Check computer science papers: citations, claims and retractions

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization

Masserano, L., Ansari, A. F., Han, B., Zhang, X., Faloutsos, C., Mahoney, M. W., Wilson, A. G., Park, Y., Rangapuram, S., Maddix, D. C., et al. (2024) · arXiv

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 1

Meta-Policy Reflexion: Reusable Reflective Memory and Rule Admissibility for Resource-Efficient LLM Agent

Wu, C., Luo, Y., Qu, Z., & Wang, M. (2025) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 1

Safe Distillation Box

Ye, J., Mao, Y., Song, J., Wang, X., Jin, C., & Song, M. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningDigital Rights Management and Security

Cited by 1

Elucidating mechanisms of demographic bias in LLMs for healthcare

Ahsan, H., Sen Sharma, A., Amir, S., Bau, D., & Wallace, B. C. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 1

MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning

Liu, S., Bao, L., Yang, Q., Geng, W., Zheng, B., Li, C., Chen, W., Peng, H., & Yuan, Y. (2026) · arXiv

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 1

A survey on IQA

Wang, L. (2021) · arXiv

Image and Video Quality AssessmentDigital Media Forensic Detection

Cited by 1

On AI-Inspired UI-Design

Wei, J., Courbis, A.-L., Lambolais, T., Dray, G., & Maalej, W. (2024) · arXiv

Usability and User Interface DesignDigital Media and Visual Art

Cited by 1

NRAG: A knowledge-enhanced LLM framework for interpretable neurosurgical disease diagnosis in outpatient and emergency settings

Tian, H., Liu, Y., Dai, X., Dong, X., Yu, J., Wei, W., Wang, B., & Zhou, X. (2026) · IEEE Journal of Biomedical and Health Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 1

Flexible and Efficient Grammar-Constrained Decoding

Park, K., Zhou, T., & D'Antoni, L. (2025) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 1

El software libre y su difusión en Argentina: mercado, Estado, sociedad

Zanotti, A. (2016) · Poliantea

Open Source Software InnovationsScience, Technology, and Education in Latin America

Cited by 1

From Reasoning to Code: GRPO Optimization for Underrepresented Languages

PENNINO, F., RAIMONDI, B., RONDELLI, M., GURIOLI, A., & GABBRIELLI, M. (2026) · Theory and Practice of Logic Programming

Software Engineering ResearchTeaching and Learning Programming

Cited by 1

The Unfireable Safety Kernel: Execution-Time AI Alignment for AI Agents and Other Escapable AI Systems

Dobrin, S., & Chmiel, Ł. (2026) · arXiv

Security and Verification in ComputingAccess Control and Trust

Cited by 1

Autonomics: In search of a foundation for next-generation autonomous systems

Harel, D., Marron, A., & Sifakis, J. (2020) · Proceedings of the National Academy of Sciences

Advanced Software Engineering MethodologiesSafety Systems Engineering in Autonomy

Cited by 1

Empowering Responsible AI Adoption: A Human-in-the-Loop Framework for Small and Medium Enterprises (SMEs)

Joshi, H., & Vaidya, S. (2024) · International Journal of Management and Organizational Research

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 1

Spiral of Silence: How is Large Language Model Killing Information Retrieval? -- A Case Study on Open Domain Question Answering

Chen, X., He, B., Lin, H., Han, X., Wang, T., Cao, B., Sun, L., & Sun, Y. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 1

How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?

Sosa, J., Aloulou, M., Rukhovich, D., Sleimi, R., Changaival, B., Kacem, A., & Aouada, D. (2024) · arXiv

Remote-Sensing Image ClassificationDomain Adaptation and Few-Shot Learning

Cited by 1

AFSPP: Agent Framework for Shaping Preference and Personality with Large Language Models

He, Z., & Zhang, C. (2024) · arXiv

Psychiatry, Mental Health, NeuroscienceMulti-Agent Systems and Negotiation

Cited by 1

Investigating the Impact of Dark Patterns on LLM-Based Web Agents

Ersoy, D., Lee, B., Shreekumar, A., Arunasalam, A., Ibrahim, M., Bianchi, A., & Berkay Celik, Z. (2026) · 2026 IEEE Symposium on Security and Privacy (SP)

Spam and Phishing DetectionWeb Data Mining and Analysis

Cited by 1

DarwinX: Evolving Agent Harnesses Through Natural Selection

Zhang, Y., Dai, Y., Tan, J., Yang, L., Mullur, R., Hoang, T., Hu, Z., Zhu, J., Mui, P., Savarese, S., et al. (2026) · arXiv

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

Cited by 1

Compression Method Matters: Benchmark-Dependent Output Dynamics in LLM Prompt Compression

Johnson, W. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

BabyBear: Cheap inference triage for expensive language models

Khalili, L., You, Y., & Bohannon, J. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Walk the talk? Measuring the faithfulness of large language model explanations

Matton, K., Ness, R. O., Guttag, J., & Kıcıman, E. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 1

Large Language Model Company Policies and Policy Implications in Software Organizations

Khojah, R., Mohamad, M., Erlenhov, L., de Oliveira Neto, F. G., & Leitner, P. (2026) · IEEE Software

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 1

Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities

Amara, K., Klein, L., Lüth, C., Jäger, P., Strobelt, H., & El-Assady, M. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 1