Check computer science papers: citations, claims and retractions

LeDex: Training LLMs to Better Self-Debug and Explain Code

Jiang, N., Li, X., Wang, S., Zhou, Q., Hossain, S. B., Ray, B., Kumar, V., Ma, X., & Deoras, A. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 13

RewardBench: Evaluating Reward Models for Language Modeling

Lambert, N., Pyatkin, V., Morrison, J., Miranda, L., Lin, B. Y., Chandu, K., Dziri, N., Kumar, S., Zick, T., Choi, Y., et al. (2025) · Findings of the Association for Computational Linguistics: NAACL 2025

Natural Language Processing TechniquesTopic Modeling

Cited by 13

Efficient Intra-Rack Resource Disaggregation for HPC Using Co-Packaged DWDM Photonics

Michelogiannakis, G., Arafa, Y., Cook, B., Dai, L. Y., Hameed Badawy, A.-H., Glick, M., Wang, Y., Bergman, K., & Shalf, J. (2023) · 2023 IEEE International Conference on Cluster Computing (CLUSTER)

Interconnection Networks and SystemsAdvanced Optical Network Technologies

Cited by 13

Workload-Aware Runtime Energy Management for HPC Systems

Reddy Basireddy, K., Wachter, E. W., Al-Hashimi, B. M., & Merrett, G. (2018) · 2018 International Conference on High Performance Computing & Simulation (HPCS)

Parallel Computing and Optimization TechniquesEnergy Efficiency in Computing

Cited by 13

Understanding the effects of human-written paraphrases in LLM-generated text detection

Lau, H. T., & Zubiaga, A. (2025) · Natural Language Processing Journal

Authorship Attribution and ProfilingTopic Modeling

Cited by 13

AutoIAS: Automatic Integrated Architecture Searcher for Click-Trough Rate Prediction

Wei, Z., Wang, X., & Zhu, W. (2021) · Proceedings of the 30th ACM International Conference on Information & Knowledge Management

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 13

Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Sun, K., Xu, Y. E., Zha, H., Liu, Y., & Dong, X. L. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning

Garcia-Saez, A., & Riu, J. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 13

ODIN: Disentangled Reward Mitigates Hacking in RLHF

Chen, L., Zhu, C., Soselia, D., Chen, J., Zhou, T., Goldstein, T., Huang, H., Shoeybi, M., & Catanzaro, B. (2024) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 13

On the Application of Sentence Transformers to Automatic Short Answer Grading in Blended Assessment

Ahmed, A., Joorabchi, A., & Hayes, M. J. (2022) · 2022 33rd Irish Signals and Systems Conference (ISSC)

Topic ModelingEducational Technology and Assessment

Cited by 13

The Agentic-AI Core: An AI-Empowered, Mission-Oriented Core Network for Next-Generation Mobile Telecommunications

Li, X., Shi, W., Zhang, H., Peng, C., Wu, S., & Tong, W. (2025) · Engineering

Software-Defined Networks and 5GAdvanced Data and IoT Technologies

Cited by 13

Generative to Agentic AI: Survey, Conceptualization, and Challenges

Schneider, J. (2025) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 13

Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters

Guo, Z., Xiang, J., Ma, K., Zhou, W., Li, H., & Zhang, R. (2024) · arXiv

3D Shape Modeling and AnalysisHuman Motion and Animation

Cited by 13

Hidden Trigger Backdoor Attacks

Saha, A., Subramanya, A., & Pirsiavash, H. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 13

Raidar: geneRative AI Detection viA Rewriting

Mao, C., Vondrick, C., Wang, H., & Yang, J. (2024) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 13

CoD, towards an interpretable medical agent using chain of diagnosis

Chen, J., Gui, C., Gao, A., Ji, K., Wang, X., Wan, X., & Wang, B. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

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

Cited by 13

Morning or Evening? An Examination of Circadian Rhythms of CS1 Students

Zavgorodniaia, A., Shrestha, R., Leinonen, J., Hellas, A., & Edwards, J. (2021) · 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 13

Explainable artificial intelligence for searching frequency characteristics in Parkinson's disease tremor

Lee, R. E., & Chan, P. Y. (2023) · Scientific Reports

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare

Cited by 13

Using Learner Analytics to Explore the Potential Contribution of Multimodal Formative Assessment to Academic Success in Higher Education

Kohnke, L., Foung, D., & Chen, J. (2022) · Sage Open

Online Learning and AnalyticsStudent Assessment and Feedback

Cited by 13

Resilience of Large Language Models for Noisy Instructions

Wang, B., Wei, C., Liu, Z., Lin, G., & Chen, N. F. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Natural Language Processing TechniquesTopic Modeling

Cited by 13

CodeProcess Charts: Visualizing the Process of Writing Code

Shrestha, R., Leinonen, J., Hellas, A., Ihantola, P., & Edwards, J. (2022) · Proceedings of the 24th Australasian Computing Education Conference

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 13

a survey on GPT-3

Zong, M., & Krishnamachari, B. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

Computation of high-frequency sub-national spatial consumer price indexes using web scraping techniques

Benedetti, I., Laureti, T., Palumbo, L., & Rose, B. M. (2022) · Economies

Web Data Mining and AnalysisEconomics of Agriculture and Food Markets

Cited by 13

Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation

Chu, Y.-W., Zhang, K., Malon, C., & Min, M. R. (2025) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 13