Check computer science papers: citations, claims and retractions

The Interspeech 2026 Audio Encoder Capability Challenge for Large Audio Language Models

Dinkel, H., Zhou, J., Wang, G., Niu, Y., Zhang, J., Hao, Y., Liu, Y., Li, K., Wang, W., Wu, Z., et al. (2026) · arXiv

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 0

BEARCUBS: A benchmark for computer-using web agents

Song, Y., Thai, K., Pham, C. M., Chang, Y., Nadaf, M., & Iyyer, M. (2025) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 0

An edge data access control scheme suitable for wireless smart grid environment

Zhang, B., Wang, C., Chen, Y., Fu, J., & Zhou, Y. (2021) · 2021 8th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2021 7th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom)

Advanced Authentication Protocols SecuritySmart Grid Security and Resilience

Cited by 0

Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pre-trained Models

Purason, T., Chizhov, P., Yamshchikov, I. P., & Fishel, M. (2025) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models

Wang, R., Wang, H., Xue, B., Li, Y., Pang, J., Liu, S., Chen, Y., Qiu, J., Wong, D. F., Chen, G., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution

Maheswaran, M., Lakhani, L., Zhou, Z., Yang, S., Wang, J., Hooper, C., Hu, Y., Tiwari, R., Wang, J., Singh, H., et al. (2026) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 0

Harness Engineering for LLM Agents: A Survey of Harness Component Taxonomy, Evaluation, and Model–Harness Coevolution

Li, J., Wu, Y., & Chang, Y. (2026) · Preprints.org

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 0

Assessing the Efficacy of Hybrid Quantum-Classical Computing for Combinatorial Optimization: A Comparative Analysis of QAOA and Classical Solvers

Khan, A. (2026) · OSF Preprint

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 0

When AI Agents Teach Each Other: Discourse Patterns Resembling Peer Learning in the Moltbook Community

Chen, E., Guan, C., Elshafiey, A., Zhao, Z., Zekeri, J., Shaibu, A. E., & Prince, E. O. (2026) · arXiv

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 0

Multi-agent Architecture Search via Agentic Supernet

Zhang, G., Niu, L., Fang, J., Wang, K., Bai, L., & Wang, X. (2025) · arXiv

Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning

Cited by 0

Delay-Robust Primal-Dual Dynamics for Distributed Optimization

Şen, G. D., Machado, J. E., Öke Günel, G., & Schiffer, J. (2026) · IEEE Control Systems Letters

Distributed Control Multi-Agent SystemsStability and Control of Uncertain Systems

Cited by 0

How Memory in Optimization Algorithms Implicitly Modifies the Loss

Cattaneo, M., & Shigida, B. (2025) · Advances in Neural Information Processing Systems 38

Stochastic Gradient Optimization TechniquesAdvanced Optimization Algorithms Research

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Large Language Models are Shannon Lossy Compressors Not Solomonoff Induction Estimators: Self-improvement and Singularity Are Not Near Without Symbolic Model Synthesis

Zenil, H., Uthamacumaran, A., & Ozelim, L. (2026) · arXiv

Computability, Logic, AI Algorithmssemigroups and automata theory

Cited by 0

Exploring Optimal Prefetching Sizes in RaLMSpec to Enhance Retrieval-Augmented Generation Efficiency

Liu, S. (2025) · Highlights in Science, Engineering and Technology

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Zheng, Z., Yang, M., Hong, J., Zhao, C., Xu, G., Yang, L., Shen, C., & Yu, X. (2025) · arXiv

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 0

HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems

Xia, Y., Wang, T., Zhang, S., Weng, Z., Cao, B., & Liew, S. C. (2025) · arXiv

Multi-Agent Systems and NegotiationGame Theory and Voting Systems

Cited by 0

VinciCoder: Unifying Multimodal Code Generation via Coarse-to-fine Visual Reinforcement Learning

Zhao, X., Jiang, D., Zeng, Z., Chen, L., Yang, H., Qiu, H., Huang, J., Zhong, Y., Zheng, L., Cao, Y., et al. (2025) · arXiv

Software Engineering ResearchMultimodal Machine Learning Applications

Cited by 0

Visual-ERM: Reward Modeling for Visual Equivalence

Liu, Z., Ding, S., Fang, X., Dai, X., Yang, P., Liang, J., Wang, J., Chen, K., Lin, D., & Zang, Y. (2026) · arXiv

Multimodal Machine Learning ApplicationsSoftware Engineering Research

Cited by 0

Expected Attention: KV Cache Compression by Estimating Attention from Future Queries Distribution

Devoto, A., Jeblick, M., & Jégou, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Balancing efficiency and ethics in public administration: The role of artificial intelligence in administrative law of the Middle East

Amoush, M. A. M. (2025) · Multidisciplinary Science Journal

Organizational and Employee PerformanceE-Government and Public Services

Cited by 0

Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music

Ghosh, S., Goel, A., Jayakumar, K., Koroshinadze, L., Anand, N., Kong, Z., Gururani, S., Lee, S.-G., Kim, J., Aljafari, A., et al. (2026) · arXiv

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 0

not aligned" is not "malicious": Being careful about hallucinations of large language models' jailbreak

Mei, L., Liu, S., Wang, Y., Bi, B., Mao, J., & Cheng, X. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0

Compression Method Matters: Benchmark-Dependent Output Dynamics in LLM Prompt Compression

Johnson, W. (2026) · arXiv

Parallel Computing and Optimization TechniquesSecurity and Verification in Computing

Cited by 0

PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue

Vorontsov, E., Shaikovski, G., Casson, A., Viret, J., Zimmermann, E., Tenenholtz, N., Wang, Y. K., Bernhard, J. H., Godrich, R. A., Retamero, J. A., et al. (2025) · arXiv

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 0