Check computer science papers: citations, claims and retractions

SkillNet: Create, Evaluate, and Connect AI Skills

Liang, Y., Zhong, R., Xu, H., Jiang, C., Zhong, Y., Fang, R., Gu, J.-C., Deng, S., Yao, Y., Wang, M., et al. (2026) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 1

From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs

Rezazadeh, A., Li, Z., Wei, W., & Bao, Y. (2024) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 1

Can Large Vision Language Models Read Maps Like a Human?

Xing, S., Sun, Z., Xie, S., Chen, K., Huang, Y., Wang, Y., Li, J., Song, D., & Tu, Z. (2025) · arXiv

Multimodal Machine Learning ApplicationsSpatial Cognition and Navigation

Cited by 1

Increasing The Performance of Cognitively Inspired Data-Efficient Language Models via Implicit Structure Building

Momen, O., Arps, D., & Kallmeyer, L. (2023) · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning

Topic ModelingNatural Language Processing Techniques

Cited by 1

Radiology Report Generation via Self‐Critical Multisource Knowledge Reasoning With Large Language Models

Allaberdiev, S., Chen, X., Mamatov, D., Abdusalomov, A., Ubaydullaev, U., & Khan, A. (2026) · IET Software

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 1

FinHERtip: Embodied Identity and Human-AI Co-Creation in Accessible Musical Performance

Zhang, S., Liu, T., & Fan, M. (2025) · Proceedings of the SIGGRAPH Asia 2025 Art Papers

Music Technology and Sound StudiesArt, Technology, and Culture

Cited by 1

Kimi Linear: An Expressive, Efficient Attention Architecture

Kimi Team, Zhang, Y., Lin, Z., Yao, X., Hu, J., Meng, F., Liu, C., Men, X., Yang, S., Li, Z., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

ToddlerBERTa: Exploiting BabyBERTa for Grammar Learning and Language Understanding

Veysel Çağatan, Ö. (2023) · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning

Topic ModelingNatural Language Processing Techniques

Cited by 1

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models

Lyu, Y., Yan, L., Wang, S., Shi, H., Yin, D., Ren, P., Chen, Z., de Rijke, M., & Ren, Z. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Fréchet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos

Liu, J., Qu, Y., Yan, Q., Zeng, X., Wang, L., & Liao, R. (2024) · arXiv

Image and Video Quality AssessmentGenerative Adversarial Networks and Image Synthesis

Cited by 1

Designing, playing, and performing with a vision-based mouth interface

Lyons, M. J., Haehnel, M., & Tetsutani, N. (2003) · Zenodo

Music Technology and Sound StudiesInteractive and Immersive Displays

Cited by 1

ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents

Sharma, M., Zhang, C. B. C., Bandi, C., Wang, C., Aich, A., Nghiem, H., Rabbani, T., Htet, Y., Jang, B., Basu, S., et al. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1

HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA

Chen, X., Gao, P., Song, J., Chen, X., & Tan, X. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1

Bayesian Calibration of Win Rate Estimation with LLM Evaluators

Gao, Y., Xu, G., Wang, Z., & Cohan, A. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 1

Unified Identity Authentication Scheme Based on UAF Protocol

Zhen, P., Wang, D., & Ji, C. (2019) · 2019 IEEE 19th International Conference on Communication Technology (ICCT)

Advanced Authentication Protocols SecurityUser Authentication and Security Systems

Cited by 1

Rock Segmentation, Matching and 3D Reconstruction Based on Stereo Vision

Gao, H., Li, B., Yu, Y., & Chen, L. (2010) · 2010 Third International Conference on Intelligent Networks and Intelligent Systems

Advanced Vision and ImagingRobotics and Sensor-Based Localization

Cited by 1

Because we have LLMs, we Can and Should Pursue Agentic Interpretability

Kim, B., Hewitt, J., Nanda, N., Fiedel, N., & Tafjord, O. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 1

A Deterministic Control Plane for LLM Coding Agents

Madatha, P. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 1

Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQL

Chu, Z., Wang, Z., & Qin, Q. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

World Simulation with Video Foundation Models for Physical AI

NVIDIA, :, Ali, A., Bai, J., Bala, M., Balaji, Y., Blakeman, A., Cai, T., Cao, J., Cao, T., et al. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1

Meta Context Engineering via Agentic Skill Evolution

Ye, H., He, X., Arak, V., Dong, H., & Song, G. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1

Building conversational artifacts to enable digital assistant for apis and rpas

Bandlamudi, J., Mukherjee, K., Agarwal, P., Chaudhuri, R., Pimplikar, R., Dechu, S., Straley, A., Ponniah, A., & Sindhgatta, R. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Speech and dialogue systemsAI in Service Interactions

Cited by 1

Symbol tuning improves in-context learning in language models

Wei, J., Hou, L., Lampinen, A., Chen, X., Huang, D., Tay, Y., Chen, X., Lu, Y., Zhou, D., Ma, T., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1

Design and Implementation of Gamified Augmented Reality Learning System to Enhance Biodiversity Education

Yang, C.-Y., & Chao, W.-H. (2026) · 8th International Conference on Knowledge Innovation and Invention

Augmented Reality ApplicationsMultimedia Learning Systems

Cited by 1