Check computer science papers: citations, claims and retractions

YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering

D'Souza, J., Giglou, H. B., & Münch, Q. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

MemGym: a Long-Horizon Memory Environment for LLM Agents

Xu, W., Wang, Y., Mei, K., Liang, K., Wang, Z., Jin, M., Zhang, H., Zhang, S.-X., Hua, W., Sahu, S., et al. (2026) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 0

State Soup: In-Context Skill Learning, Retrieval and Mixing

Pióro, M., Wołczyk, M., Pascanu, R., von Oswald, J., & Sacramento, J. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

A Survey of In-Context Reinforcement Learning

Moeini, A., Wang, J., Beck, J., Blaser, E., Whiteson, S., Chandra, R., & Zhang, S. (2025) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0

MonkeyOCR v1.5 Technical Report: Unlocking Robust Document Parsing for Complex Patterns

Zhang, J., Liu, Y., Wu, Z., Pang, G., Ye, Z., Zhong, Y., Ma, J., Wei, T., Xu, H., Chen, W., et al. (2025) · arXiv

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

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EXAIM: Explainable AI Middleware for Real-Time Multi-Agent Clinical Decision Support

Woldesenbet, A. K., & Behrens, A. (2026) · 2026 IEEE 14th International Conference on Healthcare Informatics (ICHI)

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 0

Dynamic turn in epistemic logic

Козаченко, Н. П. (2016)

Logic, Reasoning, and KnowledgeEpistemology, Ethics, and Metaphysics

Cited by 0

The Role of Hyperparameters in Predictive Multiplicity

Cavus, M., Woźnica, K., & Biecek, P. (2025) · arXiv

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

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Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments

Froger, R., Andrews, P., Bettini, M., Budhiraja, A., Cabral, R. S., Do, V., Garreau, E., Gaya, J.-B., Laurençon, H., Lecanu, M., et al. (2026) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

Approximate Hierarchical Clustering via Sparsest Cut and Spreading Metrics

Charikar, M., & Chatziafratis, V. (2016) · arXiv

Complexity and Algorithms in GraphsAdvanced Clustering Algorithms Research

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OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agent

Yang, B., Jin, K., Wu, Z., Liu, Z., Sun, Q., Li, Z., Xie, J., Liu, Z., Xu, F., Cheng, K., et al. (2026) · arXiv

Multimodal Machine Learning ApplicationsAI-based Problem Solving and Planning

Cited by 0

Space-sampled Value Decay: Forgetting Mechanisms for Non-stationary Reinforcement Learning

Störck, F., Hartmann, P., Hinder, F., Neumann, K., & Hammer, B. (2026) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0

RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation

Pan, L., Tao, S., Zhai, Y., Zhang, L., Liu, Z., Ding, B., Liu, A., & Wen, L. (2026) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 0

Case Study One

Khan, J., & Belk, R. (2024) · Digital Currency and Consumption

Blockchain Technology Applications and SecurityDigital Transformation in Financial Services

Cited by 0

Learning the ARTS of Search for Automated Discovery

Juneja, G., Jain, A. K., Nathani, D., Wang, W. Y., & Wang, X. E. (2026) · arXiv

AI-based Problem Solving and PlanningEvolutionary Algorithms and Applications

Cited by 0

Decision Models vs. LLMs as Rubric Judges: Cheaper, Faster, and Wrong in the Same Places

Rao, D., & Callison-Burch, C. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

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AutoAgent: Evolving Cognition and Elastic Memory Orchestration for Adaptive Agents

Wang, X., Liao, N., Wei, S., Tang, C., & Xiong, F. (2026) · arXiv

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

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Bridging Offline and Online Reinforcement Learning for LLMs

Lanchantin, J., Chen, A., Lan, J., Li, X., Saha, S., Wang, T., Xu, J., Yu, P., Yuan, W., Weston, J. E., et al. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 0

Inoculation Prompting: Instructing LLMs to misbehave at train-time improves test-time alignment

Wichers, N., Ebtekar, A., Azarbal, A., Gillioz, V., Ye, C., Ryd, E., Rathi, N., Sleight, H., Mallen, A., Roger, F., et al. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

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Prune2Drive: A Plug-and-Play Framework for Accelerating Vision-Language Models in Autonomous Driving

Xiong, M., Wen, Z., Gu, Z., Liu, X., Zhang, R., Kang, H., Yang, J., Zhang, J., Li, W., He, C., et al. (2025) · arXiv

Advanced Neural Network ApplicationsMultimodal Machine Learning Applications

Cited by 0

Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs

Zhang, K., Li, H., Zhao, Y., Sun, Y., & Zhang, H. (2025) · arXiv

Stochastic Gradient Optimization TechniquesDomain Adaptation and Few-Shot Learning

Cited by 0

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution

Lange, R. T., Imajuku, Y., & Cetin, E. (2025) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 0

PeerArg: Argumentative Peer Review with LLMs

Sukpanichnant, P., Rapberger, A., & Toni, F. (2024) · arXiv

Topic ModelingAcademic Writing and Publishing

Cited by 0

Game Plot Design With an LLM-Powered Assistant: An Empirical Study With Game Designers

Alavi, S. H., Xu, W., Jojic, N., Kennett, D., Ng, R. T., Rao, S., Zhang, H., Dolan, B., & Shwartz, V. (2026) · IEEE Transactions on Games

Artificial Intelligence in GamesDigital Games and Media

Cited by 0