Check computer science papers: citations, claims and retractions

EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms

Yuan, S., Song, K., Chen, J., Tan, X., Li, D., & Yang, D. (2024) · arXiv

Evolutionary Algorithms and ApplicationsMulti-Agent Systems and Negotiation

Cited by 0

Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets

Bansal, G., Hua, W., Huang, Z., Fourney, A., Swearngin, A., Epperson, W., Payne, T., Hofman, J. M., Lucier, B., Singh, C., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationEthics and Social Impacts of AI

Cited by 0

MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome

Ye, F., Hu, Y., Zhu, P., Li, Y., Jin, Z., Xiao, Y., Wang, Y., Wang, L., Zhang, Z., Wang, L., et al. (2026) · arXiv

Information Retrieval and Search BehaviorMultimodal Machine Learning Applications

Cited by 0

A Preliminary Review of Generative AI as a Decision-Support System for Students with Motor Disabilities in Higher Education

Jaime-Vargas, J. A. (2026) · 2026 12th International Conference on Control, Decision and Information Technologies (CoDIT)

Artificial Intelligence in EducationDisability Education and Employment

Cited by 0

ObjectCache: Layerwise Object-Storage Retrieval for KV Cache Reuse

Zhu, Y., Dhakal, A., Xiao, Y., Milojicic, D., & Alonso, G. (2026) · arXiv

Advanced Data Storage TechnologiesCloud Computing and Resource Management

Cited by 0

General Agentic Memory Via Deep Research

Yan, B. Y., Li, C., Qian, H., Lu, S., & Liu, Z. (2025) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 0

DemoPSD: Disagreement-Modulated Policy Self-Distillation

Li, Y., Shi, H., Liu, W., Ruan, M., Hou, H., Dai, Z., Qiu, S., & Song, L. (2026) · arXiv

Topic ModelingReinforcement Learning in Robotics

Cited by 0

Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation

Zhou, P., Gopalakrishnan, K., Hedayatnia, B., Kim, S., Pujara, J., Ren, X., Liu, Y., & Hakkani-Tur, D. (2021) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

GenerationPrograms: Fine-grained Attribution with Executable Programs

Wan, D., Hirsch, E., Stengel-Eskin, E., Dagan, I., & Bansal, M. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 0

Authenticated image encryption using robust chaotic maps and enhanced advanced encryption standard

Chothe, R. V., Ugale, S. P., Chandwadkar, D. M., & Shelke, S. V. (2025) · Indonesian Journal of Electrical Engineering and Computer Science

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 0

It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization

Behrouz, A., Razaviyayn, M., Zhong, P., & Mirrokni, V. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

Diagnosing the limits of large language models for structured scientific evidence extraction

Tan, Z., D’Souza, J., & Auer, S. (2026) · International Journal on Digital Libraries

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 0

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

Feng, J., Sun, Q., Xu, C., Zhao, P., Yang, Y., Tao, C., Zhao, D., & Lin, Q. (2022) · arXiv

Speech and dialogue systemsMultimodal Machine Learning Applications

Cited by 0

K^2-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control

Wu, Z., Mo, D., Lu, H., Xing, J., Liu, J., Jing, Y., Li, K., Shao, K., Hao, J., & Shi, Y. (2026) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 0

M2A: Multimodal Memory Agent with Dual-Layer Hybrid Memory for Long-Term Personalized Interactions

Feng, J., Xu, B., Chen, J., Dai, M., Wu, C., Li, H., Zeng, B., Xie, Y., Liang, H., Lu, M., et al. (2026) · arXiv

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 0

AdversaBench: Automated LLM Red-Teaming with Multi-Judge Confirmation and Cross-Model Transferability

Khandelwal, K. (2026) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0

AIOpsLab in Action: An Open Platform for AIOps Research

Ma, M., Clark, J., & Zhang, S. (2025) · Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 0

Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction

Jang, H., Yu, S., Shin, J., Abbeel, P., & Seo, Y. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 0

Elaboración colectiva de la versión 2.0 de la Gobernanza Comunitaria de MetaDocencia

Iarussi, E., Mercado-Lara, E., Poggio, I. G., Ación, L., Ascenzi, L., Sharan, M., Palopoli, N., Lefer, P., Pendino, R., Xhardez, V., et al. (2024) · Zenodo

Open Education and E-LearningPublishing and Scholarly Communication

Cited by 0

Tamarin (HSQ): Reversible Hierarchical KV-Cache Compression for LLM Inference

Bazakov, A., & Kiselev, K. (2026) · Research Square

Topic ModelingAdvanced Neural Network Applications

Cited by 0

Beyond Manual Annotation: A Human-AI Collaborative Framework for Medical Image Segmentation Using Only "Better or Worse" Expert Feedback

Zhang, Y. (2025) · arXiv

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 0

The evaluation of integrating english language learning program in islamic boarding school: The CIPP mode

Sari, Y., Padmadewi, N. N., Suarcaya, P., Utami, I. L. P., & Ramendra, D. P. (2024) · Jurnal Penelitian dan Evaluasi Pendidikan

English Language Learning and TeachingEFL/ESL Teaching and Learning

Cited by 0

diff History for Neural Language Agents

Piterbarg, U., Pinto, L., & Fergus, R. (2023) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

A Theory of Reliable Self-Evolution for Agent Harnesses

Cai, Q., Zhang, Y., Nie, J., Ran, M., Zheng, H., Song, J., Tian, X., Guo, Y., & Xue, W. (2026) · arXiv

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

Cited by 0