Check computer science papers: citations, claims and retractions

Pretraining Language Models Using Translationese

Doshi, M., Dabre, R., & Bhattacharyya, P. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 1

Text Summarization using Extractive and Abstractive Techniques

Shah, C. A., & Phadnis, P. N. (2022) · International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Advanced Text Analysis TechniquesTopic Modeling

Cited by 1

Acting Less is Reasoning More! Teaching Model to Act Efficiently

Wang, H., Qian, C., Zhong, W., Chen, X., Qiu, J., Huang, S., Jin, B., Wang, M., Wong, K.-F., & Ji, H. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity

Xia, M., Zhang, X., Dixit, S., Harimurugan, P., Wang, R., Ruhle, V., Sim, R., Bansal, C., & Rajmohan, S. (2026) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 1

Smaller Large Language Models Can Do Moral Self-Correction

Liu, G., Xue, Z., Zhang, X., Wang, R., & Johnson, K. (2025) · Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025)

Ethics and Social Impacts of AITopic Modeling

Cited by 1

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework

Chu, K. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 1

Estudo sobre o surgimento e evolução de misconceptions em uma disciplina de introdução à programação

Silveira Filho, A. N., Passos, V. A., Carvalho, L. S. G. D., Oliveira, E. H. T., Fernandes, D., & Nakamura, F. G. (2025) · Anais do V Simpósio Brasileiro de Educação em Computação (EDUCOMP 2025)

Teaching and Learning ProgrammingStatistics Education and Methodologies

Cited by 1

Controllable Single-Shot Animation Blending with Temporal Conditioning

Tselepi, E., Thermos, S., & Potamianos, G. (2025) · 2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Human Motion and Animation3D Shape Modeling and Analysis

Cited by 1

SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

Li, X., Liu, Y., Chen, W., You, B., Di, Z., He, Y., Zheng, S., Choe, K. W., Sun, J., Wang, S., et al. (2026) · arXiv

AI-based Problem Solving and PlanningTopic Modeling

Cited by 1

PlanetServe: A Decentralized, Scalable, and Privacy-Preserving Overlay for Democratizing Large Language Model Serving

Fang, F., Hua, Y., Wang, S., Zhou, R., Liu, Y., Qian, C., & Zhang, X. (2025) · arXiv

Peer-to-Peer Network TechnologiesCloud Computing and Resource Management

Cited by 1

TSMixAD: A Time-Series Anomaly Detection Framework for Industrial Control Systems Incorporating Time-Frequency Domain Data Augmentation Techniques

Song, Y., Huang, H., Wei, Q., Liu, L., & Wei, Z. (2025) · Proceedings of the 2025 6th International Conference on Computer Information and Big Data Applications

Anomaly Detection Techniques and ApplicationsFault Detection and Control Systems

Cited by 1

KVShare: An LLM Service System with Efficient and Effective Multi-Tenant KV Cache Reuse

Yang, H., Zhang, R., Huang, M., Wang, W., Tang, Y., Li, Y., Liu, Y., & Zhang, D. (2025) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 1

Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models

Tao, Y., Wang, T., Dong, Y., Liu, H., Zhang, K., Hu, X., & Li, G. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 1

Advancing information system testing: challenges, methods, and practical recommendations

Otkhozoria, N., Petriashvili, L., Zhvania, T., & Imerlishvili, A. (2025) · International Science Journal of Engineering & Agriculture

Software Testing and Debugging TechniquesSoftware Engineering Techniques and Practices

Cited by 1

EXP-Bench: Can AI Conduct AI Research Experiments?

Kon, P. T. J., Liu, J., Zhu, X., Ding, Q., Peng, J., Xing, J., Huang, Y., Qiu, Y., Srinivasa, J., Lee, M., et al. (2025) · arXiv

Artificial Intelligence ApplicationsScientific Computing and Data Management

Cited by 1

Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models

Narayan, A., Biderman, D., Eyuboglu, S., May, A., Linderman, S., Zou, J., & Re, C. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Grounding Agent Memory in Contextual Intent

Yang, R., Jiang, Y., Jiang, Y., Kargupta, P., Zhang, Y., & Han, J. (2026) · Findings of the Association for Computational Linguistics: ACL 2026

Information Retrieval and Search BehaviorAI-based Problem Solving and Planning

Cited by 1

Agile Swift

Nolan, G. (2017) · Apress eBooks

Software Engineering Techniques and PracticesSoftware Testing and Debugging Techniques

Cited by 1

Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework

Lam, C., Li, J., Zhang, L., & Zhao, K. (2026) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 1

From Disruptions to Discussions: How GenAI Impacts Human Interactions in Software Development

Salomon, M., Koshchenko, E., Sergeyuk, A., Holmes, R., Murphy, G. C., & Fritz, T. (2026) · IEEE Transactions on Software Engineering

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 1

A Review of Faults Attack on Symmetric Key Cipher and Appropriate Counter Measures

Abdulkarim, S., Ahmad, S. K., & Binord, F. (2022) · OIRT Journal of Information Technology

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 1

Randomized Positional Encodings Boost Length Generalization of Transformers

Ruoss, A., Delétang, G., Genewein, T., Grau-Moya, J., Csordás, R., Bennani, M., Legg, S., & Veness, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Are DeepSeek R1 And Other Reasoning Models More Faithful?

Chua, J., & Evans, O. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 1

Penerapan Model Agile – Extreme Programming (XP) Dalam Membuat Aplikasi Pengenalan Daerah Wisata di Wonogiri Berbasis Web

Chandra, Y. I., Irawati, D. R., & Riastuti, M. (2024) · IKRA-ITH Informatika : Jurnal Komputer dan Informatika

Software Engineering Techniques and PracticesWeb Applications and Data Management

Cited by 1