Check computer science papers: citations, claims and retractions

Learned Importance Scoring for Adaptive Memory Compaction in LLM-Based Agent Systems

Sun, Y. (2026) · SSRN

Speech and dialogue systemsTopic Modeling

Cited by 0

A Spectral Condition for Feature Learning

Yang, G., Simon, J. B., & Bernstein, J. (2023) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 0

CIMemories: A Compositional Benchmark for Contextual Integrity of Persistent Memory in LLMs

Mireshghallah, N., Mangaokar, N., Kokhlikyan, N., Zharmagambetov, A., Zaheer, M., Mahloujifar, S., & Chaudhuri, K. (2025) · arXiv

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

Cited by 0

AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction

Wang, S., Tan, Z., Chen, Z., Zhou, S., Chen, T., & Li, J. (2025) · arXiv

Multi-Agent Systems and NegotiationDistributed Control Multi-Agent Systems

Cited by 0

Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors

Li, Z., Li, Z., Lin, J., Shen, T., Xiao, J., Guo, Y., Lin, T., & Wu, C. (2024) · arXiv

Domain Adaptation and Few-Shot LearningPrivacy-Preserving Technologies in Data

Cited by 0

AutoHarness: improving LLM agents by automatically synthesizing a code harness

Lou, X., Lázaro-Gredilla, M., Dedieu, A., Wendelken, C., Lehrach, W., & Murphy, K. P. (2026) · arXiv

Artificial Intelligence in GamesArtificial Intelligence Applications

Cited by 0

Reliable Self-Improvement Training by Verifying Reasoning, Not Just Answers

Zhang, X. (2026) · arXiv

Topic ModelingMachine Learning and Algorithms

Cited by 0

Memory Caching: RNNs with Growing Memory

Behrouz, A., Li, Z., Deng, Y., Zhong, P., Razaviyayn, M., & Mirrokni, V. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

DMF: A Deterministic Memory Framework for Conversational AI Agents

Stabile, M., & Zimuel, E. (2026) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

Beyond Perplexity: A Behavioral Evaluation Framework for Deployment-Memory Claims in LLM Test-Time Training

Song, X., Chen, Z., Kong, L., Xie, S., Dong, X., Chen, G., & Zhang, K. (2026) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0

Seeing Before Reasoning: Decoupling Perception and Reasoning for Shortcut-Resilient Multimodal On-Policy Self-Distillation

Wang, S., Liu, X., Liu, L., & Han, Z. (2026) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 0

BF2: A Bloom-Filtered Brute-Force Framework for Multi-Target Password Recovery

Aslan, C., Pünter, W., & Dörr, C. (2026) · IACR Communications in Cryptology

Cryptographic Implementations and SecurityUser Authentication and Security Systems

Cited by 0

From Assistance to Substitution: Generative AI and Undergraduate Research Skills

Rami Al Jundi, M., Abdulkareem Alali, B., Alothman, R., Almansour, A., & AL Zyadi, E. (2026) · Research Journal of Maaref University of Applied Sciences

Artificial Intelligence in EducationLibrary Science and Information Literacy

Cited by 0

Hallucination Detection-Guided Preference Optimization for Clinical Summarization

Seethakantha, S. K., Thai, D. N., Gudi, V. P., Tiwari, S., Matar, R., Mitra, A., Zhao, W., McCallum, A., & Salloum, W. (2026) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Gunjal, A., Wang, A., Lau, E., Nath, V., He, Y., Liu, B., & Hendryx, S. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 0

From Books to Bots: Scaffolding Ethical and Critical Use of Generative Artificial Intelligence

Oddone, K., Garrison, K., & Gagen-Spriggs, K. (2023) · IASL Annual Conference Proceedings

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 0

Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference

Shen, X., Li, Z., Yang, Z., Zhang, S., Zhang, Y., Li, D., Wang, C., Lu, Q., & Tang, Y. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 0

Scale-VAE: Preventing Posterior Collapse in Variational Autoencoder

Song, T., Sun, J., Liu, X., & Peng, W. (2024) · Proceedings of the Language Resources and Evaluation Conference

Topic ModelingGaussian Processes and Bayesian Inference

Cited by 0

AgentGit: A Version Control Framework for Reliable and Scalable LLM-Powered Multi-Agent Systems

Li, Y., Ping, S., Chen, X., Qi, X., Wang, Z., Luo, Y., & Zhang, X. (2025) · arXiv

Multi-Agent Systems and NegotiationArtificial Intelligence Applications

Cited by 0

PostTrainBench: Can LLM Agents Automate LLM Post-Training?

Rank, B., Bhatnagar, H., Prabhu, A., Eisenberg, S., Nguyen, K., Bethge, M., & Andriushchenko, M. (2026) · arXiv

Artificial Intelligence ApplicationsTopic Modeling

Cited by 0

MoCha: End-to-End Video Character Replacement without Structural Guidance

Xu, Z., Ma, J., Wang, Z., Peng, Z., Liang, J., & Li, J. (2026) · arXiv

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 0

Decocted Experience Improves Test-Time Inference in LLM Agents

Shen, M., Zha, K., He, Z., Hong, Z.-W., Ouyang, S., Ryu, J. J., Sattigeri, P., Diggavi, S., & Wornell, G. (2026) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 0

Numerical Fragility in Transformers: A Layer-wise Theory for Risk Estimation and Selective Stabilization

Baek, J. (2025) · arXiv

Numerical Methods and AlgorithmsAdvanced Neural Network Applications

Cited by 0

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation

Belikova, J., Parchiev, R., Egorov, E., Davydenko, G., Gusev, G., Savchenko, A., & Makarenko, M. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 0