Check computer science papers: citations, claims and retractions

Tourism and travel content analysis for market segmentation using toxicity and sentiment classification in communalytic

Singgalen, Y. A. (2024) · Building of Informatics, Technology and Science (BITS)

Sentiment Analysis and Opinion MiningDigital Marketing and Social Media

Cited by 1

Agentic AI Meets Data Engineering: Toward Self-Directed, Interpretable, and Balanced Pipelines

Peddisetti, S. (2025) · The International Journal of Computational Mathematical Ideas

Explainable Artificial Intelligence (XAI)Machine Learning and Data Classification

Cited by 1

ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference

Sun, H., Chang, L.-W., Bao, W., Zheng, S., Zheng, N., Liu, X., Dong, H., Chi, Y., & Chen, B. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 1

Algorithmic Error Mitigation Scheme for Current Quantum Processors

Suchsland, P., Tacchino, F., Fischer, M. H., Neupert, T., Barkoutsos, P. K., & Tavernelli, I. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 1

Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

Zhao, J., Ji, Z., Feng, Y., Qi, P., Niu, S., Tang, B., Xiong, F., & Li, Z. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1

Advances in DevSecOps and the Future of Cybersecurity using Automation

Pranav, M., Madhesh, I., Lenin, J., & Sasikumar, R. (2025) · Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I

Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities

Cited by 1

$τ^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Barres, V., Dong, H., Ray, S., Si, X., & Narasimhan, K. (2025) · arXiv

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 1

Multi-Disciplinary Dataset Discovery from Citation-Verified Literature Contexts

Tan, Z., & Duan, C. (2025) · 2025 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

Research Data Management Practicesscientometrics and bibliometrics research

Cited by 1

Diversity of Thought Elicits Stronger Reasoning Capabilities in Multi-Agent Debate Frameworks

University of Montreal, M. Q. A. I., & Hegazy, M. (2024) · Journal of Robotics and Automation Research

Topic ModelingNatural Language Processing Techniques

Cited by 1

Constrained Adaptive Rejection Sampling

Parys, P., Vaidya, S., Berg-Kirkpatrick, T., & D'Antoni, L. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Machine Learning Approaches for Speech Forensics

Yadav, A. K. S. (2024) · Purdue University Graduate School

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1

Novice Developers' Perspectives on Adopting LLMs for Software Development: A Systematic Literature Review

Ferino, S., Hoda, R., Grundy, J., & Treude, C. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 1

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

Multi-Resolution Real-Time Deep Pose-Space Deformation

Zheng, M., & Barbic, J. (2024) · ACM Transactions on Graphics

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

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

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