Check computer science papers: citations, claims and retractions

A study on the plasticity of neural networks

Berariu, T., Czarnecki, W., De, S., Bornschein, J., Smith, S., Pascanu, R., & Clopath, C. (2021) · arXiv

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 3

LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints

Palmeira Ferraz, T., Mehta, K., Lin, Y.-H., Chang, H.-S., Oraby, S., Liu, S., Subramanian, V., Chung, T., Bansal, M., & Peng, N. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingNatural Language Processing Techniques

Cited by 3

A Large-Scale Corpus of E-mail Conversations with Standard and Two-Level Dialogue Act Annotations

Taniguchi, M., Ueda, Y., Taniguchi, T., & Ohkuma, T. (2020) · Proceedings of the 28th International Conference on Computational Linguistics

Speech and dialogue systemsLanguage, Discourse, Communication Strategies

Cited by 3

Karpa: A training-free method of adapting knowledge graph as references for large language model's reasoning path aggregation

Fang, S., Ma, K., Zheng, T., Du, X., Lu, N., Zhang, G., & Tang, Q. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Advanced Graph Neural NetworksTopic Modeling

Cited by 3

Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding

Bi, S., Hu, Z., Zhang, H., Di, J., & Sun, Z. (2024) · Neural Networks

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 3

Local Law 144: A Critical Analysis of Regression Metrics

Filippi, G., Zannone, S., Hilliard, A., & Koshiyama, A. (2023) · arXiv

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 3

Meeting at Crossroads: An exploration of playful listening through a co-creative AI game

Lee, C., Dimitrakopoulou, D., & Roy, D. (2025) · Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionSocial Robot Interaction and HRI

Cited by 3

Premise Order Matters in Reasoning with Large Language Models

Chen, X., Chi, R. A., Wang, X., & Zhou, D. (2024) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 3

Meta-Harness: End-to-End Optimization of Model Harnesses

Lee, Y., Nair, R., Zhang, Q., Lee, K., Khattab, O., & Finn, C. (2026) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 3

Multi-Class Classification for IoT Attack Detection: An LLM-Based Approach

Mercan, Ö. B., Toprak, A. G., & Osmanca, M. S. (2025) · 2025 33rd Signal Processing and Communications Applications Conference (SIU)

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 3

Towards Anomaly Detection in Reinforcement Learning

Müller, R., Illium, S., Phan, T., Haider, T., & Linnhoff-Popien, C. (2022) · International Joint Conference on Autonomous Agents and Multiagent Systems

Reinforcement Learning in RoboticsAnomaly Detection Techniques and Applications

Cited by 3

Chain of Draft: Thinking Faster by Writing Less

Xu, S., Xie, W., Zhao, L., & He, P. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Evaluating Large Language Models in Scientific Discovery

Song, Z., Lu, J., Du, Y., Yu, B., Pruyn, T. M., Huang, Y., Guo, K., Luo, X., Qu, Y., Qu, Y., et al. (2025) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 3

Abstract LB174: H-optimus-1: A foundation model for computational histopathology

Scalbert, M., Saillard, C., Peeters, T., Gonzalez, L., Valter, D., Llinares-López, F., Mariet, Z. E., & Jenatton, R. (2026) · Cancer Research

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 3

Reconciling Kaplan and Chinchilla Scaling Laws

Pearce, T., & Song, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Data Mining and Machine Learning: Design a Generalized Real Time Sentiment Analysis System on Tweeter Data Using Natural Language Processing

(2019) · International Journal of Engineering and Advanced Technology

Sentiment Analysis and Opinion MiningHate Speech and Cyberbullying Detection

Cited by 3

Organizing Scholarly Knowledge in the Open Research Knowledge Graph: An Open-Science Platform for FAIR Scholarly Knowledge

Auer, S., Stocker, M., Karras, O., Oelen, A., D'Souza, J., & Lorenz, A.-L. (2023) · Proceedings of the Conference on Research Data Infrastructure

Semantic Web and OntologiesResearch Data Management Practices

Cited by 3

Survey on Memory-Augmented Neural Networks: Cognitive Insights to AI Applications

Khosla, S., Zhu, Z., & He, Y. (2023) · arXiv

Neural Networks and ApplicationsTopic Modeling

Cited by 3

Directions of Technical Innovation for Regulatable AI Systems

Shen, X., Brown, H., Tao, J., Strobel, M., Tong, Y., Narayan, A., Soh, H., & Doshi-Velez, F. (2024) · Communications of the ACM

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 3

Understanding Creative Potential and Use Cases of AI-Generated Environments for Virtual Film Productions: Insights from Industry Professionals

Leininger, P., Weber, C. J., & Rothe, S. (2025) · Proceedings of the 2025 ACM International Conference on Interactive Media Experiences

Digital Media and Visual ArtComputer Graphics and Visualization Techniques

Cited by 3

Gateway-Based Certification Approach to Include IoT Nodes in a Trusted Edge/Cloud Environment

Lukaj, V., Martella, F., Fazio, M., Galletta, A., Celesti, A., & Villari, M. (2023) · 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)

IoT and Edge/Fog ComputingAdvanced Authentication Protocols Security

Cited by 3

Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things

Zeeshan, T., Kumar, A., Pirttikangas, S., & Tarkoma, S. (2025) · arXiv

Advanced Database Systems and QueriesMulti-Agent Systems and Negotiation

Cited by 3

WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection

Hong, Y., & Zhang, J. (2024) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 3

Language Agents as Optimizable Graphs

Zhuge, M., Wang, W., Kirsch, L., Faccio, F., Khizbullin, D., & Schmidhuber, J. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 3