Check computer science papers: citations, claims and retractions

Aula invertida, gestión universitaria innovadora, transformación digital y transcomplejidad

Contreras Pérez, F. (2023) · SUMMA

Educational Innovations and ChallengesEducation, Management, Technology, Human Resources

Cited by 0

LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners

Zheng, J., Cai, X., Li, Q., Zhang, D., Li, Z., Zhang, Y., Song, L., & Ma, Q. (2025) · arXiv

Domain Adaptation and Few-Shot LearningAI-based Problem Solving and Planning

Cited by 0

SSR: Socratic Self-Refine for Large Language Model Reasoning

Shi, H., Liu, Y., Pang, B., Liu, Z. L., Wang, H., Savarese, S., Xiong, C., Zhou, Y., & Yavuz, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Investigating the reproducibility of the social and behavioural sciences

Miske, O., Abatayo, A. L., Daley, M., Dirzo, M., Fox, N. W., Haber, N., Hahn, K., Kline Struhl, M., Mawhinney, B., Silverstein, P., et al. (2026)

Research Data Management PracticesScientific Computing and Data Management

Cited by 0

PASQA: Pitch-Accent-Focused Speech Quality Assessment Model Trained on Synthetic Speech with Accent Errors

Kawamura, M., Shirahata, Y., Mitsui, K., & Shimizu, R. (2026) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 0

Prediction of Postoperative ICU Requirements: Closing the Translational Gap with a Real-World Clinical Benchmark for Artificial Intelligence Approaches

Althammer, A., Berger, F., Spring, O., Simon, P., Girrbach, F., Dieing, M., Brunner, J. O., Shmygalev, S., Bartenschlager, C. C., & Heller, A. R. (2025) · Information

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 0

Code-enabled language models can outperform reasoning models on diverse tasks

Zhang, C. E., Colas, C., Poesia, G., Tenenbaum, J. B., & Andreas, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Évaluer sans discriminer : Vers une régulation éthique et juridique de l’intelligence artificielle dans l’évaluation linguistique en ligne en Algérie

Beghdadi, H., & Khellafi, R. (2025) · Passerelle

Artificial Intelligence in EducationEthics and Social Impacts of AI

Cited by 0

A Comment On "The Illusion of Thinking": Reframing the Reasoning Cliff as an Agentic Gap

Khan, S., Madhavan, S., & Natarajan, K. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 0

A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Dasigi, P., Lo, K., Beltagy, I., Cohan, A., Smith, N. A., & Gardner, M. (2021) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning

Chopra, A., Roy, A., & Herremans, D. (2025) · arXiv

Music and Audio ProcessingMusic Technology and Sound Studies

Cited by 0

ProSPy: A Profiling-Driven SQL-Python Agentic Framework for Enterprise Text-to-SQL

Yang, Z., Zheng, H., Yang, S., Zhang, Y., Li, H., Yu, Z., Yi, X., Hou, C., Xie, D., Hu, C., et al. (2026) · arXiv

Advanced Database Systems and QueriesTopic Modeling

Cited by 0

When Context Overwhelms: A Study of Long-Context vs. Retrieval-Based QA Under Noise

Akbar, Q. U. N., & Akbar, Q. M. (2026)

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

Accelerating the Tesseract Decoder for Quantum Error Correction

Grbic, D., Beni, L. A., & Shutty, N. (2026) · arXiv

Quantum Computing Algorithms and ArchitectureParallel Computing and Optimization Techniques

Cited by 0

AR and VR in the Metaverse: Leveraging AI for Personalized and Adaptive User Experiences

Shrivastava, A., Hundekari, S., Praveen, R., MuhsnHasan, M., Lakhanpal, S., & Bansal, S. (2025) · 2025 International Conference on Information, Implementation, and Innovation in Technology (I2ITCON)

Augmented Reality ApplicationsVirtual Reality Applications and Impacts

Cited by 0

Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling

Li, M., Shi, W., Pagnoni, A., West, P., & Holtzman, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

FineWeb2: One Pipeline to Scale Them All - Adapting Pre-Training Data Processing to Every Language

Penedo, G., Kydlíček, H., Sabolčec, V., Messmer, B., Foroutan, N., Kargaran, A. H., Raffel, C., Jaggi, M., Von Werra, L., & Wolf, T. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Spike Hijacking in Late-Interaction Retrieval

Suresh, K., Vatsa, T., King, T., Kadav, A., & Friedrich, M. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

KernelBench-Verified: Do LLM-Generated Kernels Actually Beat PyTorch?

Zhang, Y., Yu, P., Wang, J., Max, Fan, Reed, J., Mirhoseini, A., & Su, W. (2026) · arXiv

Parallel Computing and Optimization TechniquesSoftware Engineering Research

Cited by 0

QUTE: Quantifying Uncertainty in TinyML with Early-exit-assisted ensembles for model-monitoring

Ghanathe, N. P., & Wilton, S. J. E. (2024) · arXiv

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 0

Parallel Context-of-Experts Decoding for Retrieval Augmented Generation

Corallo, G., & Papotti, P. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Large Language Model-based Role-Playing for Personalized Medical Jargon Extraction

Lim, J. H., Kwon, S., Yao, Z., Lalor, J. P., & Yu, H. (2024) · arXiv

Text Readability and SimplificationBiomedical Text Mining and Ontologies

Cited by 0

TimeX: Phenotype Onset Extraction from Clinical Narratives

Chen, F., Jiang, S., Nguyen, Q. M., Ta, C. N., Wang, K., Chung, W. K., & Weng, C. (2026) · npj Health Systems

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 0

$\textit{New News}$: System-2 Fine-tuning for Robust Integration of New Knowledge

Park, C. F., Zhang, Z., & Tanaka, H. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0