Check computer science papers: citations, claims and retractions

Vietnamese Automatic Speech Recognition: A Revisit

Vu, T., Nguyen, L. T., & Nguyen, D. Q. (2026) · Findings of the Association for Computational Linguistics: EACL 2026

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 0

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

Zhu, Q. (2025) · arXiv

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 0

Confidence-Modulated Speculative Decoding for Large Language Models

Sen, J., Dasgupta, S., & Waghela, H. (2025) · 2025 IEEE 6th India Council International Subsections Conference (INDISCON)

Natural Language Processing TechniquesTopic Modeling

Cited by 0

Subspace Collisions in Knowledge Editing: Orthogonal Low-Rank Updates for Scalable, Stable Model Edits

Adwant, G., & Srivastav, M. (2026)

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

Shifting AI Efficiency From Model-Centric to Data-Centric Compression

Liu, X., Wen, Z., Wang, S., Chen, J., Tao, Z., Wang, Y., Chen, T., Jin, X., Zou, C., Wang, Y., et al. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

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ToolGen: Unified Tool Retrieval and Calling via Generation

Wang, R., Han, X., Ji, L., Wang, S., Baldwin, T., & Li, H. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs

He, F., Chen, Z., Liang, X., Ma, T., Qiu, Y., Wu, S., & Yan, J. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

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Do Gains from Generative AI-Enabled Adaptive Pretesting Persist? Evidence from a Retention Study

Akgun, M., & Toker, S. (2026) · arXiv

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

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Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates

Li, Y., Lin, Z., Deng, A., Zhang, X., He, Y., Ji, S., Cao, T., & Hooi, B. (2026) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

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