Check computer science papers: citations, claims and retractions

ResearchGym: Evaluating Language Model Agents on Real-World AI Research

Garikaparthi, A., Patwardhan, M., & Cohan, A. (2026) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 3

MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources

Lee, D., Satya Prakash, C., FitzGerald, J., & Lehmann, J. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingInformation Retrieval and Search Behavior

Cited by 3

Examining Human-AI Collaboration for Co-Writing Constructive Comments Online

Shahid, F., Dittgen, M., Naaman, M., & Vashistha, A. (2025) · Proceedings of the ACM on Human-Computer Interaction

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 3

Sometimes You Need Facts, and Sometimes a Hug: Understanding Older Adults' Preferences for Explanations in LLM-Based Conversational AI Systems

Mathur, N., Zubatiy, T., Rozga, A., Forlizzi, J., & D Mynatt, E. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Technology Use by Older Adults

Cited by 3

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs

Wu, Y., Liang, S., Zhang, C., Wang, Y., Zhang, Y., Guo, H., Tang, R., & Liu, Y. (2025) · arXiv

Topic ModelingMemory Processes and Influences

Cited by 3

GPU Programlamada CUDA Platformu Kullanılan Paralel Görüntü İşleme Çalışmalarının İncelenmesi

AYDIN, S., SAMET, R., & BAY, Ö. F. (2020) · Politeknik Dergisi

Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques

Cited by 3

Efficient Attention via Control Variates

Zheng, L., Yuan, J., Wang, C., & Kong, L. (2023) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 3

Growing a Tail: Increasing Output Diversity in Large Language Models

Shur-Ofry, M., Horowitz-Amsalem, B., Rahamim, A., & Belinkov, Y. (2026) · Machine Learning with Applications

Topic ModelingEthics and Social Impacts of AI

Cited by 3

Are “Solved Issues” in SWE-bench Really Solved Correctly? An Empirical Study

Wang, Y., Pradel, M., & Liu, Z. (2026) · Proceedings of the 2026 IEEE/ACM 48th International Conference on Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 3

IT PROJECT RISK MANAGEMENT: AN ANALYTICAL REVIEW OF RESEARCH

Yasinetskyi, O., & Fesenko, T. (2025) · Bulletin of NTU "KhPI". Series: Strategic management, portfolio, program and project management

Software Engineering Techniques and PracticesConstruction Project Management and Performance

Cited by 3

Codes of Conduct in Open Source

Frluckaj, H., & Howison, J. (2024) · Equity, Diversity, and Inclusion in Software Engineering

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 3

Observational Scaling Laws and the Predictability of Language Model Performance

Ruan, Y., Maddison, C. J., & Hashimoto, T. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

IDMatchHAR: Semi-Supervised Learning for Sensor-Based Human Activity Recognition Using Pretraining

Takenaka, K., Sakai, S., & Hasegawa, T. (2025) · IEEE Sensors Letters

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 3

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

Ying, H., Zhang, S., Li, L., Zhou, Z., Shao, Y., Fei, Z., Ma, Y., Hong, J., Liu, K., Wang, Z., et al. (2024) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 3

Towards more Human-like Language Models based on Contextualizer Pretraining Strategy

Xiao, C., Hudson, G. T., & Al Moubayed, N. (2023) · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning

Topic ModelingNatural Language Processing Techniques

Cited by 3

Optimists at Heart: Why Do We Research Game AI?

Cook, M. (2022) · 2022 IEEE Conference on Games (CoG)

Artificial Intelligence in GamesDigital Games and Media

Cited by 3

ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models

Arrotta, L., Bettini, C., Civitarese, G., & Fiori, M. (2024) · arXiv

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 3

Drift No More? Context Equilibria in Multi-Turn LLM Interactions

Dongre, V., Rossi, R. A., Lai, V. D., Yoon, D. S., Hakkani-Tür, D., & Bui, T. (2025) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 3

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence

Gao, H.-A., Geng, J., Hua, W., Hu, M., Juan, X., Liu, H., Liu, S., Qiu, J., Qi, X., Wu, Y., et al. (2025) · arXiv

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

Cited by 3

Towards Frame-level Quality Predictions of Synthetic Speech

Kuhlmann, M., Seebauer, F., Wagner, P., & Haeb-Umbach, R. (2025) · Interspeech 2025

Speech and Audio ProcessingSpeech Recognition and Synthesis

Cited by 3

A Definition of AGI

Hendrycks, D., Song, D., Szegedy, C., Lee, H., Gal, Y., Brynjolfsson, E., Li, S., Zou, A., Levine, L., Han, B., et al. (2025) · arXiv

Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications

Cited by 3

What's Next? Exploring Utilization, Challenges, and Future Directions of AI-Generated Image Tools in Graphic Design

Tang, Y., Ciancia, M., Wang, Z., & Gao, Z. (2024) · arXiv

Digital Media and Visual ArtArt, Technology, and Culture

Cited by 3

From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step

Deng, Y., Choi, Y., & Shieber, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Desarrollo Floss y gobernanza de pares: el caso del entorno de escritorio Gnome

Zanotti, A., & Vélez, J. G. (2020) · International Journal of Innovation

Open Source Software InnovationsDigital Platforms and Economics

Cited by 3