Check computer science papers: citations, claims and retractions

Interaction Challenges in AI Equipped Environments Built to Teach Foreign Languages Through Dialogue and Task-Completion

Divekar, R. R., Drozdal, J., Zhou, Y., Song, Z., Allen, D., Rouhani, R., Zhao, R., Zheng, S., Balagyozyan, L., & Su, H. (2018) · Proceedings of the 2018 Designing Interactive Systems Conference

Intelligent Tutoring Systems and Adaptive LearningSpeech and dialogue systems

Cited by 20

Learning-TCP: a novel learning automata based reliable transport protocol for ad hoc wireless networks

Venkata Ramana, B., Manoj, B. S., & Siva Ram Murthy, C. (2005) · 2nd International Conference on Broadband Networks, 2005.

Network Traffic and Congestion ControlWireless Networks and Protocols

Cited by 20

Standing on the Shoulders of Giant Frozen Language Models

Levine, Y., Dalmedigos, I., Ram, O., Zeldes, Y., Jannai, D., Muhlgay, D., Osin, Y., Lieber, O., Lenz, B., Shalev-Shwartz, S., et al. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 20

NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis

Choi, H.-S., Yang, J., Lee, J., & Kim, H. (2022) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 20

A Balanced Ensemble Approach to Weighting Classifiers for Text Classification

Cheong Fung, G., Yu, J., Wang, H., Cheung, D., & Liu, H. (2006) · Sixth International Conference on Data Mining (ICDM'06)

Text and Document Classification TechnologiesImbalanced Data Classification Techniques

Cited by 20

Improving Multi-Agent Debate with Sparse Communication Topology

Li, Y., Du, Y., Zhang, J., Hou, L., Grabowski, P., Li, Y., & Ie, E. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingMulti-Agent Systems and Negotiation

Cited by 20

Reinforced Self-Training (ReST) for Language Modeling

Gulcehre, C., Paine, T. L., Srinivasan, S., Konyushkova, K., Weerts, L., Sharma, A., Siddhant, A., Ahern, A., Wang, M., Gu, C., et al. (2023) · arXiv

Natural Language Processing TechniquesReinforcement Learning in Robotics

Cited by 20

WebWalker: Benchmarking LLMs in Web Traversal

Wu, J., Yin, W., Jiang, Y., Wang, Z., Xi, Z., Fang, R., Zhang, L., He, Y., Zhou, D., Xie, P., et al. (2025) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 20

One Epoch Is All You Need

Komatsuzaki, A. (2019) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 20

Improving Security Levels In Automatic Teller Machines (ATM) Using Multifactor Authentication

Twum, F., Nti, K., & Asante, M. (2016) · International Journal of Science and Engineering Applications

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 20

Large Language Models for Captioning and Retrieving Remote Sensing Images

Silva, J. D., Magalhães, J., Tuia, D., & Martins, B. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 20

Reinforcing Pretrained Models for Generating Attractive Text Advertisements

Wang, X., Gu, X., Cao, J., Zhao, Z., Yan, Y., Middha, B., & Xie, X. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Topic ModelingInformation Retrieval and Search Behavior

Cited by 20

Breaking the Programming Language Barrier: Multilingual Prompting to Empower Non-Native English Learners

Prather, J., Reeves, B. N., Denny, P., Leinonen, J., MacNeil, S., Luxton-Reilly, A., Orvalho, J., Alipour, A., Alfageeh, A., Amarouche, T., et al. (2024) · arXiv

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 20

The Ethics of AI and Robotics: A Buddhist Viewpoint

Hongladarom, S. (2020) · Lexington Books

Ethics and Social Impacts of AILiterary and Philosophical Studies

Cited by 20

How to distribute the detection load among virtual machines to maximize the detection of distributed attacks in the cloud?

Wahab, O. A., Bentahar, J., Otrok, H., & Mourad, A. (2016) · 2016 IEEE International Conference on Services Computing (SCC)

Security and Verification in ComputingNetwork Security and Intrusion Detection

Cited by 19

Pull Request Governance in Open Source Communities

Alami, A., Pardo, R., Cohn, M. L., & Wasowski, A. (2022) · IEEE Transactions on Software Engineering

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 19

BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

Kuratov, Y., Bulatov, A., Anokhin, P., Rodkin, I., Sorokin, D., Sorokin, A., & Burtsev, M. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 19

ACT: Adversarial Convolutional Transformer for Time Series Forecasting

Li, Y., Wang, H., Li, J., Liu, C., & Tan, J. (2022) · 2022 International Joint Conference on Neural Networks (IJCNN)

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 19

Attention-Based Deep Metric Learning for Near-Duplicate Video Retrieval

Wang, K.-H., Cheng, C.-C., Chen, Y.-L., Song, Y., & Lai, S.-H. (2021) · 2020 25th International Conference on Pattern Recognition (ICPR)

Video Analysis and SummarizationAdvanced Image and Video Retrieval Techniques

Cited by 19

Virtual Reality Interventions for Mental Health

Kothgassner, O. D., Reichmann, A., & Bock, M. M. (2023) · Current Topics in Behavioral Neurosciences

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 19

Selectively Answering Ambiguous Questions

Cole, J., Zhang, M., Gillick, D., Eisenschlos, J., Dhingra, B., & Eisenstein, J. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 19

Intrinsic dense 3D surface tracking

Zeng, Y., Wang, C., Wang, Y., Gu, X., Samaras, D., & Paragios, N. (2011) · CVPR 2011

3D Shape Modeling and AnalysisAdvanced Vision and Imaging

Cited by 19

Deep Active Learning for Axon-Myelin Segmentation on Histology Data

di Scandalea, M. L., Perone, C. S., Boudreau, M., & Cohen-Adad, J. (2019) · arXiv

Medical Image Segmentation TechniquesCell Image Analysis Techniques

Cited by 19

A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing

Ariji, Y., Gotoh, M., Fukuda, M., Watanabe, S., Nagao, T., Katsumata, A., & Ariji, E. (2022) · Scientific Reports

Medical Image Segmentation TechniquesDysphagia Assessment and Management

Cited by 19