Check computer science papers: citations, claims and retractions

MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark

Wang, D., Li, J., Wu, J., Yang, D., Chen, X., Zhang, T., & Meng, H. (2025) · arXiv

Speech Recognition and SynthesisSpeech and dialogue systems

Cited by 1

ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering

Imajuku, Y., Horie, K., Iwata, Y., Aoki, K., Takahashi, N., & Akiba, T. (2025) · arXiv

AI-based Problem Solving and PlanningMetaheuristic Optimization Algorithms Research

Cited by 1

Comparing Performance of Different Linguistically-Backed Word Embeddings for Cyberbullying Detection

Eronen, J., Ptaszynski, M., & Masui, F. (2022) · arXiv

Hate Speech and Cyberbullying DetectionTopic Modeling

Cited by 1

ScenicNL: Generating Probabilistic Scenario Programs from Natural Language

Elmaaroufi, K., Shanker, D., Cismaru, A., Vazquez-Chanlatte, M., Sangiovanni-Vincentelli, A., Zaharia, M., & Seshia, S. A. (2024) · arXiv

Natural Language Processing TechniquesSoftware Engineering Research

Cited by 1

ViDoRe Benchmark V2: Raising the Bar for Visual Retrieval

Macé, Q., Loison, A., & Faysse, M. (2025) · arXiv

Information Retrieval and Search BehaviorMultimodal Machine Learning Applications

Cited by 1

Explainability in AI: Comparing Human-Like and System-Like Trust Repair Strategies

Konopka, B., & Wiesche, M. (2026) · Information Systems Frontiers

Explainable Artificial Intelligence (XAI)AI in Service Interactions

Cited by 1

Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Matthews, M., Beukman, M., Lu, C., & Foerster, J. (2024) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 1

Critique-out-Loud Reward Models

Ankner, Z., Paul, M., Cui, B., Chang, J. D., & Ammanabrolu, P. (2024) · arXiv

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 1

On the Non-Universality of Deep Learning: Quantifying the Cost of Symmetry

Abbe, E., & Boix-Adsera, E. (2022) · Advances in Neural Information Processing Systems 35

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 1

Criticmate: Stagewise Human–AI Co-Critique in Single-Screen UI Evaluation

Ko, J., Choi, J., Morales, C., Kim, D., & Ko, M. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 1

What Is the Right Price for Non-Fungible Tokens (NFTs)? A Systematic Review of the Current Literature

Flamini, M., & Naldi, M. (2025) · FinTech

Blockchain Technology Applications and SecurityArt History and Market Analysis

Cited by 1

Self-Challenging Language Model Agents

Zhou, Y., Levine, S., Weston, J., Li, X., & Sukhbaatar, S. (2025) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 1

CP-Agent: Agentic Constraint Programming

Szeider, S. (2025) · arXiv

Constraint Satisfaction and OptimizationAI-based Problem Solving and Planning

Cited by 1

LightMem: Lightweight and Efficient Memory-Augmented Generation

Fang, J., Deng, X., Xu, H., Jiang, Z., Tang, Y., Xu, Z., Deng, S., Yao, Y., Wang, M., Qiao, S., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark

Ciobanu, I.-P., Hiji, A.-I., Ristea, N.-C., Irofti, P., Rusu, C., & Ionescu, R. T. (2025) · arXiv

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 1

Token Reduction Is Not Cost Reduction

Weinberger, S., & Hozez, A. (2026) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 1

Perceptions of the Fairness Impacts of Multiplicity in Machine Learning

Meyer, A. P., Kim, Y.-S., D'Antoni, L., & Albarghouthi, A. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 1

Large Language Models Can Self-Improve At Web Agent Tasks

Patel, A., Hofmarcher, M., Leoveanu-Condrei, C., Dinu, M.-C., Callison-Burch, C., & Hochreiter, S. (2024) · arXiv

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 1

When Does Memory Help? A Cost-Aware Evaluation of Long-Term Memory in Tool-Using LLM Agents

Mishra, S., & Mishra, S. (2026) · arXiv

AI-based Problem Solving and PlanningTopic Modeling

Cited by 1

OpenReviewer: A Specialized Large Language Model for Generating Critical Scientific Paper Reviews

Idahl, M., & Ahmadi, Z. (2024) · arXiv

Topic ModelingAcademic Writing and Publishing

Cited by 1

ElasticTok: Adaptive Tokenization for Image and Video

Yan, W., Mnih, V., Faust, A., Zaharia, M., Abbeel, P., & Liu, H. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 1

Hypernetworks That Evolve Themselves

Pedersen, J. W., Plantec, E., Nisioti, E., Barylli, M., Montero, M., Korte, K., & Risi, S. (2025) · ALIFE 2025: Ciphers of Life: Proceedings of the Artificial Life Conference 2025

Evolutionary Algorithms and ApplicationsEvolution and Genetic Dynamics

Cited by 1

Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications

Asthana, S., Zhang, B., Mahindru, R., DeLuca, C., Gentile, A. L., & Gopisetty, S. (2025) · arXiv

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 1

A Red Teaming Roadmap Towards System-Level Safety

Wang, Z., Knight, C. Q., Kritz, J., Primack, W. E., & Michael, J. (2025) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 1