Check computer science papers: citations, claims and retractions

NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning

Zhang, Z., Li, Y., Le, N. H. L., Wang, Z., Ma, T., Galassi, V., Murugesan, K., Moniz, N., Geyer, W., Chawla, N. V., et al. (2024) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 2

CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale

Wang, C., Chu, Z., Cheng, Z., Yang, X., Qiu, K., Wan, Y., Zhao, Z., Shi, X., & Chen, D. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 2

Integrated Design and Governance of Agentic AI Systems through Adaptive Information Modulation

Chen, Q., Ilami, S., Lore, N., & Heydari, B. (2024) · arXiv

Multi-Agent Systems and NegotiationGame Theory and Applications

Cited by 2

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Gutiérrez, B. J., Shu, Y., Qi, W., Zhou, S., & Su, Y. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 2

Continuous measurement of sweat electrolyte quantity to evaluate mental stress

Shamsuddin, A. K. M., & Togawa, T. (2002) · Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 2

A brief Review on the Role of Context in Explainable AI

Baruah, R. D., & Organero, M. M. (2024) · 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)

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

Cited by 2

ChatGPT Search as a tool for scholarly tasks: evolution or devolution?

de València, U. P., Font-Julián, C. I., Orduña-Malea, E., de València, U. P., Codina, L., & Fabra, U. P. (2024) · Infonomy

Information Retrieval and Search BehaviorWeb visibility and informetrics

Cited by 2

SkillOpt: Executive Strategy for Self-Evolving Agent Skills

Yang, Y., Gong, Z., Huang, W., Yang, Q., Zhou, Z., Huang, Z., Li, Y., Gao, X., Dai, Q., Liu, B., et al. (2026) · arXiv

Artificial Intelligence ApplicationsEvolutionary Algorithms and Applications

Cited by 2

Improved Neural Protoform Reconstruction via Reflex Prediction

Lu, L., Wang, J., & Mortensen, D. R. (2024) · Proceedings of the Language Resources and Evaluation Conference

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 2

Language Models As Semantic Indexers

Jin, B., Zeng, H., Wang, G., Chen, X., Wei, T., Li, R., Wang, Z., Li, Z., Li, Y., Lu, H., et al. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 2

Data Contamination Through the Lens of Time

Roberts, M., Thakur, H., Herlihy, C., White, C., & Dooley, S. (2023) · arXiv

Topic ModelingSoftware Engineering Research

Cited by 2

Cripping AI: Reimagining AI Through Lived Disability Experiences

Tang, X., Lin, T.-A., Li, J., & Wu, S. (2026) · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIDisability Rights and Representation

Cited by 2

Cited but Not Verified: Parsing and Evaluating Source Attribution in LLM Deep Research Agents

Onweller, H., Lumer, E., Huber, A., Ramchandani, P., Subbiah, V. K., & Feld, C. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 2

MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning

Nguyen, T., Chin, P., & Tai, Y.-W. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 2

Agent Behavioral Contracts: Formal Specification and Runtime Enforcement for Reliable Autonomous AI Agents

Bhardwaj, V. P. (2026) · arXiv

Formal Methods in VerificationSoftware Testing and Debugging Techniques

Cited by 2

GUPPY: Pythonic Quantum-Classical Programming

Koch, M., Lawrence, A., Singhal, K., Sivarajah, S., & Duncan, R. (2025) · arXiv

Quantum Computing Algorithms and ArchitectureLogic, programming, and type systems

Cited by 2

DebugBench: Evaluating Debugging Capability of Large Language Models

Tian, R., Ye, Y., Qin, Y., Cong, X., Lin, Y., Pan, Y., Wu, Y., Hui, H., Liu, W., Liu, Z., et al. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 2

A parallel color image encryption algorithm using chaos for colour image encryption

Shao, Y. (2024) · 2024 3rd International Conference on Electronics and Information Technology (EIT)

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 2

LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

Bai, Y., Zhang, J., Lv, X., Zheng, L., Zhu, S., Hou, L., Dong, Y., Tang, J., & Li, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

Alzahrani, N., Alyahya, H. A., Alnumay, Y., Alrashed, S., Alsubaie, S., Almushaykeh, Y., Mirza, F., Alotaibi, N., Altwairesh, N., Alowisheq, A., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Lyfe Agents: Generative agents for low-cost real-time social interactions

Kaiya, Z., Naim, M., Kondic, J., Cortes, M., Ge, J., Luo, S., Yang, G. R., & Ahn, A. (2023) · arXiv

Artificial Intelligence in GamesMulti-Agent Systems and Negotiation

Cited by 2

Towards User Experience Heuristics for Engagement and Interaction

Oyedele, Y., & Van Greunen, D. (2022) · 2022 IST-Africa Conference (IST-Africa)

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 2

Reward Gaming in Conditional Text Generation

Pang, R. Y., Padmakumar, V., Sellam, T., Parikh, A. P., & He, H. (2022) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 2

Improving Steering Vectors by Targeting Sparse Autoencoder Features

Chalnev, S., Siu, M., & Conmy, A. (2024) · arXiv

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 2