Check computer science papers: citations, claims and retractions

ConDA: Contrastive Domain Adaptation for AI-generated Text Detection

Bhattacharjee, A., Kumarage, T., Moraffah, R., & Liu, H. (2023) · arXiv

Authorship Attribution and ProfilingTopic Modeling

Cited by 3

The Evolution and Architecture of Multimodal AI Systems

Nayak, B. S. (2025) · International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Multimodal Machine Learning ApplicationsMultisensory perception and integration

Cited by 3

CTrO-Editor: A Web-based Tool to Capture Clinical Trial Data for Aggregation and Pooling

Sanchez-Graillet, O., Kramer-Sunderbrink, A., & Cimiano, P. (2021) · Proceedings of the 11th Knowledge Capture Conference

Semantic Web and OntologiesBiomedical Text Mining and Ontologies

Cited by 3

Evaluating Very Long-Term Conversational Memory of LLM Agents

Maharana, A., Lee, D.-H., Tulyakov, S., Bansal, M., Barbieri, F., & Fang, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Generative Memory for Lifelong Reinforcement Learning

Raghavan, A., Hostetler, J., & Chai, S. (2019) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 3

Dynamic features of vocal folds based on speech production model for detection of stressed speech

Yao, X., Chen, B., & Yoshimura, H. (2016) · 2016 International Conference on Progress in Informatics and Computing (PIC)

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 3

Teaching Large Language Models to Reason with Reinforcement Learning

Havrilla, A., Du, Y., Raparthy, S. C., Nalmpantis, C., Dwivedi-Yu, J., Zhuravinskyi, M., Hambro, E., Sukhbaatar, S., & Raileanu, R. (2024) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 3

ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?

Wang, Z., Schiller, N., Li, H., Narayana, S. S., Nasr, M., Carlini, N., Qi, X., Wallace, E., Bursztein, E., Invernizzi, L., et al. (2026) · arXiv

Security and Verification in ComputingAdversarial Robustness in Machine Learning

Cited by 3

A Long Way to Go: Investigating Length Correlations in RLHF

Singhal, P., Goyal, T., Xu, J., & Durrett, G. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Heuristic-enhanced Candidates Selection strategy for GPTs tackle Few-Shot Aspect-Based Sentiment Analysis

Jiang, B., Wan, Y., & Ju, S. (2024) · arXiv

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 3

Bounds and Capacity Theorems for Cognitive Interference Channels with State

Liang, R. D. Y. (2012) · arXiv

Cooperative Communication and Network CodingWireless Communication Security Techniques

Cited by 3

When AIOps Become "AI Oops": Subverting LLM-driven IT Operations via Telemetry Manipulation

Pasquini, D., Kornaropoulos, E. M., Ateniese, G., Akgul, O., Theocharis, A., & Efstathopoulos, P. (2025) · arXiv

Adversarial Robustness in Machine LearningSoftware System Performance and Reliability

Cited by 3

Open-Sora Plan: Open-Source Large Video Generation Model

Lin, B., Ge, Y., Cheng, X., Li, Z., Zhu, B., Wang, S., He, X., Ye, Y., Yuan, S., Chen, L., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 3

Digital services integration in smart cities: a trusted execution environment based solution

Schuch, R., Frantz, R. Z., Bocanegra, J., Roos-Frantz, F., Sawicki, S., & Molina-Jiménez, C. (2024) · Anais do XXVII Congresso Ibero-Americano em Engenharia de Software (CIbSE 2024)

Security and Verification in ComputingSmart Cities and Technologies

Cited by 3

Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs

Sheshadri, A., Ewart, A., Guo, P., Lynch, A., Wu, C., Hebbar, V., Sleight, H., Stickland, A. C., Perez, E., Hadfield-Menell, D., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 3

Attribute or Abstain: Large Language Models as Long Document Assistants

Buchmann, J., Liu, X., & Gurevych, I. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingInformation Retrieval and Search Behavior

Cited by 3

How Do Algorithmic Fairness Metrics Align with Human Judgement? A Mixed-Initiative System for Contextualized Fairness Assessment

Constantin, R., Duck, M., Alexandrov, A., Matosevic, P., Keidar, D., & El-Assady, M. (2022) · 2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 3

Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians

Chandra, K., Kleiman-Weiner, M., Ragan-Kelley, J., & Tenenbaum, J. B. (2026) · arXiv

Ethics and Social Impacts of AIMisinformation and Its Impacts

Cited by 3

Enhancing Threat Detection and Response Through Cloud-Native Security Solutions

Kumar, S., & Raju, S. (2024) · 2024 International Conference on Engineering and Emerging Technologies (ICEET)

Network Security and Intrusion DetectionCloud Data Security Solutions

Cited by 3

Three AI Futures

Denning, P. J. (2025) · Communications of the ACM

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 3

Information Retrieval for Artificial General Intelligence: A New Perspective of Information Retrieval Research

Zhai, C. (2025) · Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 3

Motion2Motion: Cross-topology Motion Transfer with Sparse Correspondence

Chen, L.-H., Zhang, Y., Yin, Z., Dou, Z., Chen, X., Wang, J., Komura, T., & Zhang, L. (2025) · Proceedings of the SIGGRAPH Asia 2025 Conference Papers

Human Motion and Animation3D Shape Modeling and Analysis

Cited by 3

BARCOR: Towards A Unified Framework for Conversational Recommendation Systems

Wang, T.-C., Su, S.-Y., & Chen, Y.-N. (2022) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 3

CodeAgent: Autonomous Communicative Agents for Code Review

Tang, X., Kim, K., Song, Y., Lothritz, C., Li, B., Ezzini, S., Tian, H., Klein, J., & Bissyande, T. F. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 3