Check computer science papers: citations, claims and retractions

Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets

Tran, D., & Kiela, D. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing

Zhang, Y.-K., Zhan, D.-C., & Ye, H.-J. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

mHC: Manifold-Constrained Hyper-Connections

Xie, Z., Wei, Y., Cao, H., Zhao, C., Deng, C., Li, J., Dai, D., Gao, H., Chang, J., Yu, K., et al. (2025) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 0

Learning R with generative AI in a metagenomic data science course

Blanchard, J. L. (2026) · Journal of Microbiology & Biology Education

Teaching and Learning ProgrammingGenetics, Bioinformatics, and Biomedical Research

Cited by 0

Structured Reasoning for Large Language Models

Han, J., Di, Z., Jiang, Z., Liao, Y., Liang, J., Wang, Y., & Xiao, Y. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering

Siyue, Z., Yuxiang, X., Yiming, Z., Xiaobao, W., Tuan, L. A., & Chen, Z. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

The Orchestration of Multi-Agent Systems: Architectures, Protocols, and Enterprise Adoption

Adimulam, A., Gupta, R., & Kumar, S. (2026) · arXiv

Multi-Agent Systems and NegotiationAccess Control and Trust

Cited by 0

CriticEval: Evaluating Large Language Model as Critic

Lan, T., Zhang, W., Xu, C., Huang, H., Lin, D., Chen, K., & Mao, X.-L. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

PixelThink: Towards Efficient Chain-of-Pixel Reasoning

Wang, S., Fang, G., Kong, L., Li, X., Xu, J., Yang, S., Li, Q., Zhu, J., & Wang, X. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0

Grounded Reinforcement Learning for Visual Reasoning

Sarch, G., Saha, S., Khandelwal, N., Jain, A., Tarr, M. J., Kumar, A., & Fragkiadaki, K. (2025) · arXiv

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 0

Evaluating Gemini in an arena for learning

LearnLM Team, Modi, A., Veerubhotla, A. S., Rysbek, A., Huber, A., Anand, A., Bhoopchand, A., Wiltshire, B., Gillick, D., Kasenberg, D., et al. (2025) · arXiv

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 0

Performative Reinforcement Learning

Mandal, D., Triantafyllou, S., & Radanovic, G. (2022) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 0

LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild

Wang, J., Ming, Y., Dulepet, R., Chen, Q., Xu, A., Ke, Z., Sala, F., Albarghouthi, A., Xiong, C., & Joty, S. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

Avoidance Decoding for Diverse Multi-Branch Story Generation

Park, K., Yang, N., & Jung, K. (2025) · arXiv

Topic ModelingArtificial Intelligence in Games

Cited by 0

Towards AI-Assisted Research Writing: Benchmarking LLMs for AI/ML Introduction Generation

Garg, K., Shaik, F., Bandyopadhyay, S., & Caragea, C. (2025) · arXiv

Topic ModelingAcademic Writing and Publishing

Cited by 0

OSWorld-Human: Benchmarking the Efficiency of Computer-Use Agents

Abhyankar, R., Qi, Q., & Zhang, Y. (2025) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 0

PrefixPlace: Provable Prefix Key-Value Placement for Large Language Model Serving under Heterogeneous Compute and Transfer Costs

Wang, Z., & Buyya, R. (2026) · arXiv

Cloud Computing and Resource ManagementParallel Computing and Optimization Techniques

Cited by 0

Synapse: Empowering LLM Agents with Episodic-Semantic Memory via Spreading Activation

Jiang, H., Chen, J., Pan, Y., Chen, L., You, W., Zhou, Y., Zhang, R., Abate, Y., & Liu, T. (2026) · Findings of the Association for Computational Linguistics: ACL 2026

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Batching the Reflective Optimization Loop: Parallel Proposals Make GEPA Faster and Better

Zhang, J., Agrawal, L. A., Tan, S., Lee, D., Erdogan, L. E., Klein, D., Sen, K., Dimakis, A., & Zaharia, M. (2026) · arXiv

Evolutionary Algorithms and ApplicationsNatural Language Processing Techniques

Cited by 0

Process Supervision via Verbal Critique Improves Reasoning in Large Language Models

Chen, H.-Y. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Vulnerability-Aware Spatio-Temporal Learning for Generalizable Deepfake Video Detection

Nguyen, D., Astrid, M., Kacem, A., Ghorbel, E., & Aouada, D. (2025) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 0

Position: Reasoning After Perception Means Reasoning Without Vision

Gao, H., Huang, Z., Tang, J., Xu, L., Li, X., Li, H., Liu, Y., Lin, M., Yang, X., Hu, T., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 0

Task-Dependent Evaluation of LLM Output Homogenization: A Taxonomy-Guided Framework

Jain, S., Lanchantin, J., Nickel, M., Ross, C., Ullrich, K., Wilson, A., & Watson-Daniels, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Does Rank Still Matter? Position Bias When AI Agents Shop on Our Behalf

Wadi, D., & Ma, Y. (2026) · arXiv

Information Retrieval and Search BehaviorDigital Marketing and Social Media

Cited by 0