Check computer science papers: citations, claims and retractions

OverThink: Slowdown Attacks on Reasoning LLMs

Kumar, A., Roh, J., Naseh, A., Karpinska, M., Iyyer, M., Houmansadr, A., & Bagdasarian, E. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0

EHR-RAG: Bridging Long-Horizon Structured Electronic Health Records and Large Language Models via Enhanced Retrieval-Augmented Generation

Cao, L., Chen, Q., & Guo, Y. (2026) · arXiv

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 0

Laughing Matters: Introducing Laughing-Face Generation using Diffusion Models

Casademunt, A. B., Mira, R., Drobyshev, N., Vougioukas, K., Petridis, S., & Pantic, M. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisHuman Motion and Animation

Cited by 0

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection

Li, K., Li, G., Zhou, M., Li, M., Han, D., & Wan, J. (2026) · arXiv

3D Shape Modeling and AnalysisAnomaly Detection Techniques and Applications

Cited by 0

Making the Telemetry Pipeline Measurable: An Edge IoT Testbed and Dataset for End-to-End Latency, Provenance, and Energy-Aware Benchmarking

Gkoulis, D. (2026) · arXiv

IoT and Edge/Fog ComputingEnergy Efficient Wireless Sensor Networks

Cited by 0

PWM: Policy learning with multi-task world models

Georgiev, I., Giridhar, V., Hansen, N., & Garg, A. (2024) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0

Democratizing Data Analysis: Can Generative AI Tools Enable Non-STEM Students to Complete Complex Coding Tasks with Minimal Training?

Mamirov, A., Park, L., & Palmer, D. (2025)

Teaching and Learning ProgrammingComputational and Text Analysis Methods

Cited by 0

WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning

Yeo, W., Kim, K., Yoon, J., & Hwang, S. J. (2025) · arXiv

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 0

Privacy Versus Personalization: Evaluating the Ethical Implications of Artificial Intelligence Chatbots in Nigerian Academic Libraries

Igboechesi, G. P., & Adigun, T. A. (2026) · International Journal of Library and Information Science Studies

Ethics and Social Impacts of AIPrivacy, Security, and Data Protection

Cited by 0

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading

Li, Z., Li, Z., Shi, Y., Wang, R., Yang, J., Liu, Z., Wu, X., Li, A., Huang, C., Shang, E., et al. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 0

Skin Tokens: A Learned Compact Representation for Unified Autoregressive Rigging

Zhang, J.-P., Pu, C.-F., Guo, M.-H., Cao, Y.-P., & Hu, S.-M. (2026) · arXiv

3D Shape Modeling and AnalysisHuman Motion and Animation

Cited by 0

An Empirical Evaluation of AI-Assisted Code Generation on Developer Productivity and Code Quality: A Case Study of .NET Applications

Tariq, M., Hassan, A., & Yazdani, M. F. (2026) · SSRN

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

Demo Application for the AutoGOAL Framework

Estevez-Velarde, S., Piad-Morffis, A., Gutiérrez, Y., Montoyo, A., Muñoz-Guillena, R., & Almeida Cruz, Y. (2020) · Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations

Natural Language Processing TechniquesSpeech and dialogue systems

Cited by 0

Fun-ASR Technical Report

An, K., Chen, Y., Chen, Z., Deng, C., Du, Z., Gao, C., Gao, Z., Gong, B., Li, X., Li, Y., et al. (2025) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 0

Gargoyle: A rigging study

Davalath, M., & Polson, B. (2010) · ACM SIGGRAPH 2010 Dailies

Digital Media and Visual ArtHuman Motion and Animation

Cited by 0

AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Yang, Q., Xu, J., Liu, W., Chu, Y., Jiang, Z., Zhou, X., Leng, Y., Lv, Y., Zhao, Z., Zhou, C., et al. (2024) · arXiv

Speech Recognition and SynthesisMultimodal Machine Learning Applications

Cited by 0

DeltaML-Bench: Evaluating Machine Learning Agents on Real-World Research Repositories

Moukpe, J., Aryal, P., & Kenney, M. (2026) · arXiv

Software Engineering ResearchArtificial Intelligence Applications

Cited by 0

From Word to World: Can Large Language Models be Implicit Text-based World Models?

Li, Y., Wang, H., Qiu, J., Yin, Z., Zhang, D., Qian, C., Li, Z., Ma, X., Chen, G., & Ji, H. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 0

When Agents Remember Too Much: Memory Poisoning Attacks on Large Language Model Agents

Torres, G., Shrestha, S., & Misra, S. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

Confirmation bias: A challenge for scalable oversight

Recchia, G., Mangat, C. S., Nyachhyon, J., Sharma, M., Canavan, C., Epstein-Gross, D., & Abdulbari, M. (2025) · arXiv

Ethics and Social Impacts of AIHuman-Automation Interaction and Safety

Cited by 0

RealMem: Benchmarking LLMs in Real-World Memory-Driven Interaction

Bian, H., Yao, Z., Hu, S., Xu, Z., Zhang, S., Guo, Y., Yang, Z., Han, X., Wang, H., & Chen, R. (2026) · arXiv

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 0

Seeing Is Believing, Experiencing Is Deciding: How Augmented Reality Attributes Drive Confidence in Choice and Willingness to Pay

Javeed, S., Rasool, G., & Pathania, A. (2026) · International Journal of Consumer Studies

Augmented Reality ApplicationsConsumer Retail Behavior Studies

Cited by 0

Unaccountable Delegation, Fading Skills: Mapping the Risks of Workplace AI Agents

La Malfa, G., Meegahapola, L., Bogucka, E., Zhang, J. M., Luck, M., Black, E., & Quercia, D. (2026) · arXiv

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 0

MergeMix: Optimizing Mid-Training Data Mixtures via Learnable Model Merging

Wang, J., Tian, C., Chen, K., Liu, Z., Mao, J., Zhao, W. X., Zhang, Z., & Zhou, J. (2026) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0