Check computer science papers: citations, claims and retractions

GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-Based VLM Agent Training

Wei, T., Yang, Y., Xing, J., Shi, Y., Lu, Z., & Ye, D. (2025) · 2025 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 1

Using Digital Twins and Intelligent Cognitive Agencies to Build Platforms for Automated CxO Future of Work

Amenyo, J.-T. (2018) · arXiv

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 1

Enrich-Retrieve-Rank: Scaling Capability Discovery Beyond In-Context Routing

Sorathiya, N., Zhang, D., & Akhbari, B. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 1

Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses

Lin, J., Liu, S., Pan, C., Lin, L., Dou, S., Xi, Z., Huang, X., Yan, H., Han, Z., Gui, T., et al. (2026) · arXiv

Software Engineering ResearchEvolutionary Algorithms and Applications

Cited by 1

Evaluating Large Language Models on Controlled Generation Tasks

Sun, J., Tian, Y., Zhou, W., Xu, N., Hu, Q., Gupta, R., Wieting, J. F., Peng, N., & Ma, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Verbalizable Representations Form a Global Workspace in Language Models

Gurnee, W., Sofroniew, N., Pearce, A., Piotrowski, M., Kauvar, I., Chen, R., Soligo, A., Bogdan, P., Ong, E., Wang, R., et al. (2026) · arXiv

Explainable Artificial Intelligence (XAI)Philosophy and Theoretical Science

Cited by 1

FeedbackEval: A Benchmark for Evaluating Large Language Models in Feedback-Driven Code Repair Tasks

Dai, D., Liu, M., Li, A., Cao, J., Wang, Y., Wang, C., Peng, X., & Zheng, Z. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 1

Implicit Chain of Thought Reasoning via Knowledge Distillation

Deng, Y., Prasad, K., Fernandez, R., Smolensky, P., Chaudhary, V., & Shieber, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

SafeToolBench: pioneering a prospective benchmark to evaluating tool utilization safety in LLMs

Xia, H., Wang, H., Liu, Z., Yu, Q., Guo, Y., & Wang, H. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Adversarial Robustness in Machine LearningNatural Language Processing Techniques

Cited by 1

WorldVLA: Towards Autoregressive Action World Model

Cen, J., Yu, C., Yuan, H., Jiang, Y., Huang, S., Guo, J., Li, X., Song, Y., Luo, H., Wang, F., et al. (2025) · arXiv

Reinforcement Learning in RoboticsMultimodal Machine Learning Applications

Cited by 1

Reason first, then respond: Modular Generation for Knowledge-infused Dialogue

Adolphs, L., Shuster, K., Urbanek, J., Szlam, A., & Weston, J. (2021) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 1

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering

Zhou, C., Chai, H., Chen, W., Guo, Z., Shan, R., Song, Y., Xu, T., Yang, Y., Yu, A., Zhang, W., et al. (2026) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 1

BigVectorBench: Heterogeneous Data Embedding and Compound Queries are Essential in Evaluating Vector Databases

Kang, G., Ge, Z., Hu, J., Zhang, X., Wang, L., & Zhan, J. (2025) · Proceedings of the VLDB Endowment

Advanced Database Systems and QueriesData Management and Algorithms

Cited by 1

Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models

Rannen-Triki, A., Bornschein, J., Pascanu, R., Hutter, M., György, A., Galashov, A., Teh, Y. W., & Titsias, M. K. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 1

PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering

Du, Y., Wang, H., Zhao, Z., Liang, B., Wang, B., Zhong, W., Wang, Z., & Wong, K.-F. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1

Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge

Plecko, D., Okanovic, P., Havaldar, S., Hoefler, T., & Bareinboim, E. (2025) · arXiv

Topic ModelingBayesian Modeling and Causal Inference

Cited by 1

CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases

Liu, X., Lan, B., Hu, Z., Liu, Y., Zhang, Z., Wang, F., Shieh, M., & Zhou, W. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 1

A Step Closer to Comprehensive Answers: Constrained Multi-Stage Question Decomposition with Large Language Models

Cao, H., An, Z., Feng, J., Xu, K., Chen, L., & Zhao, D. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 1

On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models

Tanneru, S. H., Ley, D., Agarwal, C., & Lakkaraju, H. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 1

Finding 709 Defects in 258 Projects: An Experience Report on Applying CodeQL to Open-Source Embedded Software (Experience Paper) -- Extended Report

Shen, M., Pillai, A. A., Yuan, B. A., Davis, J. C., & Machiry, A. (2023) · arXiv

Software Testing and Debugging TechniquesWeb Application Security Vulnerabilities

Cited by 1

Stepping Outside the Ivory Tower: How Can We Implement Multimodal Learning Analytics in Ecological Settings, and Turn Complex Temporal Data Sources into Actionable Insights?

Schneider, B., Davis, R., Martinez-Maldonado, R., Biswas, G., Worsley, M., & Rummel, N. (2024) · Proceedings of the International Conference on Computer-supported for Collaborative Learning

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 1

Middleware Patterns for Cloud Platforms

S.D. Farrow, G. (2021) · Middleware Architecture

Service-Oriented Architecture and Web ServicesAdvanced Software Engineering Methodologies

Cited by 1

A systematic review and meta-analysis of fuzzy logic for students’ performance assessment

Tuan, T. A., Tho, N. D., Nghia, N. H., & Loan, D. T. T. (2025) · International Journal of Engineering Trends and Technology

Educational Technology and AssessmentEdcuational Technology Systems

Cited by 1

KwaiAgents: Generalized Information-seeking Agent System with Large Language Models

Pan, H., Zhai, Z., Yuan, H., Lv, Y., Fu, R., Liu, M., Wang, Z., & Qin, B. (2023) · arXiv

Information Retrieval and Search BehaviorAI-based Problem Solving and Planning

Cited by 1