Check computer science papers: citations, claims and retractions

VIT-Pro: Visual Instruction Tuning for Product Images

Prabhakaran, V., Aggarwal, P., Kulshreshtha, V., Das, A., Sruti, S. V. S., & Saladi, A. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution

Eletter, S., Zeng, R., Wang, Y., Panov, M., Rubashevskii, A., & Nakov, P. (2026) · arXiv

Adversarial Robustness in Machine LearningMisinformation and Its Impacts

Cited by 0

Self-Improving LLM Agents at Test-Time

Acikgoz, E. C., Qian, C., Ji, H., Hakkani-Tür, D., & Tur, G. (2025) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

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Rethinking Serverless Keep-Alive by Decoupling Eviction Priority From Execution State

Gong, Y., Cai, X., Sang, Q., Lu, T., Hu, C., & Cheng, D. (2026) · IEEE Transactions on Computers

Cloud Computing and Resource ManagementSoftware System Performance and Reliability

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Order Matters! An Empirical Study on Large Language Models' Input Order Bias in Software Fault Localization

Rafi, M. N., Kim, D. J., Chen, T.-H., & Wang, S. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

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Teachers' Experiences with AI in K–12 Education: Opportunities and Challenges

Güneş Metin, K., & Çetin, M. (2026) · Journal of Educational Technology Systems

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

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Probing for Long-Horizon Deductive Reasoning Capabilities in Language Models with Prolog

Al-Negheimish, H., Ilieva, J., & Kim, Y. (2026) · arXiv

Logic, Reasoning, and KnowledgeTopic Modeling

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MemMorph: Tool Hijacking in LLM Agents via Memory Poisoning

Zhang, X., Zheng, Y., Xu, Z., Zhou, K., Shen, B., Ou, H., Zhang, T., & Lam, K.-Y. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

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AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners

Koh, W., Oh, W., Jang, J., Lee, M., Kim, H., Kim, A. Y., Kim, J., Lee, J., Kim, T., & Yun, S.-Y. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

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VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models

Dunlap, L., Mandal, K., Darrell, T., Steinhardt, J., & Gonzalez, J. E. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

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GPT-based lifelong learning and ANFIS-driven reply memory ratio prediction for aspect-based sentiment analysis

Huang, H., Ye, X., Mustafa, M. B., Dong, Q., Li, Y., Asemi, A., & Asemi, A. (2025) · Complex & Intelligent Systems

Sentiment Analysis and Opinion MiningDomain Adaptation and Few-Shot Learning

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Platform super user: Examining Google Arts & Culture’s cultural production

Berard, B., & Smith, S. E. K. (2026) · Convergence: The International Journal of Research into New Media Technologies

Cultural Insights and Digital ImpactsMedia and Digital Communication

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Exploring the Limitations of Detecting Machine-Generated Text

Doughman, J., Afzal, O. M., Toyin, H. O., Shehata, S., Nakov, P., & Talat, Z. (2024) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

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Theory and Applications of Belief Functions

Dempster, A. P. (1989)

Bayesian Modeling and Causal InferenceMulti-Criteria Decision Making

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Scalable-Softmax Is Superior for Attention

Nakanishi, K. M. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

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Adversarial Review: Structured Disagreement for Grounded Agentic Code Review

Qiu, E. S., & Gill, J. (2026) · arXiv

Topic ModelingMobile Crowdsensing and Crowdsourcing

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Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models

Qiu, Y., Embar, V. R., Zhang, Y., Jaitly, N., Cohen, S. B., & Han, B. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Topic ModelingInformation Retrieval and Search Behavior

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Unlocking User-Generated Content for Academic Library Service Quality Assessment: A Multidimensional Text Analytics Framework

Drivas, I. C., Vraimaki, E., & Lazaridis, N. (2026) · Electronics

Sentiment Analysis and Opinion MiningWeb and Library Services

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A Formal Security Framework for MCP-Based AI Agents: Threat Taxonomy, Verification Models, and Defense Mechanisms

Acharya, N., & Gupta, G. K. (2026) · arXiv

Security and Verification in ComputingAdversarial Robustness in Machine Learning

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Reward Hacking in Rubric-Based Reinforcement Learning

Mahmoud, A., Rezaei, M., Wang, Z., Gunjal, A., Liu, B., & He, Y. (2026) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

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Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation

Caruzzo, C., Yoo, D., & Kim, T. S. (2026) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

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EvolKV: Evolutionary KV Cache Compression for LLM Inference

Yu, B., & Chai, Y. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0

Finding the Right Fit: Model-Harness Interactions across Agent Tasks

Li, Y., Zhou, Y., Teng, Y. L., Yang, F., Deng, Y., Lyu, Z., Dong, X., Chen, F., & An, B. (2026) · arXiv

Software Engineering ResearchAI-based Problem Solving and Planning

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From Goldfish to Elephant: Long-Term Memory for Large Language Models via Selective Storage and Hierarchical Compression

Kummara, H. (2026) · Cambridge Open Engage (preprint)

Topic ModelingSpeech and dialogue systems

Cited by 0