Check computer science papers: citations, claims and retractions

Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Cheng, X., Zeng, W., Dai, D., Chen, Q., Wang, B., Xie, Z., Huang, K., Yu, X., Hao, Z., Zhang, H., et al. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 3

MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions

Di Salvo, F., Doerrich, S., & Ledig, C. (2024) · arXiv

Domain Adaptation and Few-Shot LearningArtificial Intelligence in Healthcare and Education

Cited by 3

Reviewer2: Optimizing Review Generation Through Prompt Generation

Gao, Z., Brantley, K., & Joachims, T. (2024) · arXiv

Topic ModelingAcademic Writing and Publishing

Cited by 3

Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models

Arora, D., & Kambhampati, S. (2023) · arXiv

AI-based Problem Solving and PlanningTopic Modeling

Cited by 3

Image Encryption Using Fractional Order Linear-Nonlinear Chaos

Feng, G. (2020) · Journal of Physics: Conference Series

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 3

Synthesis of listener vocalizations : towards interactive speech synthesis

Pammi, S. C. (2011) · Universität des Saarlandes

Speech Recognition and SynthesisSpeech and dialogue systems

Cited by 3

Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding

Di, Y., & Zhang, T. (2025) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 3

Halueval-wild: Evaluating hallucinations of language models in the wild

Zhu, Z., Yang, Y., & Sun, Z. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

To Code, or Not To Code? Exploring Impact of Code in Pre-training

Aryabumi, V., Su, Y., Ma, R., Morisot, A., Zhang, I., Locatelli, A., Fadaee, M., Üstün, A., & Hooker, S. (2024) · arXiv

Topic ModelingSoftware Engineering Research

Cited by 3

Le rôle de l’éthique dans la mise en place d’une certification pour l’utilisation d’algorithmes dans le système juridique

Guiraud, É. (2019) · Éthique publique

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 3

Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement

Cheng, Z., Zhou, L., Jiang, F., Wang, B., & Li, H. (2025) · Proceedings of the ACM on Web Conference 2025

Authorship Attribution and ProfilingMisinformation and Its Impacts

Cited by 3

Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP

Goldman, O., Jacovi, A., Slobodkin, A., Maimon, A., Dagan, I., & Tsarfaty, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Data Engineering for Scaling Language Models to 128K Context

Fu, Y., Panda, R., Niu, X., Yue, X., Hajishirzi, H., Kim, Y., & Peng, H. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

NVLM: Open Frontier-Class Multimodal LLMs

Dai, W., Lee, N., Wang, B., Yang, Z., Liu, Z., Barker, J., Rintamaki, T., Shoeybi, M., Catanzaro, B., & Ping, W. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 3

A Trust Based Secure and Privacy Aware Framework for Efficient Taxi and Car Sharing System

Olakanmi, O., & Oluwaseun, S. (2018) · International Journal of Vehicular Telematics and Infotainment Systems

Access Control and TrustVehicular Ad Hoc Networks (VANETs)

Cited by 3

ConGen: Unsupervised control and generalization distillation for sentence representation

Limkonchotiwat, P., Ponwitayarat, W., Lowphansirikul, L., Udomcharoenchaikit, C., Chuangsuwanich, E., & Nutanong, S. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 3

SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence

Zhang, Y., Lin, C., Tang, S., Chen, H., Zhou, S., Ma, Y., & Tresp, V. (2025) · arXiv

AI-based Problem Solving and PlanningMulti-Agent Systems and Negotiation

Cited by 3

Large Language Models Can Not Perform Well in Understanding and Manipulating Natural Language at Both Character and Word Levels?

Zhang, Y., & He, Z. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingNatural Language Processing Techniques

Cited by 3

Changing the color attributes of icons to inform of the application status

Ju, S.-W., Jeong, K., & Suk, H.-J. (2014) · The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014)

Usability and User Interface DesignData Visualization and Analytics

Cited by 3

A Meta-Learning Perspective on Transformers for Causal Language Modeling

Wu, X., & Varshney, L. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 3

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks

Zhou, X., Weyssow, M., Widyasari, R., Zhang, T., He, J., Lyu, Y., Chang, J., Zhang, B., Huang, D., & Lo, D. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 3

Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets

Azime, I. A., Tonja, A. L., Belay, T. D., Fuge, M. Y., Wassie, A. K., Jada, E. S., Chanie, Y., Sewunetie, W. T., & Yimam, S. M. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingNatural Language Processing Techniques

Cited by 3

NoLiMa: Long-Context Evaluation Beyond Literal Matching

Modarressi, A., Deilamsalehy, H., Dernoncourt, F., Bui, T., Rossi, R. A., Yoon, S., & Schütze, H. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

How We Built Cedar: A Verification-Guided Approach

Disselkoen, C., Eline, A., He, S., Headley, K., Hicks, M., Hietala, K., Kastner, J., Mamat, A., McCutchen, M., Rungta, N., et al. (2024) · Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering

Software Testing and Debugging TechniquesLogic, programming, and type systems

Cited by 3