoring can safely and effectively support students: An exploratory RCT in UK classrooms

LearnLM Team, Eedi, :, Wang, A., Rysbek, A., Huber, A., Nambiar, A., Kenolty, A., Caulfield, B., Lilley-Draper, B., et al. (2025) · arXiv

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 1

Finding Flawed Fictions: Evaluating Complex Reasoning in Language Models via Plot Hole Detection

Ahuja, K., Sclar, M., & Tsvetkov, Y. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 1