Check computer science papers: citations, claims and retractions

A Skill-Based AI Agentic Pipeline for Library of Congress Subject Indexing

Chow, E. H. C. (2026) · arXiv

Library Science and Information SystemsNatural Language Processing Techniques

Cited by 1

A-MemGuard: A Proactive Defense Framework for LLM-Based Agent Memory

Wei, Q., Yang, T., Wang, Y., Li, X., Li, L., Yin, Z., Zhan, Y., Holz, T., Lin, Z., & Wang, X. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 1

From Prompts to Contracts: Harness Engineering for Auditable Enterprise LLM Agents

Ahn, J., & Kim, M. (2026) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 1

Cognitive Memory in Large Language Models

Shan, L., Luo, S., Zhu, Z., Yuan, Y., & Wu, Y. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Preble: Efficient Distributed Prompt Scheduling for LLM Serving

Srivatsa, V., He, Z., Abhyankar, R., Li, D., & Zhang, Y. (2024) · arXiv

Cloud Computing and Resource ManagementParallel Computing and Optimization Techniques

Cited by 1

Will LLMs Sink or Swim? Exploring Decision-Making Under Pressure

Kim, K., Jeon, H., Ryu, J., & Suh, B. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 1

Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks

Wang, C., Duan, H., Zhang, S., Lin, D., & Chen, K. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

DebateQA: Evaluating Question Answering on Debatable Knowledge

Xu, R., Qi, X., Qi, Z., Xu, W., & Guo, Z. (2026) · Findings of the Association for Computational Linguistics: EACL 2026

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1

Learning to Abstain: Reliable Medical Image Segmentation With Rejection Option

Sanisoglu, M. A., Navab, N., & Kim, S. T. (2026) · IEEE Access

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 1

TRACE: Evaluating Execution Efficiency of LLM-Based Code Translation

Gong, Z., Sun, Z., Huang, D., Liang, Q., Zhang, J. M., & Hao, D. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchNatural Language Processing Techniques

Cited by 1

Using personalized support & school-based study groups to increase teachers’ participation in MOOCs: Findings from two European pilot projects

Hertz, B., & Engelhardt, K. (2021) · IUL Research

Online Learning and AnalyticsOnline and Blended Learning

Cited by 1

Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models

Lamb, A., Islam, R., Efroni, Y., Didolkar, A., Misra, D., Foster, D., Molu, L., Chari, R., Krishnamurthy, A., & Langford, J. (2022) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 1

A State-Aware Dual-Tool Architecture for Improved Tool Use in Multi-Turn LLM Dialogue

Pałgan, B., Wawryszczuk, M., Chwał, J., Tkacz, E., & Dzik, R. (2026) · Applied Sciences

Speech and dialogue systemsArtificial Intelligence Applications

Cited by 1

AdvAgent: Controllable Blackbox Red-teaming on Web Agents

Xu, C., Kang, M., Zhang, J., Liao, Z., Mo, L., Yuan, M., Sun, H., & Li, B. (2024) · arXiv

Adversarial Robustness in Machine LearningWeb Application Security Vulnerabilities

Cited by 1

Recent Innovations in Cloud-Optimized Retrieval-Augmented Generation Architectures for AI-Driven Decision Systems

Kumar, S. N. P. (2025) · European Modern Studies Journal

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1

Stop learning it all to mitigate visual hallucination, Focus on the hallucination target

Yoon, D., Song, Y., & Park, W. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 1

Adjusted NPCR and UACI Reference Values for STL Files under IEEE-754 Validity Constraints

Troev, T., & Stoyanov, B. (2026) · Mathematics

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 1

NeBuLa: A discourse aware Minecraft Builder

Chaturvedi, A., Thompson, K., & Asher, N. (2024) · arXiv

Speech and dialogue systemsMultimodal Machine Learning Applications

Cited by 1

It’s a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data

Schnaus, D., Araslanov, N., & Cremers, D. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1

Reinforcement Learning with Rubric Anchors

Huang, Z., Zhuang, Y., Lu, G., Qin, Z., Xu, H., Zhao, T., Peng, R., Hu, J., Shen, Z., Hu, X., et al. (2025) · arXiv

Topic ModelingReinforcement Learning in Robotics

Cited by 1

LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K

Yuan, T., Ning, X., Zhou, D., Yang, Z., Li, S., Zhuang, M., Tan, Z., Yao, Z., Lin, D., Li, B., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization

Zhang, T., Yi, J., Xu, Z., & Shrivastava, A. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 1

A Multimodal Dataset for Mixed Emotion Recognition

Yang, P., Liu, N., Liu, X., Shu, Y., Ji, W., Ren, Z., Sheng, J., Yu, M., Yi, R., Zhang, D., et al. (2023) · Zenodo

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 1

SmartAlert: Integrating Machine Learning and Alert Triggers into Live Electronic Medical Record Systems, Targeting Low-Yield Inpatient Lab Tests

Jiang, Y., Ma, S. P., Liang, A. S., Kim, G., Acharya, A., Mony, S., Punnathanam, S., Makeown, J., Jose, J., Shieh, L., et al. (2026) · medRxiv

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 1