Check computer science papers: citations, claims and retractions

Iterative Reasoning Preference Optimization

Pang, R. Y., Yuan, W., Cho, K., He, H., Sukhbaatar, S., & Weston, J. (2024) · arXiv

Constraint Satisfaction and OptimizationLogic, Reasoning, and Knowledge

Cited by 15

LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Yue, Z., Rabhi, S., Moreira, G. D. S. P., Wang, D., & Oldridge, E. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 15

Building Safer AGI by introducing Artificial Stupidity

Trazzi, M., & Yampolskiy, R. V. (2018) · arXiv

Psychiatry, Mental Health, NeuroscienceEthics and Social Impacts of AI

Cited by 15

RouteLLM: Learning to Route LLMs with Preference Data

Ong, I., Almahairi, A., Wu, V., Chiang, W.-L., Wu, T., Gonzalez, J. E., Kadous, M. W., & Stoica, I. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

CARMIE: A Conversational Medication Assistant for Heart Failure

Lobo, J., Ferreira, L., & Ferreira, A. J. (2017) · International Journal of E-Health and Medical Communications

Speech and dialogue systemsMobile Health and mHealth Applications

Cited by 15

A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations

Mantha, A., Arora, Y., Gupta, S., Kanumala, P., Liu, Z., Guo, S., & Achan, K. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 15

Efficient and Self-Recursive Delay Vandermonde Algorithm for Multi-beam Antenna Arrays

Perera, S. M., Madanayake, A., & Cintra, R. J. (2020) · IEEE Open Journal of Signal Processing

Digital Filter Design and ImplementationMatrix Theory and Algorithms

Cited by 15

Measuring and Mitigating Gender Bias in Legal Contextualized Language Models

Bozdag, M., Sevim, N., & Koç, A. (2024) · ACM Transactions on Knowledge Discovery from Data

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 15

Lessons learned from RadiologyNET foundation models for transfer learning in medical radiology

Napravnik, M., Hržić, F., Urschler, M., Miletić, D., & Štajduhar, I. (2025) · Scientific Reports

Domain Adaptation and Few-Shot LearningArtificial Intelligence in Healthcare and Education

Cited by 15

Adaptive Learning in AI Agents for the Metaverse: The ALMAA Framework

Xia, Y., Shin, S.-Y., & Lee, H.-A. (2024) · Applied Sciences

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence Applications

Cited by 15

Open-ended remote sensing visual question answering with transformers

Al Rahhal, M. M., Bazi, Y., Alsaleh, S. O., Al-Razgan, M., Mekhalfi, M. L., Al Zuair, M., & Alajlan, N. (2022) · International Journal of Remote Sensing

Multimodal Machine Learning ApplicationsRemote-Sensing Image Classification

Cited by 15

ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems

Simard, P., Chickering, D., Lakshmiratan, A., Charles, D., Bottou, L., Suarez, C. G. J., Grangier, D., Amershi, S., Verwey, J., & Suh, J. (2014) · arXiv

Machine Learning and AlgorithmsRecommender Systems and Techniques

Cited by 15

PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph

Yu, D., Hu, Y., Li, Y., & Zhao, L. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Advanced Graph Neural NetworksTopological and Geometric Data Analysis

Cited by 15

Real-Time Implementation and Testing of VoIP Vocoders with Asterisk PBX Using Wireshark Packet Analyzer

Chinna Rao, R., Lakshmi, K. M., Raja, C., Varma, P. B. S., Rao, G. R. K., & Patibandla, A. (2022) · Journal of Interconnection Networks

Speech and Audio ProcessingNetwork Traffic and Congestion Control

Cited by 15

Hamming distributions of popular perceptual hashing techniques

McKeown, S., & Buchanan, W. J. (2023) · Forensic Science International: Digital Investigation

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 15

Adaptive activation function generation for artificial neural networks through fuzzy inference with application in grooming text categorisation

Zuo, Z., Li, J., Wei, B., Yang, L., Chao, F., & Naik, N. (2019) · 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Neural Networks and ApplicationsFuzzy Logic and Control Systems

Cited by 15

Conversational Bootstrapping and Other Tricks of a Concierge Robot

Guo, S., Lenchner, J., Connell, J., Dholakia, M., & Muta, H. (2017) · Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 15

Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems

Panariello, M., Ge, W., Tak, H., Todisco, M., & Evans, N. (2023) · INTERSPEECH 2023

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 15

SDP Approximation of a Fractional Delay and the Design of Dual-Tree Complex Wavelet Transform

Dumitrescu, B. (2008) · IEEE Transactions on Signal Processing

Digital Filter Design and ImplementationMathematical Analysis and Transform Methods

Cited by 15

The Rise of AI Search: Implications for Information Markets and Human Judgement at Scale

Aral, S., Li, H., & Zuo, R. (2026) · arXiv

Information Retrieval and Search BehaviorMisinformation and Its Impacts

Cited by 15

AlphaEvolve: A coding agent for scientific and algorithmic discovery

Novikov, A., Vũ, N., Eisenberger, M., Dupont, E., Huang, P.-S., Wagner, A. Z., Shirobokov, S., Kozlovskii, B., Ruiz, F. J. R., Mehrabian, A., et al. (2025) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 15

PyChatAI: Enhancing Python Programming Skills—An Empirical Study of a Smart Learning System

Alanazi, M., Soh, B., Samra, H., & Li, A. (2025) · Computers

Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning

Cited by 15

KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications

Lee, H., Hong, S., Park, J., Kim, T., Kim, G., & Ha, J.-W. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 15

FLASH: F ast Neura l A rchitecture S earch with H ardware Optimization

Li, G., Mandal, S. K., Ogras, U. Y., & Marculescu, R. (2021) · ACM Transactions on Embedded Computing Systems

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 15