Check computer science papers: citations, claims and retractions

SmoothAgent: Efficient Long-Horizon LLM-Based Agent Serving with Lookahead Context Engineering

Pan, Z., Wang, Q., Hu, Z., Chen, C., Guan, Y., Zhou, Y., Swanson, S., & Ding, Y. (2026) · arXiv

Natural Language Processing TechniquesParallel Computing and Optimization Techniques

Cited by 0

CacheWise: Understanding Workloads and Optimizing KVCache Management for Efficiently Serving LLM Coding Agents

Tiwari, S., Chugh, T., Rickert, N., Peter, S., Mahajan, R., & Shen, H. (2026) · arXiv

Parallel Computing and Optimization TechniquesSoftware System Performance and Reliability

Cited by 0

AutoMind: Adaptive Knowledgeable Agent for Automated Data Science

Luo, Y., Ou, Y., Zheng, J., Wei, L., Yu, Z., Qiao, S., Zhang, J., Zheng, D., Mao, Y., Gao, Y., et al. (2025) · arXiv

Artificial Intelligence ApplicationsSoftware Engineering Research

Cited by 0

A benchmark dataset with human validation for AI-assisted technical answer evaluation

Sheikh, J. K., & Soni, H. K. (2026) · Discover Education

Educational Technology and AssessmentStudent Assessment and Feedback

Cited by 0

Free Energy Landscapes and Residue Network Analysis for Six SARS-CoV-2 Targets in Complex with Plausible Phytochemical Inhibitors from Withania Somnifera: 1 µS Molecular Dynamics Simulations

Parida, P. K., Paul, D., & Chakravorty, D. (2021) · ChemRxiv

Computational Drug Discovery MethodsSARS-CoV-2 and COVID-19 Research

Cited by 0

Leveraging Token Economies for Public Goods

Shilina, M. (2026) · The Impact of Blockchain in Token Economies

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 0

Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models

Nguyen, T., Li, Y., Golovneva, O., Zettlemoyer, L., Oh, S., Schmidt, L., & Li, X. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Multi-scale Facial Expression Recognition Based on Multi-Direction Local Binary Pattern

Xu, S., Xiao, S., Wang, S., Zhang, W., Zeng, F., Yu, Y., & Jiang, S. (2025) · 2025 5th International Conference on Communication Technology and Information Technology (ICCTIT)

Face and Expression RecognitionEmotion and Mood Recognition

Cited by 0

Tokenization is Sensitive to Language Variation

Wegmann, A., Nguyen, D., & Jurgens, D. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Domain Generalization for 6D Pose Estimation Through NeRF-based Image Synthesis

Legrand, A., Detry, R., & De Vleeschouwer, C. (2024) · arXiv

Domain Adaptation and Few-Shot LearningSpace Satellite Systems and Control

Cited by 0

LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM Agents

Jeon, H., Ha, H., & Kim, J.-J. (2026) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

The Development and Maintenance of Thinking Processes and Learning Abilities in the Era of Artificial Intelligence

Krsmanovic, G., Deek, R. A., & Deek, F. P. (2025) · Computer

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 0

Document Overlap Is Not Evidence Continuity: Measuring Retrieval Jitter in Citation-Based RAG Evaluation

Ponnuraj, P. (2026) · Proceedings of the Workshop on Evaluating Evaluations (EvalEval)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

UBCL: A Reinforcement Learning Framework for Controllable and Diverse Player Behaviors

Cilan, A., & Ozgovde, A. (2026) · IEEE Transactions on Games

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 0

Inference economics of language models

Erdil, E. (2025) · arXiv

Parallel Computing and Optimization TechniquesNatural Language Processing Techniques

Cited by 0

IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce

Ding, W., Wang, W., Kwok, S. H. D., Liu, M., Fang, T., Bai, J., Liu, X., Yu, C., Li, Z., Luo, C., et al. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Compressing Sequences in the Latent Embedding Space: K-Token Merging for Large Language Models

Xu, Z., Harvill, J., Fan, Z., Sun, Y., Ding, H., & Wang, H. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments

Park, J., Jones, D., Morse, M. J., Goel, R., Lee, M., & Lott, C. (2025) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

MDM-DTA: Message Passing Neural Network with molecular descriptors and Mixture of Experts for drug–target affinity prediction

Dai, Y., Tan, X., Wang, H., Ma, G., Xiong, Y., & Qiu, X. (2026) · Computer Methods and Programs in Biomedicine

Computational Drug Discovery MethodsMachine Learning in Bioinformatics

Cited by 0

MultiRankDTA: A Hybrid Ranking Framework for Robust and Generalizable Drug-Target Affinity Prediction

Huang, Q., Wu, Y., Wang, L., Lin, J., Li, Y., Zeng, M., & Li, M. (2026) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsMachine Learning in Bioinformatics

Cited by 0

LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search

Tanveer, T. (2026) · arXiv

Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms Research

Cited by 0

Continual Learning via Sparse Memory Finetuning

Lin, J., Zettlemoyer, L., Ghosh, G., Yih, W.-T., Markosyan, A., Berges, V.-P., & Oğuz, B. (2025) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0

IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR

Liang, Z., Guo, X., Xu, W., Ibrahim, Y., Voets, N., Pretorius, P. M., Noble, J. A., & Kamnitsas, K. (2025) · arXiv

Medical Image Segmentation TechniquesAnomaly Detection Techniques and Applications

Cited by 0

Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics

Godbole, A., & Jia, R. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0