Check computer science papers: citations, claims and retractions

No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery

Rutherford, A., Beukman, M., Willi, T., Lacerda, B., Hawes, N., & Foerster, J. (2024) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 2

Evolving Deeper LLM Thinking

Lee, K.-H., Fischer, I., Wu, Y.-H., Marwood, D., Baluja, S., Schuurmans, D., & Chen, X. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 2

GraphRouter: A Graph-based Router for LLM Selections

Feng, T., Shen, Y., & You, J. (2024) · arXiv

Topic ModelingRecommender Systems and Techniques

Cited by 2

Enabling BLV Developers with LLM-driven Code Debugging

Saben, C., & Chandrasekar, P. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 2

Mitigating Word Bias in Zero-shot Prompt-based Classifiers

Liusie, A., Manakul, P., & Gales, M. (2023) · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 2

Manipulating Large Language Models to Increase Product Visibility

Kumar, A., & Lakkaraju, H. (2024) · arXiv

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 2

LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness

Zhu, C., Wang, T., Zhang, W., Pang, J., & Liu, X. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2

The Impact of LLM Assistance on User Spam Detection

Morales Flores, A., Jhaveri, J., Sharma, A., Rege, S., & Munyaka, I. (2025) · Proceedings of the 2025 Workshop on Human-Centered AI Privacy and Security

Spam and Phishing DetectionPersonal Information Management and User Behavior

Cited by 2

Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA

Huang, W., Zhou, G., Wang, H., Vougiouklis, P., Lapata, M., & Pan, J. Z. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingInformation Retrieval and Search Behavior

Cited by 2

Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis

Kumar, A., Clune, J., Lehman, J., & Stanley, K. O. (2025) · arXiv

Neural Networks and ApplicationsEvolutionary Algorithms and Applications

Cited by 2

Magic-state distillation with the four-qubit code

Meier, A. M., Eastin, B., & Knill, E. (2012) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 2

Evaluating the Ability of GPT-4o to Generate Verifiable Specifications in VeriFast

Rego, M., Fan, W., Hu, X., Dod, S., Ni, Z., Xie, D., DiVincenzo, J., & Tan, L. (2025) · 2025 IEEE/ACM Second International Conference on AI Foundation Models and Software Engineering (Forge)

Logic, programming, and type systemsSoftware Engineering Research

Cited by 2

TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Zhou, H., Lee, K.-H., Zhan, Z., Chen, Y., Li, Z., Wang, Z., Haddadi, H., & Yilmaz, E. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 2

A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings

Vinitsky, E., Köster, R., Agapiou, J. P., Duéñez-Guzmán, E., Vezhnevets, A. S., & Leibo, J. Z. (2021) · arXiv

Multi-Agent Systems and NegotiationReinforcement Learning in Robotics

Cited by 2

The Principle of Unchanged Optimality in Reinforcement Learning Generalization

Irpan, A., & Song, X. (2019) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 2

FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction

Scirè, A., Ghonim, K., & Navigli, R. (2024) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 2

CodeS: Natural Language to Code Repository via Multi-Layer Sketch

Zan, D., Yu, A., Liu, W., Chen, D., Shen, B., Li, W., Yao, Y., Gong, Y., Chen, X., Guan, B., et al. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 2

From English-Centric to Effective Bilingual: LLMs with Custom Tokenizers for Underrepresented Languages

Kiulian, A., Polishko, A., Khandoga, M., Kostiuk, Y., Gabrielli, G., Gagała, Ł., Zaraket, F., Obaida, Q. A., Garud, H., Mak, W. W. Y., et al. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 2

Self-Improvement in Language Models: The Sharpening Mechanism

Huang, A., Block, A., Foster, D. J., Rohatgi, D., Zhang, C., Simchowitz, M., Ash, J. T., & Krishnamurthy, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Who's Asking? Investigating Bias Through the Lens of Disability-Framed Queries in LLMs

Hari, V., Panda, K., Panda, S., Agarwal, A., & Patel, H. L. (2025) · 2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 2

The influence of ethical principles and policy awareness priming on university students’ judgements about ICT code of conduct compliance

Richards, D., Nazeer Khan, S. B., Formosa, P., & Bankins, S. (2022) · Organizational Cybersecurity Journal: Practice, Process and People

Information and Cyber SecurityEthics in Business and Education

Cited by 2

Deep learning with leagues championship algorithm based intrusion detection on cybersecurity driven industrial IoT systems

Alotaibi, S. S., & Alghamdi, T. A. (2025) · Scientific Reports

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 2

FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning

Hu, L., Jiao, J., Liu, J., Ren, Y., Wen, Z., Zhang, K., Zhang, X., Gao, X., He, T., Hu, F., et al. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 2

A Three-Stage Machine Learning Network Security Solution for Public Entities

Saganowski, S. (2020) · 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 2