Check computer science papers: citations, claims and retractions

A Multilingual Dataset of Student Answers, Human Grading, and Multi-LLM Evaluations for Automated Assessment Research Using JorGPT

Cisneros-González, J., Gordo-Herrera, N., Barcia-Santos, I., Cerezo, Y., & Sánchez-Soriano, J. (2026) · Data

Educational Technology and AssessmentArtificial Intelligence in Education

Cited by 1

Insights From the NeurIPS 2021 NetHack Challenge

Hambro, E., Mohanty, S., Babaev, D., Byeon, M., Chakraborty, D., Grefenstette, E., Jiang, M., Jo, D., Kanervisto, A., Kim, J., et al. (2022) · arXiv

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 1

Securing Genomic Data Against Inference Attacks in Federated Learning Environments

Pathade, C., & Patil, S. (2025) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 1

DPC: Training-Free Text-to-SQL Candidate Selection via Dual-Paradigm Consistency

Li, B., Hei, O. O. K., Yu, Y., & Luo, Y. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 1

P/D-Serve: Serving Disaggregated Large Language Model at Scale

Jin, Y., Wang, T., Lin, H., Song, M., Li, P., Ma, Y., Shan, Y., Yuan, Z., Li, C., Sun, Y., et al. (2024) · arXiv

Parallel Computing and Optimization TechniquesSoftware System Performance and Reliability

Cited by 1

Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration

Fang, H., Tang, S., Cao, J., Zhang, E., Tang, F., & Lee, T.-Y. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 1

Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble

Liu, Z., & Kalinli, O. (2023) · arXiv

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 1

Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversations

Gao, R., Roever, C., & Lau, J. H. (2024) · arXiv

Speech and dialogue systemsLanguage, Discourse, Communication Strategies

Cited by 1

K-STAMM: a knowledge-enhanced spatial - temporal attention model with multimodal fusion for pneumonia prediction

Anbukkarasi, S., Hemalatha, S., Balakrishnan, A., Varadhaganapathy, S., & Easwaramoorthy, S. V. (2026) · Scientific reports

Machine Learning in HealthcareMultimodal Machine Learning Applications

Cited by 1

Link Prediction for Completing Graphical Software Models Using Neural Networks

Leblebici, O., Tuglular, T., & Belli, F. (2023) · IEEE Access

Model-Driven Software Engineering TechniquesSoftware Engineering Research

Cited by 1

ACON: Optimizing Context Compression for Long-horizon LLM Agents

Kang, M., Chen, W.-N., Han, D., Inan, H. A., Wutschitz, L., Chen, Y., Sim, R., & Rajmohan, S. (2025) · arXiv

AI-based Problem Solving and PlanningTopic Modeling

Cited by 1

AI Assistant in JetBrains IDE: Insights and Challenges (Invited Talk)

Sokolov, A. (2024) · Proceedings of the 1st ACM International Conference on AI-Powered Software

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 1

A Case Report On The "A.I. Locked-In Problem": social concerns with modern NLP

Walter, Y. (2022) · arXiv

Speech and dialogue systemsEthics and Social Impacts of AI

Cited by 1

DevSecOps Process Assessment Collaboration Tool: A Novel Method to Inject R&M Into Agile Development

Lazarus, J. I., Truett, L., Fischer, B., & Kershner, C. (2024) · 2024 Annual Reliability and Maintainability Symposium (RAMS)

Software Engineering Techniques and PracticesTechnology Assessment and Management

Cited by 1

Do LLMs "know" internally when they follow instructions?

Heo, J., Heinze-Deml, C., Elachqar, O., Chan, K. H. R., Ren, S., Nallasamy, U., Miller, A., & Narain, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Forgetting Private Textual Sequences in Language Models Via Leave-One-Out Ensemble

Liu, Z., & Kalinli, O. (2024) · ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 1

Towards robust and label-efficient time series representation learning

Emadeldeen, A. I. A. E. (2023)

Time Series Analysis and ForecastingDomain Adaptation and Few-Shot Learning

Cited by 1

Composition in Differential Privacy for General Granularity Notions

Guerra-Balboa, P., Miranda-Pascual, À., Parra-Arnau, J., & Strufe, T. (2024) · 2024 IEEE 37th Computer Security Foundations Symposium (CSF)

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 1

Generative AI collective behavior needs an interactionist paradigm

Ferrarotti, L., Campedelli, G. M., Dessì, R., Baronchelli, A., Iacca, G., Carley, K. M., Pentland, A., Leibo, J. Z., Evans, J., & Lepri, B. (2026) · arXiv

Ethics and Social Impacts of AIMulti-Agent Systems and Negotiation

Cited by 1

Compute Or Load KV Cache? Why Not Both?

Jin, S., Liu, X., Zhang, Q., & Mao, Z. M. (2024) · arXiv

Parallel Computing and Optimization TechniquesNatural Language Processing Techniques

Cited by 1

Automatic quality control of segmentation results using early epochs as data augmentation: application to choroid plexuses

Yazdan-Panah, A., Stankoff, B., & Colliot, O. (2024) · Medical Imaging 2024: Image Processing

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1

Process Supervision via Verbal Critique Improves Reasoning in Large Language Models

Chen, H.-Y. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Pragmatic Radiology Report Generation

Nguyen, D., Chen, C., He, H., & Tan, C. (2023) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 1

A NetHack Learning Environment Language Wrapper for Autonomous Agents

Goodger, N., Vamplew, P., Foale, C., & Dazeley, R. (2023) · Journal of Open Research Software

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 1