Check computer science papers: citations, claims and retractions

The Tug-of-War Between Deepfake Generation and Detection

Lee, H., Lee, C., Farhat, K., Qiu, L., Geluso, S., Kim, A., & Etzioni, O. (2024) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 0

Do Large Language Models Latently Perform Multi-Hop Reasoning?

Yang, S., Gribovskaya, E., Kassner, N., Geva, M., & Riedel, S. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-Augmented Validation

Choi, Y. M., Guo, X., Fung, Y. R., & Wang, Q. (2025) · arXiv

Topic ModelingAcademic integrity and plagiarism

Cited by 0

Towards LifeSpan Cognitive Systems

Wang, Y., Han, C., Wu, T., He, X., Zhou, W., Sadeq, N., Chen, X., He, Z., Wang, W., Haffari, G., et al. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0

Power Distribution Bridges Sampling, Self-Reward RL, and Self-Distillation

Tomihari, A., & Sato, I. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharing

Weng, Z., Antoniades, A., Nathani, D., Zhang, Z., Pu, X., & Wang, X. E. (2026) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 0

EvilGenie: A Reward Hacking Benchmark

Gabor, J., Lynch, J., & Rosenfeld, J. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 0

Joint Audio and Speech Understanding

Gong, Y., Liu, A. H., Luo, H., Karlinsky, L., & Glass, J. (2023) · arXiv

Music and Audio Processing

Cited by 0

Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

Chen, T., Wang, Z., Li, L., Li, D., Li, Z., Chang, X., Bian, P., Liang, G., Wang, Q., & Xie, T. (2025) · Schloss Dagstuhl – Leibniz-Zentrum für Informatik

Software Engineering ResearchWeb Application Security Vulnerabilities

Cited by 0

Assessing the Impact and Underlying Pathways of Sequenced AI feedback on Student Learning

Cao, J., Zhao, C. Q., Schunn, C., McLaughlin, E. A., Lin, J., & Koedinger, K. R. (2026) · arXiv

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 0

Adapting AlphaEvolve to Optimize Fully Homomorphic Encryption on TPUs

Gorantala, S., Tong, J., Ali, A., Li, B., Katz, J., Kun, J., Steinke, T., Thakurta, A., Walker, J., & Yazdanbakhsh, A. (2026) · arXiv

Cryptography and Data SecurityCryptographic Implementations and Security

Cited by 0

Estimating the Impact of the Bitcoin Halving on Its Price Using Synthetic Control

Virtonen, V. (2025) · arXiv

Blockchain Technology Applications and SecurityFinancial Markets and Investment Strategies

Cited by 0

Understanding When Reflective Prompt and Skill Optimization Helps on Locally Served Reasoning Models: A Two-Model Study of GEPA and SkillOpt

Giummarra, A., Baglieri, C., Di Maria, A., Farruggio, A., Piatto, M., & Micale, G. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills

Zheng, B., Fatemi, M. Y., Jin, X., Wang, Z. Z., Gandhi, A., Song, Y., Gu, Y., Srinivasa, J., Liu, G., Neubig, G., et al. (2025) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 0

Are Tools All We Need? Unveiling the Tool-Use Tax in LLM Agents

Zhang, K., Xiong, Z., Zhong, M., Jiang, Z., Yuan, Z., Li, Z., & Lin, Y. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Guidance Over Adoption: Experimental Evidence on AI-Assisted Learning in HigherEducation

Gallegos, S. (2026) · SSRN Electronic Journal

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 0

Is Agent Memory a Database? Rethinking Data Foundations for Long-Term AI Agent Memory

Orogat, A., & Mansour, E. (2026) · arXiv

Advanced Database Systems and QueriesAI-based Problem Solving and Planning

Cited by 0

Student Essay Assessment System in Islamic Education: The Use of Conventional Methods and Web-Based Application Assistance

Supratama, R., Nashihin, H., Indahsari, H. N., Wahyuni, D. A., & Dewi Fadilah, H. (2025) · Jurnal Progress: Wahana Kreativitas dan Intelektualitas

Educational Technology and AssessmentEducation and Islamic Studies

Cited by 0

From AI Assistant to AI Scientist: Autonomous Discovery of LLM-RL Algorithms with LLM Agents

Xia, S., Zhang, Y., Chen, A., Wu, S., Yuan, S., & Xiao, Y. (2026) · arXiv

Reinforcement Learning in RoboticsEvolutionary Algorithms and Applications

Cited by 0

SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows

Hattami, A. E., Chapados, N., & Pal, C. (2026) · arXiv

Web Data Mining and AnalysisAI-based Problem Solving and Planning

Cited by 0

Post-Incorporating Code Structural Knowledge Into Pretrained Models via ICL for Code Translation

Du, Y., Sun, H., & Li, M. (2025) · IEEE Transactions on Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 0

Coding Agents Have Converged: Why the SWE-bench Leaderboard Can No Longer Order Its Top Entries, and What to Measure Instead

Liu, F., Liu, Y., Sun, R., Luo, L., & Guo, S. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

PowLU: An Activation Function for Stable Pre-Training of LLMs

Jiang, P., Feng, Y., Peng, C., Zhao, Q., Liu, J., Chen, K., Zhang, Z., & Zhou, J. (2026) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 0

MARS: toward more efficient multi-agent collaboration for LLM reasoning

Wang, X., Wang, J., Wang, Y., Dang, P., Cao, S., & Zhang, C. (2025) · arXiv

Topic ModelingMulti-Agent Systems and Negotiation

Cited by 0