Check computer science papers: citations, claims and retractions

Rubric-Guided Self-Distillation: Post-Training Without Rubric Verifiers

Rezaei, M., Mahmoud, A., Wang, Z., Tyagi, U., Gosai, A., Dumitru, R.-G., Sabharwal, A., Liu, B., & He, Y. (2026) · arXiv

Topic ModelingReinforcement Learning in Robotics

Cited by 0

Vision language models are blind: Failing to translate detailed visual features into words

Rahmanzadehgervi, P., Bolton, L., Taesiri, M. R., & Nguyen, A. T. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0

HCAST: Human-Calibrated Autonomy Software Tasks

Rein, D., Becker, J., Deng, A., Nix, S., Canal, C., O'Connel, D., Arnott, P., Bloom, R., Broadley, T., Garcia, K., et al. (2025) · arXiv

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 0

Ai-Driven Market Analysis and Business Intelligence

Kumar, P., & Gupta, V. (2024) · International Journal of Research in Management

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

Cited by 0

Efficient Non-Parametric Optimizer Search for Diverse Tasks

Wang, R., Xiong, Y., Cheng, M., & Hsieh, C.-J. (2022) · arXiv

Metaheuristic Optimization Algorithms ResearchAdvanced Multi-Objective Optimization Algorithms

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Five safes task execution service: a standards-based architecture and reference implementation for secure federated analytics across trusted research environments

Beck, T., Lockhart-Jones, H., Panagi, V., Biddle, J., Chan, M., Couldridge, J., Eva, J., Figueredo, G., Gaungoo, A., Hong, J., et al. (2026) · Journal of the American Medical Informatics Association

Privacy-Preserving Technologies in DataScientific Computing and Data Management

Cited by 0

MetabolEx: Platform for Small-Molecule Metabolites Generation and Metabolic Pathway Prediction

Lunghini, F., Agazzi, G., Tazzari, V., Fava, A., Vittorio, S., Macorano, A., Vistoli, G., & Beccari, A. R. (2026) · ACS Measurement Science Au

Computational Drug Discovery MethodsPharmacogenetics and Drug Metabolism

Cited by 0

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models

Tsui, K. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering

Chu, Z., Fan, H., Chen, J., Wang, Q., Yang, M., Liang, J., Wang, Z., Li, H., Tang, G., Liu, M., et al. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

Incremental Averaging Method to Improve Graph-Based Time-Difference-of-Arrival Estimation

Brümann, K., Yamaoka, K., Ono, N., & Doclo, S. (2025) · arXiv

Speech and Audio ProcessingDirection-of-Arrival Estimation Techniques

Cited by 0

Forgetting to Learn Logic Programs

Cropper, A. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Logic, Reasoning, and KnowledgeAI-based Problem Solving and Planning

Cited by 0

Certification from Examples is Hard for Circuits and Transformers under Minimal Overparametrization

de Luca, A. B., & Fountoulakis, K. (2026) · arXiv

Complexity and Algorithms in GraphsNeural Networks and Applications

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Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models

Shaib, C., Suriyakumar, V. M., Sagun, L., Wallace, B. C., & Ghassemi, M. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

AI "News" Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian

Puccetti, G., Rogers, A., Alzetta, C., Dell'Orletta, F., & Esuli, A. (2024) · arXiv

Authorship Attribution and ProfilingMisinformation and Its Impacts

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N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics

Mousavi, S., Gutiérrez, R. L., Rengarajan, D., Gundecha, V., Babu, A. R., Naug, A., Guillen, A., & Sarkar, S. (2023) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 0

Refining Minimax Regret for Unsupervised Environment Design

Beukman, M., Coward, S., Matthews, M., Fellows, M., Jiang, M., Dennis, M., & Foerster, J. (2024) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 0

Shifting Innovation to Users via Toolkits

von Hippel, E., & Katz, R. (2002) · Management Science

Open Source Software InnovationsService and Product Innovation

Cited by 0

Forgetful but Faithful: A Cognitive Memory Architecture and Benchmark for Privacy-Aware Generative Agents

Alqithami, S. (2025) · arXiv

AI-based Problem Solving and PlanningSpeech and dialogue systems

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CAPTURE: Disentangling Preference Drift from Memory Poisoning in Personalized LLM Agents

Hossain, S. M. A., Shayoni, R. K., & Morol, M. K. (2026) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 0

SpotIt+: Verification-based Text-to-SQL Evaluation with Database Constraints

Tremante, A., He, Y., Klopfenstein, R., Wang, Y., Narodytska, N., & Wu, H. (2026) · arXiv

Software Testing and Debugging TechniquesNatural Language Processing Techniques

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Retrieval-Conditioned Topology Selection with Provable Budget Conservation for Multi-Agent Code Generation

Talluri, A., Anne, P., Pendiyala, B. C., & Chilukuri, R. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

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NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds

Goel, S., Wei, Y., Lymperopoulos, P., Churá, K., Scheutz, M., & Sinapov, J. (2024) · International Joint Conference on Autonomous Agents and Multiagent Systems

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering

Ginting, M. F., Kim, D.-K., Meng, X., Reinke, A., Krishna, B. J., Kayhani, N., Peltzer, O., Fan, D. D., Shaban, A., Kim, S.-K., et al. (2025) · arXiv

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 0

LLMJudge: LLMs for Relevance Judgments

Rahmani, H. A., Yilmaz, E., Craswell, N., Mitra, B., Thomas, P., Clarke, C. L. A., Aliannejadi, M., Siro, C., & Faggioli, G. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0