Check computer science papers: citations, claims and retractions

A meta-scoping review of programming and robotics in primary and secondary education

Forsström, S., Bond, M., & Njå, M. (2024) · Zenodo

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 2

Capturing More: Learning Multi-Domain Representations for Robust Online Handwriting Verification

Zhang, P., Ding, K., & Jin, L. (2025) · Proceedings of the 33rd ACM International Conference on Multimedia

Handwritten Text Recognition TechniquesUser Authentication and Security Systems

Cited by 2

Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing

Jung, J., West, P., Jiang, L., Brahman, F., Lu, X., Fisher, J., Sorensen, T., & Choi, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

JamendoMaxCaps: A Large Scale Music-caption Dataset with Imputed Metadata

Roy, A., Liu, R., Lu, T., & Herremans, D. (2025) · 2025 International Joint Conference on Neural Networks (IJCNN)

Music and Audio ProcessingMultimodal Machine Learning Applications

Cited by 2

MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents

Jiang, D., Li, Y., Li, G., & Li, B. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 2

Tackling ambiguity in user intent for LLM-based network configuration synthesis

Mondal, R., Bjorner, N., Millstein, T., Tang, A., & Varghese, G. (2025) · Proceedings of the 24th ACM Workshop on Hot Topics in Networks

Software-Defined Networks and 5GSoftware Engineering Research

Cited by 2

Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents

Song, Y., Yin, D., Yue, X., Huang, J., Li, S., & Lin, B. Y. (2024) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 2

Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling

Luo, X., Wang, Y., Zhu, Q., Zhang, Z., Zhang, X., Yang, Q., & Xu, D. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 2

PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels

Kacham, P., Mirrokni, V., & Zhong, P. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

LongCodeBench: Evaluating Coding LLMs at 1M Context Windows

Rando, S., Romani, L., Sampieri, A., Franco, L., Yang, J., Kyuragi, Y., Galasso, F., & Hashimoto, T. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 2

Exploring Perceptual Limitation of Multimodal Large Language Models

Zhang, J., Hu, J., Khayatkhoei, M., Ilievski, F., & Sun, M. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2

Challenging LLMs Beyond Information Retrieval: Reasoning Degradation with Long Context Windows

Fraga, N. (2024) · Preprints.org

Topic ModelingNatural Language Processing Techniques

Cited by 2

Reasoning with Latent Thoughts: On the Power of Looped Transformers

Saunshi, N., Dikkala, N., Li, Z., Kumar, S., & Reddi, S. J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation

Gan, T., & Sun, Q. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 2

Automatic Related Work Section in Scientific Article: Research Trends and Future Directions

Justitia, A., & Wang, H.-C. (2022) · 2022 International Seminar on Intelligent Technology and Its Applications (ISITIA)

Advanced Text Analysis TechniquesTopic Modeling

Cited by 2

MEMIT-Merge: Addressing MEMIT's Key-Value Conflicts in Same-Subject Batch Editing for LLMs

Dong, Z., Shen, X., & Xia, R. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 2

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Liu, R., Gao, J., Zhao, J., Zhang, K., Li, X., Qi, B., Ouyang, W., & Zhou, B. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Symbol detection in low-resolution images using a novel method

Tai, K.-C., & Chen, C.-H. (2014) · International Journal of Control and Automation

Image and Object Detection TechniquesComputer Science and Engineering

Cited by 2

Non-classical role of potential energy in adiabatic quantum annealing

Das, A. (2009) · Journal of Physics: Conference Series

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 2

Responsive real-time grass rendering for general 3D scenes

Jahrmann, K., & Wimmer, M. (2017) · Proceedings of the 21st ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games

Computer Graphics and Visualization TechniquesGreenhouse Technology and Climate Control

Cited by 2

Diverse Preference Optimization

Lanchantin, J., Chen, A., Dhuliawala, S., Yu, P., Weston, J., Sukhbaatar, S., & Kulikov, I. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare

Shetty, A., Beheshti, A., Dras, M., & Naseem, U. (2025) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 2

"Nobody Did This": Contribution, Originality, and Accountability in Agent-Mediated Collaboration

Imteyaz, K., Rifat, M. R., Ramesh, D., Rick, S. R., Hosio, S., Sandhaus, H., Sarkar, A., Riedl, C., & Savage, S. (2026) · Proceedings of the 2026 Companion of the Computer-Supported Cooperative Work and Social Computing

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 2

Large Language Models Lack Understanding of Character Composition of Words

Shin, A., & Kaneko, K. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2