Check computer science papers: citations, claims and retractions

Staring Back at the Surveillance Gaze: The Resistance of LGBTQ+ Users on Social Media

Chartrand, A. (2026) · Surveillance & Society

Ethics and Social Impacts of AISocial Media and Politics

Cited by 1

Fuzzy Logic-Driven Assessment Model for Mathematical Proof Grading in Education

Alkandari, M., & Alajmi, A. H. (2025) · European Journal of Pure and Applied Mathematics

Educational Technology and AssessmentEdcuational Technology Systems

Cited by 1

SemEval-2025 Task 5: LLMs4Subjects - LLM-based Automated Subject Tagging for a National Technical Library's Open-Access Catalog

D'Souza, J., Sadruddin, S., Israel, H., Begoin, M., & Slawig, D. (2025) · arXiv

Topic ModelingLibrary Science and Information Systems

Cited by 1

Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought Reasoning

Chen, X., Zhao, A., Xia, H., Lu, X., Wang, H., Chen, Y., Zhang, W., Wang, J., Li, W., & Shen, X. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 1

AvalonBench: Evaluating LLMs Playing the Game of Avalon

Light, J., Cai, M., Shen, S., & Hu, Z. (2023) · arXiv

Artificial Intelligence in GamesArtificial Intelligence Applications

Cited by 1

A Survey on Brain Tumor Segmentation Using Deep Learning Techniques

Garapati, S., Swain, S. K., & Vamsi Krishna, M. (2024) · 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 1

Adversarial Search Engine Optimization for Large Language Models

Nestaas, F., Debenedetti, E., & Tramèr, F. (2024) · arXiv

Adversarial Robustness in Machine LearningSpam and Phishing Detection

Cited by 1

Weighted Memory Tree: Remembering What Matters for Long-Horizon LLM Agents

Dao, Q., Kathalkar, P., & Eaton, K. (2026) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 1

AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work

Choudhuri, R., Badea, C., Bird, C., Butler, J. L., DeLine, R., & Houck, B. (2026) · Proceedings of the IEEE/ACM 48th International Conference on Software Engineering: Software Engineering in Practice

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 1

Using dynamic schemas for query optimization over JSON data.

Llano-Rios, T. (2024)

Advanced Database Systems and QueriesData Management and Algorithms

Cited by 1

DreamingComics: A Story Visualization Pipeline via Subject and Layout Customized Generation using Video Models

Kwon, P., & Chen, C. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisDigital Media and Visual Art

Cited by 1

Player-Guided AI outperforms standard AI in Sequence Alignment Puzzles

Mutalova, R., Sarrazin-Gendron, R., Ghasemloo Gheidari, P., Cai, E., Richard, G., Caisse, S., Knight, R., Blanchette, M., Szantner, A., & Waldispühl, J. (2023) · Proceedings of The ACM Collective Intelligence Conference

Artificial Intelligence in GamesGenomics and Phylogenetic Studies

Cited by 1

G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning

Dai, R., Tan, Y., Mo, L., Liang, S., Huo, G., Luo, J., & Cheng, Y. (2024) · Proceedings of the 2024 International Conference on Multimedia Retrieval

Topic ModelingMultimodal Machine Learning Applications

Cited by 1

SwaGrader: A Honest Effort Extracting, Modular Peer-Grading Tool

Prajapati, S., Gupta, A., Nigam, S. K., & Nath, S. (2020) · Proceedings of the 7th ACM IKDD CoDS and 25th COMAD

Online Learning and AnalyticsAcademic integrity and plagiarism

Cited by 1

Spurious Rewards: Rethinking Training Signals in RLVR

Shao, R., Li, S. S., Xin, R., Geng, S., Wang, Y., Oh, S., Du, S. S., Lambert, N., Min, S., Krishna, R., et al. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 1

From Defects to Demands: A Unified, Iterative, and Heuristically Guided LLM-Based Framework for Automated Software Repair and Requirement Realization

Alex, Liu, Vivian, & Chi (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 1

‘Rich Dad, Poor Lad’: How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?

Nghiem, H., Nguyen-Le, P.-A., Prindle, J., Rudinger, R., & Iii, H. D. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 1

Privacy-Preserving Attribute-Based Educational Service Recommendation in Online Education System

Huan, L., Liu, X., Sun, R., & Li, L. (2022) · Advances in Computer Science Research

Cryptography and Data SecurityRecommender Systems and Techniques

Cited by 1

The Conundrum of LLMs

Denning, P. J. (2026) · Communications of the ACM

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 1

Mantis: Lightweight Foundation Model for Time Series Classification

Feofanov, V., Wen, S., Xie, S., Roschmann, S., Alonso, M., Guo, H., Ilbert, R., Tiomoko, M., Bouniot, Q., Akata, Z., et al. (2025) · arXiv

Time Series Analysis and ForecastingMusic and Audio Processing

Cited by 1

Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Krishna, S., Krishna, K., Mohananey, A., Schwarcz, S., Stambler, A., Upadhyay, S., & Faruqui, M. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Cui, G., Zhang, Y., Chen, J., Yuan, L., Wang, Z., Zuo, Y., Li, H., Fan, Y., Chen, H., Chen, W., et al. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 1

Mastering Linux

Wang, P. S. (2010) · Chapman & Hall/CRC eBooks

Engineering and Information TechnologyTeaching and Learning Programming

Cited by 1

Characterizing Prompt Compression Methods for Long Context Inference

Jha, S., Erdogan, L. E., Kim, S., Keutzer, K., & Gholami, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1