Check computer science papers: citations, claims and retractions

KAPSO: A Knowledge-grounded framework for Autonomous Program Synthesis and Optimization

Nadafian, A., Mohammadshahi, A., & Yazdani, M. (2026) · arXiv

Software Engineering ResearchEvolutionary Algorithms and Applications

Cited by 0

WWW.Serve: Interconnecting Global LLM Services through Decentralization

Wang, H., Xia, Z., Chen, Z., & Chen, B. (2026) · arXiv

Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems

Cited by 0

Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory

Suzgun, M., Yuksekgonul, M., Bianchi, F., Jurafsky, D., & Zou, J. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

GIER: Gap-Driven Self-Refinement for Large Language Models

Dewri, R. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

L0-Reasoning Bench: Evaluating Procedural Correctness in Language Models via Simple Program Execution

Sun, S., Hsieh, C.-P., Ladhak, F., Arakelyan, E., Serano, S. A., & Ginsburg, B. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

FinMaster: A Holistic Benchmark for Mastering Full-Pipeline Financial Workflows with LLMs

Jiang, J., Yang, C., Cui, A., Jin, S., Wang, R., Li, B., Huang, X., Sun, D., & Wang, X. (2025) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 0

Can LLMs Solve ASP Problems? Insights from a Benchmarking Study (Extended Version)

Ren, L., Xiao, G., Qi, G., Geng, Y., & Xue, H. (2025) · arXiv

Logic, Reasoning, and KnowledgeAI-based Problem Solving and Planning

Cited by 0

From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents

Uddin, M. N., Shubham, K., Blanco, E., Baral, C., & Wang, G. (2026) · arXiv

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 0

DR-Arena: an Automated Evaluation Framework for Deep Research Agents

Gao, Y., Zhao, R., Deng, Y., & Zhang, W. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

Differentiable Latent Indexing in LLMs: Toward Native Retrieval as a Cognitive Function

Leocadio, P. (2026) · SSRN Electronic Journal

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Analyzing sports commentary in order to automatically recognize events and extract insights

Miraoui, Y. (2023) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 0

Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning

Wu, Z., Lou, X., Ma, X., Li, Y., Liu, W., Zhang, W., Wang, J., & Zhang, Z. (2026) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 0

Siamese masked reconstruction with temporal rotation consistency for inertial-based human activity recognition

Calatrava-Nicolás, F. M., Stoyanov, T., & Martinez Mozos, O. (2026) · Scientific Reports

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 0

Generative AI and the End of Education

Stockman (2024) · International Conference on AI Research

Digital Education and SocietyArtificial Intelligence in Education

Cited by 0

Agency Flow in a Multi-user Ridesharing System

Adenuga, I. J., & Dodge, J. E. (2024) · Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing

Innovative Human-Technology InteractionEthics and Social Impacts of AI

Cited by 0

LINEADAPTER: Parameter-Efficient Fine-Tuning for Log Anomaly Detection and Root Cause Analysis

Liu, X., Bao, W., Zhang, Y., Li, Y., Ranjan, R., & Jha, D. N. (2025) · 2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)

Software System Performance and ReliabilityTopic Modeling

Cited by 0

How to Steal Reasoning Without Reasoning Traces

Zhang, T., Morris, J. X., & Shmatikov, V. (2026) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 0

ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Hou, B., Zhang, Y., Ji, J., Liu, Y., Qian, K., Andreas, J., & Chang, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Protecting Language Models Against Unauthorized Distillation through Trace Rewriting

Ma, X., Yeoh, W., Zhang, N., & Vorobeychik, Y. (2026) · arXiv

Adversarial Robustness in Machine LearningPhysical Unclonable Functions (PUFs) and Hardware Security

Cited by 0

Skipping Computations in Multimodal LLMs

Shukor, M., & Cord, M. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0

Poly-FEVER: A Multilingual Fact Verification Benchmark for Hallucination Detection in Large Language Models

Zhang, H., Anjum, S., Fan, H., Zheng, W., Huang, Y., & Feng, Y. (2025) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 0

When Does Diversity Rescue Evolutionary Search of LLM Agent Strategies? A Controlled Landscape Study of Monoculture Collapse and the Novelty Escape

ALOBED, M. (2026) · SSRN Electronic Journal

Evolutionary Algorithms and ApplicationsEvolution and Genetic Dynamics

Cited by 0

Evaluating the Performance and Resistance of Dynamic AES Image Encryption to Noise and Key Sensitivity

Abid Hilal, H., & Falah Ahmed, S. (2025) · International Journal of Advances in Scientific Research and Engineering

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 0

Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion

Hoogeboom, E., Mensink, T., Heek, J., Lamerigts, K., Gao, R., & Salimans, T. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisImage and Signal Denoising Methods

Cited by 0