Check computer science papers: citations, claims and retractions

Quantifying construct validity in large language model evaluations

Kearns, R. O. (2026) · arXiv

Topic ModelingPsychometric Methodologies and Testing

Cited by 1

Artificial Intelligence in Dermatopathology: An Update and Review of the Current Literature

Abu-Dayeh, A., Cazzato, G., & Giubellino, A. (2026) · Diagnostics

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 1

Breaking even with magic: demonstration of a high-fidelity logical non-Clifford gate

Dasu, S., Burton, S., Mayer, K., Amaro, D., Gerber, J. A., Gilmore, K., Gresh, D., DelVento, D., Potter, A. C., & Hayes, D. (2025) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1

HGRN2: Gated Linear RNNs with State Expansion

Qin, Z., Yang, S., Sun, W., Shen, X., Li, D., Sun, W., & Zhong, Y. (2024) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 1

cadvisor

Tolaram, N. (2023) · Software Development with Go

Cloud Computing and Resource ManagementSoftware System Performance and Reliability

Cited by 1

RIRAG: Regulatory Information Retrieval and Answer Generation

Gokhan, T., Wang, K., Gurevych, I., & Briscoe, T. (2024) · arXiv

Topic ModelingArtificial Intelligence in Law

Cited by 1

Beyond Explanation: Evidentiary Rights for Algorithmic Accountability

Stewart, M. (2026) · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 1

How well can machine-generated texts be identified and can language models be trained to avoid identification?

Schneider, S., Steuber, F., Schneider, J. A. G., & Rodosek, G. D. (2023) · arXiv

Authorship Attribution and ProfilingTopic Modeling

Cited by 1

ISFL-AE: Insider-Specific Feature Learning Autoencoder for Lightweight Insider Threat Detection

Kim, Y., & Kim, Y.-G. (2026) · IEEE Transactions on Information Forensics and Security

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 1

The Verification Bottleneck in AI-Accelerated Knowledge Work: Queueing Epistemics, Verification Capacity and Adaptive Human Oversight

TAN, K. H. (2026) · Open Access Journal of Multidisciplinary Research

Ethics and Social Impacts of AIHuman-Automation Interaction and Safety

Cited by 1

ПЕРСПЕКТИВИ / МОЖЛИВОСТІ ЗАСТОСУВАННЯ CHAT GPT ДЛЯ СТВОРЕННЯ МЕТАДАНИХ БІБЛІОТЕЧНИХ РЕСУРСІВ

СОКІЛ, М., & АНДРУХІВ, А. (2024) · Herald of Khmelnytskyi National University. Technical sciences

Library Science and Information SystemsLibrary Science and Information

Cited by 1

Recursive Language Models

Zhang, A. L., Kraska, T., & Khattab, O. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

CHiL(L)Grader: Calibrated Human-in-the-Loop Short-Answer Grading

Raikote, P., Randl, K., Miliou, I., Lakes, A., & Papapetrou, P. (2026) · arXiv

Educational Technology and AssessmentArtificial Intelligence in Education

Cited by 1

Paloma: A Benchmark for Evaluating Language Model Fit

Magnusson, I., Bhagia, A., Hofmann, V., Soldaini, L., Jha, A. H., Tafjord, O., Schwenk, D., Walsh, E. P., Elazar, Y., Lo, K., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

EvoSkill: Automated Skill Discovery for Multi-Agent Systems

Alzubi, S., Provenzano, N., Bingham, J., Chen, W., & Vu, T. (2026) · arXiv

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

Cited by 1

Towards a Science of AI Agent Reliability

Rabanser, S., Kapoor, S., Kirgis, P., Liu, K., Utpala, S., & Narayanan, A. (2026) · arXiv

Adversarial Robustness in Machine LearningSafety Systems Engineering in Autonomy

Cited by 1

Can sparse autoencoders be used to decompose and interpret steering vectors?

Mayne, H., Yang, Y., & Mahdi, A. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 1

Self-Challenging Language Model Agents

Zhou, Y., Levine, S., Weston, J., Li, X., & Sukhbaatar, S. (2025) · Advances in Neural Information Processing Systems 38

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 1

Paradata

(2020) · SAGE Research Methods Foundations

Research Data Management PracticesData Analysis and Archiving

Cited by 1

On The Fragility of Learned Reward Functions

McKinney, L., Duan, Y., Krueger, D., & Gleave, A. (2023) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 1

Overcoming the insider: reducing employee computer crime through Situational Crime Prevention

Willison, R., & Siponen, M. (2009) · Communications of the ACM

Information and Cyber SecurityCybercrime and Law Enforcement Studies

Cited by 1

DiffSim: Taming Diffusion Models for Evaluating Visual Similarity

Song, Y., Liu, X., & Shou, M. Z. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 1

On Randomness in Agentic Evals

Bjarnason, B. H., Silva, A., & Monperrus, M. (2026) · arXiv

Software Engineering ResearchAI-based Problem Solving and Planning

Cited by 1

NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers?

Leiter, C., Belouadi, J., Chen, Y., Zhang, R., Larionov, D., Kostikova, A., & Eger, S. (2024) · arXiv

Topic Modelingscientometrics and bibliometrics research

Cited by 1