Check computer science papers: citations, claims and retractions

Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs

Furelos-Blanco, D., Pert, C., Kelbel, F., Spies, A. F., Russo, A., & Dennis, M. (2025) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 0

AblationBench: Evaluating Automated Planning of Ablations in Empirical AI Research

Abramovich, T., & Chechik, G. (2025) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 0

PreAct: Computer-Using Agents that Get Faster on Repeated Tasks

Li, B. (2026) · arXiv

AI-based Problem Solving and PlanningWeb Data Mining and Analysis

Cited by 0

Query Attribute Modeling: Improving Search Relevance with Semantic Search and Meta Data Filtering

Menon, K., Haider, B. A., Arham, M., Mehreen, K., Kadiyala, R. M. R., Shafique, M. A., & Farooq, H. (2025) · 2025 IEEE International Conference on Data Mining Workshops (ICDMW)

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step

Dugan, O., Jiménez-Benetó, D., Loh, C., Chen, Z., Dangovski, R., & Soljacic, M. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 0

Who Governs the Machine? A Machine Identity Governance Taxonomy (MIGT) for AI Systems Operating Across Enterprise and Geopolitical Boundaries

Kurtz, A., & Krawiecka, K. (2026) · arXiv

Information and Cyber SecurityDigitalization, Law, and Regulation

Cited by 0

Enhancing Temporal Understanding in Audio Question Answering for Large Audio Language Models

Sridhar, A. K., Guo, Y., & Visser, E. (2024) · arXiv

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 0

Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery

Bisht, H., Kumar, V., Jablonka, K. M., Mausam, & Krishnan, N. M. A. (2026) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

Words That Make Language Models Perceive

Wang, S. L., Isola, P., & Cheung, B. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 0

Think Anywhere in Code Generation

Jiang, X., Zhang, T., Li, G., Liu, M., Chen, T., Xu, Z., Li, B., Jiao, W., Jin, Z., Li, Y., et al. (2026) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariance

Sanovar, R., Bharadwaj, S., Taneja, H., & Qureshi, M. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Conserve-update-revise to cure generalization and robustness trade-off in adversarial training

Gowda, S., Arani, E., & Zonooz, B. (2024) · Zenodo

Adversarial Robustness in Machine LearningDomain Adaptation and Few-Shot Learning

Cited by 0

Uncertainty, intelligence, and interaction

Horvitz, E. (2002) · Proceedings of the 7th international conference on Intelligent user interfaces - IUI '02

Usability and User Interface DesignIntelligent Tutoring Systems and Adaptive Learning

Cited by 0

OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety

Vijayvargiya, S., Soni, A. B., Zhou, X., Wang, Z. Z., Dziri, N., Neubig, G., & Sap, M. (2025) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 0

Experimental Evidence on the Learning Impact of Generative AI

Contractor, Z., & Reyes, G. (2026) · arXiv

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 0

Reward Hacking Benchmark: Measuring Exploits in LLM Agents with Tool Use

Thaman, K. (2026) · arXiv

Adversarial Robustness in Machine LearningReinforcement Learning in Robotics

Cited by 0

AI teaching innovation behavior among college teachers: a structural equation modeling analysis based on the AI-TPACK framework, teaching self-efficacy, professional identity, and AI literacy

Bai, X., & Hsieh, T.-S. (2026) · Frontiers in Psychology

Artificial Intelligence in EducationTeacher Education and Leadership Studies

Cited by 0

An Empirical Study of Harness Design for Coding Agents

Fan, R.-Z., Zhang, Z., Ma, S., Hu, Y., Wang, S., Song, K., Liu, F., Zamani, H., & Wang, X. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

StoryScope: Investigating idiosyncrasies in AI fiction

Russell, J., Rajendhran, R., Pham, C. M., Iyyer, M., & Wieting, J. (2026) · arXiv

Authorship Attribution and ProfilingArtificial Intelligence in Games

Cited by 0

Knee-Deep in C-RASP: A Transformer Depth Hierarchy

Yang, A. J., Cadilhac, M., & Chiang, D. (2025) · Advances in Neural Information Processing Systems 38

semigroups and automata theoryLogic, programming, and type systems

Cited by 0

The Role of Instructional Guidance in Generative AI-Assisted Learning: Empirical Evidence from Construction Engineering Education

Hou, X., Xiao, B., Liu, H., & Mueller, S. (2026) · arXiv

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 0

Effects of Partial vs. Full Cognitive Offloading with Generative AI on Learning Retention

Alamri, J. M., & Alhalafawy, W. S. (2026) · International Journal of Technology in Education

Artificial Intelligence in EducationVisual and Cognitive Learning Processes

Cited by 0

Applying Uses and Gratifications Theory to TikTok: A systematic literature review of users' motivations

Krstić, J., & Domazet, I. (2025) · Marketing

Media and Digital CommunicationDigital Marketing and Social Media

Cited by 0

PeerQA: A Scientific Question Answering Dataset from Peer Reviews

Baumgärtner, T., Briscoe, T., & Gurevych, I. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0