Check computer science papers: citations, claims and retractions

The Value Axis: Language Models Encode Whether They're on the Right Track

Jiang, N., Kauvar, I., & Lindsey, J. (2026) · arXiv

Topic ModelingReinforcement Learning in Robotics

Cited by 0

Interestingness as an Inductive Heuristic for Future Compression Progress

Herrmann, V., & Schmidhuber, J. (2026) · arXiv

Computability, Logic, AI AlgorithmsAlgorithms and Data Compression

Cited by 0

DRACO: a Cross-Domain Benchmark for Deep Research Accuracy, Completeness, and Objectivity

Zhong, J., Zhang, H., Southern, C., Yang, J., Wang, T., Jung, K., Zhang, S., Yarats, D., Ho, J., & Ma, J. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Are Self-Evolving Agents Continual Learners?

Chen, X., Huang, Y., Xu, Y., Zhao, Z., McQuinn, E., Liu, J., & Yao, H. (2026) · arXiv

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 0

From avoidance to adoption: strategies for integrating AI in higher education contexts

Gerard, J., Hadi, M. U., Natsheh, B. R. R., Singh, M., & Reid, A. (2026) · Frontiers in Education

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 0

Enhancing LLM Reasoning with Reward-guided Tree Search

Jiang, J., Chen, Z., Min, Y., Chen, J., Cheng, X., Wang, J., Tang, Y., Sun, H., Deng, J., Zhao, W. X., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation

Bhattarai, M., Santos, J. E., Jones, S., Biswas, A., Alexandrov, B., & O'Malley, D. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

Prompt-to-Leaderboard

Frick, E., Chen, C., Tennyson, J., Li, T., Chiang, W.-L., Angelopoulos, A. N., & Stoica, I. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

A Delay-Free Adaptive Stepsize for the Incremental Aggregated Gradient Method

Deng, Z., Wu, X., & Lu, J. (2025) · IEEE Control Systems Letters

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 0

On Codex Prompt Engineering for OCL Generation: An Empirical Study

Abukhalaf, S., Hamdaqa, M., & Khomh, F. (2023) · arXiv

Model-Driven Software Engineering TechniquesSoftware Engineering Research

Cited by 0

Agent Skills: A Data-Driven Analysis of Claude Skills for Extending Large Language Model Functionality

Ling, G., Zhong, S., & Huang, R. (2026) · arXiv

Software Engineering ResearchArtificial Intelligence Applications

Cited by 0

Explainability of decoder-only clinical large language models: A scoping review

Mishra, N., Abu-Hanna, A., & Calixto, I. (2026) · Artificial Intelligence in Medicine

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 0

AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active Learning

Gómez, P., Ruhberg, L. E., Nardone, M. T., & O'Ryan, D. (2025) · arXiv

Anomaly Detection Techniques and ApplicationsGalaxies: Formation, Evolution, Phenomena

Cited by 0

Test-time regression: a unifying framework for designing sequence models with associative memory

Wang, K. A., Shi, J., & Fox, E. B. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

GPT-5.5: evolution of agentic artificial intelligence (AI) in libraries

Barman, B., Rahman, M. M., & Sarkar, R. (2026) · Library Hi Tech News

Library Science and InformationWeb and Library Services

Cited by 0

TALM: Dynamic Tree-Structured Multi-Agent Framework with Long-Term Memory for Scalable Code Generation

Shen, M.-T., & Joung, Y.-J. (2025) · arXiv

Software Engineering ResearchAI-based Problem Solving and Planning

Cited by 0

Artificial intelligence readiness in academic libraries: a strategic multidimensional assessment framework

Habiba, U., & Mostak Gausul Hoq, K. (2026) · Library Hi Tech News

Library Science and InformationWeb and Library Services

Cited by 0

Unable to Forget: Proactive Interference Reveals Working Memory Limits in LLMs Beyond Context Length

Wang, C., & Sun, J. V. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Generativism: Toward a Learning Theory for the Age of Generative Artificial Intelligence

Li, S., & Zheng, J. (2026) · arXiv

Artificial Intelligence in EducationDigital Education and Society

Cited by 0

MARFT: Multi-Agent Reinforcement Fine-Tuning

Liao, J., Wen, M., Wang, J., & Zhang, W. (2025) · arXiv

Reinforcement Learning in RoboticsMulti-Agent Systems and Negotiation

Cited by 0

EvoTool: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection

Yang, S., Han, S. C., Ma, X., Li, Y., Madani, M. R. G., & Hovy, E. (2026) · arXiv

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

Cited by 0

Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents

Su, M., Guo, Y., Hou, Z., Bai, L., Li, Z., Zhang, Y., Yin, G., Lin, W., Jin, X., Guo, J., et al. (2026) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

Harmonica-inspired digital musical instrument design based on an existing gestural performance repertoire

Vogels, J. (2015) · McGill University

Music Technology and Sound StudiesInteractive and Immersive Displays

Cited by 0

LLM-as-a-Verifier: A General-Purpose Verification Framework

Kwok, J., Li, S., Atreya, P., Liu, Y., Jiang, Y., Finn, C., Pavone, M., Stoica, I., & Mirhoseini, A. (2026) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 0