Check computer science papers: citations, claims and retractions

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens

Zhao, C., Tan, Z., Ma, P., Li, D., Jiang, B., Wang, Y., Yang, Y., & Liu, H. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms

Handa, K., Clapper, M., Boyle, J., Wang, R. E., Yang, D., Yeager, D. S., & Demszky, D. (2023) · arXiv

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 5

MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents

Tan, H., Zhang, Z., Ma, C., Chen, X., Dai, Q., & Dong, Z. (2025) · arXiv

AI-based Problem Solving and PlanningSpeech and dialogue systems

Cited by 5

A One-Page Text Entry Method Optimized for Rectangle Smartwatches

Jang, R., Jung, C., Mohaisen, D., Lee, K., & Nyang, D. (2022) · IEEE Transactions on Mobile Computing

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 5

Self-Evolving GPT: A Lifelong Autonomous Experiential Learner

Gao, J., Ding, X., Cui, Y., Zhao, J., Wang, H., Liu, T., & Qin, B. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 5

Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules

Irie, K., Faccio, F., & Schmidhuber, J. (2022) · arXiv

Neural Networks and ApplicationsNumerical Solvers for Ordinary Differential Equations

Cited by 5

Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and Occupations

Koonchanok, R., Pan, Y., & Jang, H. (2023) · arXiv

Sentiment Analysis and Opinion MiningEthics and Social Impacts of AI

Cited by 5

MEDDxAgent: A unified modular agent framework for explainable automatic differential diagnosis

Rose, D. P., Hung, C.-C., Lepri, M., Alqassem, I., Gashteovski, K., & Lawrence, C. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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

Cited by 5

Towards graceful turn management in human-agent interaction for people with cognitive impairments

Yaghoubzadeh, R., & Kopp, S. (2016) · 7th Workshop on Speech and Language Processing for Assistive Technologies (SLPAT 2016)

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 5

“It Has to Ignite Their Creativity”: Opportunities for Generative Tools for Game Masters

Tang, K., Gasque, T. M., Donley, R., & Sullivan, A. (2023) · Proceedings of the 18th International Conference on the Foundations of Digital Games

Artificial Intelligence in GamesDigital Games and Media

Cited by 5

Automatic Analysis of Substantiation in Scientific Peer Reviews

Guo, Y., Shang, G., Rennard, V., Vazirgiannis, M., & Clavel, C. (2023) · arXiv

Sentiment Analysis and Opinion MiningAdvanced Text Analysis Techniques

Cited by 5

ProSLM: A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering

Vakharia, P., Kufeldt, A., Meyers, M., Lane, I., & Gilpin, L. H. (2024) · Lecture Notes in Computer Science

Explainable Artificial Intelligence (XAI)Logic, Reasoning, and Knowledge

Cited by 5

Human-in-the-loop tabular data extraction methods for historical climate data rescue

Vercruysse, B., Birkholz, J. M., Chandrasekar, K. K. T., Muheki, D., Thiery, W., Verbeeck, H., Hufkens, K., Jacobsen, K., & Verbruggen, C. (2026) · International Journal on Document Analysis and Recognition (IJDAR)

Handwritten Text Recognition TechniquesDigital Humanities and Scholarship

Cited by 5

The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition

Chochlakis, G., Potamianos, A., Lerman, K., & Narayanan, S. (2024) · arXiv

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 5

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination

Wu, M., Zhang, Z., Dong, Q., Xi, Z., Zhao, J., Jin, S., Fan, X., Zhou, Y., Lv, H., Zhang, M., et al. (2026) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 5

SwarmSys: Decentralized Swarm-Inspired Agents for Scalable and Adaptive Reasoning

Li, R., Liu, H., Zhao, L., Li, Z., Li, J., Jiang, J., Xu, L., Zhao, C., Fan, M., & Liang, C. (2025) · arXiv

Multi-Agent Systems and NegotiationDistributed Control Multi-Agent Systems

Cited by 5

GameGPT: Multi-agent Collaborative Framework for Game Development

Chen, D., Zhang, H., Wang, H., Huo, Y., Li, Y., & Wang, J. (2023) · arXiv

Software Engineering ResearchArtificial Intelligence in Games

Cited by 5

Including multi- stroke gesture-based interaction in user interfaces using a model-driven method

González, O. P., España, S., & Pastor, O. (2015) · Proceedings of the XVI International Conference on Human Computer Interaction

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 5

Detecting Rewards Deterioration in Episodic Reinforcement Learning

Greenberg, I., & Mannor, S. (2020) · arXiv

Reinforcement Learning in RoboticsAdvanced Statistical Process Monitoring

Cited by 5

Multibody kinematics optimization for motion reconstruction of the human upper extremity using potential field method

Soodmand, I., Herrmann, S., Kleist, E., Volpert, A., Wackerle, H., Augat, P., Bader, R., Woernle, C., & Kebbach, M. (2025) · Scientific Reports

Human Motion and AnimationSports Dynamics and Biomechanics

Cited by 5

LLM-Boofuzz: Generation-Based Black-Box Fuzzing for Network Protocols via LLMs

Wang, T., Li, Y., Pan, Z., Chen, Q., Li, Z., Zhang, Y., Shen, Y., Hu, M., & Chen, Q. (2025) · Electronics

Software Testing and Debugging TechniquesNetwork Security and Intrusion Detection

Cited by 5

Semi-supervised multimodal representation learning through a global workspace

Devillers, B., Maytié, L., & VanRullen, R. (2025) · IEEE Transactions on Neural Networks and Learning Systems

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 5

VeriRange: A Verifiable Range Query Model on Encrypted Geographic Data for IoT Environment

Ma, W., Peng, Y., Liu, X., & Cui, J. (2024) · IEEE Internet of Things Journal

Cloud Data Security SolutionsCryptography and Data Security

Cited by 5

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding

Sun, Z., Wang, Q., Yu, W., Zang, X., Zheng, K., Xu, J., Zhang, X., Song, Y., & Li, H. (2025) · Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval

Topic ModelingInformation Retrieval and Search Behavior

Cited by 5