Check computer science papers: citations, claims and retractions

Think before you speak: Training Language Models With Pause Tokens

Goyal, S., Ji, Z., Rawat, A. S., Menon, A. K., Kumar, S., & Nagarajan, V. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Validation of Context Respectful Counseling Agent

Shinozaki, T., Yamamoto, Y., Tsuruta, S., & Knauf, R. (2015) · 2015 IEEE International Conference on Systems, Man, and Cybernetics

Emotion and Mood RecognitionSpeech and dialogue systems

Cited by 2

Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting

Wang, R., Wang, H., Mi, F., Chen, Y., Xue, B., Wong, K.-F., & Xu, R. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 2

Data Protection Method with Blockchain against Fabrication of Video by Surveillance Cameras

Uda, R. (2020) · Proceedings of the 2020 2nd International Conference on Blockchain Technology

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 2

Development and evaluation of a machine learning prediction model for short-term mortality in patients with diabetes or hyperglycemia at emergency department admission

Wändell, P., Wierzbicka, M., Sigurdsson, K., Olofsson, A., Wachtler, C., Wessman, T., Melander, O., Ekelund, U., Björkelund, A., Carlsson, A. C., et al. (2025) · Cardiovascular Diabetology

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 2

Secure and Efficient Block Cipher Mode Design for Parallel Processing and Reliable Security

Vatsavayi, V. K., & Bommireddy, D. R. (2026) · Cryptography

Cryptographic Implementations and SecurityChaos-based Image/Signal Encryption

Cited by 2

Adaptive Deception Architectures: Conceptual Foundations for LLM-Powered Honeypot Systems

Érsok, M., Balogh, Á., Kail, E., & Bánáti, A. (2025) · 2025 IEEE 19th International Symposium on Applied Computational Intelligence and Informatics (SACI)

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 2

SelfGoal: Your Language Agents Already Know How to Achieve High-level Goals

Yang, R., Chen, J., Zhang, Y., Yuan, S., Chen, A., Richardson, K., Xiao, Y., & Yang, D. (2024) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence in Games

Cited by 2

ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows

Padigela, H., Shah, C., & Juyal, D. (2025) · arXiv

Software Engineering ResearchArtificial Intelligence Applications

Cited by 2

A Computer-Aided Diagnosis System of Fetal Nucleated Red Blood Cells With Convolutional Neural Network

Sun, C., Wang, R., Zhao, L., Han, L., Ma, S., Liang, D., Wang, L., Tuo, X., Zhang, Y., Zhong, D., et al. (2022) · Archives of Pathology & Laboratory Medicine

Digital Imaging for Blood DiseasesCell Image Analysis Techniques

Cited by 2

Programming Puzzles

Schuster, T., Kalyan, A., Polozov, O., & Kalai, A. T. (2021) · arXiv

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 2

DeepSWE: Measuring Frontier Coding Agents on Original, Long-Horizon Engineering Tasks

Huang, W., Lee, C., Tng, L., & Ge, S. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 2

Robust Federated Learning with Adaptable Learning Rate

Zhou, J., Zhong, Z., Wang, J., Zhang, X., Chen, F., & Yan, C. (2021) · 2021 7th International Conference on Big Data and Information Analytics (BigDIA)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 2

Rethinking Verification for LLM Code Generation: From Generation to Testing

Ma, Z., Zhang, T., Cao, M., Liu, J., Zhang, W., Luo, M., Zhang, S., & Chen, K. (2025) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 2

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case

Díaz-Rodríguez, N., Lamas, A., Sanchez, J., Franchi, G., Donadello, I., Tabik, S., Filliat, D., Cruz, P., Montes, R., & Herrera, F. (2022) · Information Fusion

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 2

Rendering Techniques for Computer-Aided Design

Feldman, S. (1994) · SMPTE Journal

Computer Graphics and Visualization Techniques3D Shape Modeling and Analysis

Cited by 2

Mining for Species, Locations, Habitats, and Ecosystems from Scientific Papers in Invasion Biology: A Large-Scale Exploratory Study with Large Language Models

D'Souza, J., Laubach, Z., Al Mustafa, T., Zarrieß, S., Frühstückl, R., & Illari, P. (2025)

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 2

Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs

Fang, Y., Li, M., Wang, W., Lin, H., & Feng, F. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation

Lee, S.-H., Choi, H.-Y., & Lee, S.-W. (2024) · arXiv

Speech Recognition and SynthesisGenerative Adversarial Networks and Image Synthesis

Cited by 2

Keep a Human in the Machine and Other Lessons Learned from Deploying and Maintaining Colandr

Cheng, S., & Augustin, C. (2021) · CHANCE

Open Source Software InnovationsComputational and Text Analysis Methods

Cited by 2

Agent S: An Open Agentic Framework that Uses Computers Like a Human

Agashe, S., Han, J., Gan, S., Yang, J., Li, A., & Wang, X. E. (2024) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 2

Near to Mid-term Risks and Opportunities of Open-Source Generative AI

Eiras, F., Petrov, A., Vidgen, B., de Witt, C. S., Pizzati, F., Elkins, K., Mukhopadhyay, S., Bibi, A., Csaba, B., Steibel, F., et al. (2024) · arXiv

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 2

Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement

Yin, X., Wang, X., Pan, L., Lin, L., Wan, X., & Wang, W. Y. (2024) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 2

Active Inference in Hebbian Learning Networks

Safa, A., Verbelen, T., Keuninckx, L., Ocket, I., Bourdoux, A., Catthoor, F., Gielen, G., & Cauwenberghs, G. (2023) · arXiv

Reinforcement Learning in RoboticsEmbodied and Extended Cognition

Cited by 2