Check computer science papers: citations, claims and retractions

AgentMemBench: A Systematic Benchmark for Evaluating Long-Term Memory Management Strategies in Conversational AI Agents

Cherif, A. (2026) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

Attractor States Emerge in Multi-Turn LLM Conversations

Ko, T.-W., & Geiping, J. (2026) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 0

Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework

Zhi, Z., Feng, C., Daneshmend, A., Orlu, M., Demosthenous, A., Yin, L., Li, D., Liu, Z., & Rodrigues, M. R. D. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0

RSI Arena: Towards Recursive Self-Improvement with Human Feedback

Huang, Y., Wang, Y., Li, L., Chen, Y., Haupt, A., Luo, X., Liu, Z., Choi, J., Juefei-Xu, F., Zhang, X., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

DeepResearch Bench II: Diagnosing Deep Research Agents via Rubrics from Expert Reports

Li, R., Du, M., Xu, B., Zhu, C., Wang, X., & Mao, Z. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

FastSHAP-XAD Based Real Time and Explainable Log Anomaly Detection with Root-Cause Analysis

Rajamani, M., Ganesh, G., Anandaraman, D., & Pavithra, S. (2026) · 2026 4th International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)

Software System Performance and ReliabilityExplainable Artificial Intelligence (XAI)

Cited by 0

Effective Harness Engineering for Algorithm Discovery with Coding Agents

Ishibashi, Y., Yano, T., & Oyamada, M. (2026) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 0

Below-Chance Blindness: Prompted Underperformance in Small LLMs Produces Positional Bias Rather than Answer Avoidance

Cacioli, J.-P. (2026) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 0

Supersede: Diagnosing and Training the Memory-Update Gap in LLM Agents

Patel, V. (2026) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

MCP-38: A Comprehensive Threat Taxonomy for Model Context Protocol Systems (v1.0)

Shen, Y. T., Toyoda, K., & Leung, A. (2026) · arXiv

Adversarial Robustness in Machine LearningWeb Application Security Vulnerabilities

Cited by 0

Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It

da Silva, M. F., Dangel, F., & Oore, S. (2025) · arXiv

Stochastic Gradient Optimization TechniquesDomain Adaptation and Few-Shot Learning

Cited by 0

Reconfigurable router using RLBS algorithm

Oommen, D., & Pradeep, C. (2012) · 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)

Interconnection Networks and SystemsVLSI and FPGA Design Techniques

Cited by 0

Revealing and Mitigating Over-Attention in Knowledge Editing

Wang, P., Tang, Z., Zhou, K., Li, J., Zhu, Q., & Zhang, M. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

Hybrid Lightweight Image Encryption for SecureV2X Communication Using DWT, Chaotic Maps, and PRESENT Cipher

Malsaria, A., Jyotiyana, M., & Sharma, K. (2025) · 2025 IEEE 4th International Conference for Advancement in Technology (ICONAT)

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 0

Context Collapse in Long-Horizon Agents: Benchmarking Hierarchical Memory against RAG and Summarization

Raheem, E. (2026) · SSRN Electronic Journal

Speech and dialogue systemsTopic Modeling

Cited by 0

AD-R1: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving with Impartial World Models

Yan, T., Tang, T., Gui, X., Li, Y., Zheng, J., Huang, W., Kong, L., Han, W., Zhou, X., Zhang, X., et al. (2026) · 2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition- FINDINGS Track (CVPRF)

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 0

Death of the Novel(ty): Beyond n-Gram Novelty as a Metric for Textual Creativity

Saakyan, A., Kim, N., Muresan, S., & Chakrabarty, T. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Enabling Personalized Long-term Interactions in LLM-based Agents through Persistent Memory and User Profiles

Westhäußer, R., Minker, W., & Zepf, S. (2025) · arXiv

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 0

Geopolitical competition, online radicalisation, and organisational culture as vectors of the evolving insider threat

Wood, P. (2026) · Discover Global Society

Information and Cyber SecurityTerrorism, Counterterrorism, and Political Violence

Cited by 0

Deepfake Detection with Data Privacy Protection

Wu, M., Wang, F., Wu, X., Yu, F., Wang, B., & Song, Z. (2022) · 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)

Digital Media Forensic DetectionPrivacy-Preserving Technologies in Data

Cited by 0

Unified Speech-Text Pre-training for Speech Translation and Recognition

Tang, Y., Gong, H., Dong, N., Wang, C., Hsu, W.-N., Gu, J., Baevski, A., Li, X., Mohamed, A., Auli, M., et al. (2022) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 0

Promoting critical reading and academic writing skills using online blended modules in English medium of instruction environments

Hanafy, S. (2026) · International Journal of Education and Practice

English Language Learning and TeachingEFL/ESL Teaching and Learning

Cited by 0

AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials

Xu, Y., Lu, D., Shen, Z., Wang, J., Wang, Z., Mao, Y., Xiong, C., & Yu, T. (2024) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 0

Conceptualizing Library Intelligence Systems: positioning agentic AI as the Fourth Library Service paradigm

Oladokun, B. D. (2026) · Journal of Electronic Resources Librarianship

Library Science and InformationWeb and Library Services

Cited by 0