Check computer science papers: citations, claims and retractions

A self-supervised framework for learning whole slide representations

Hou, X., Jiang, C., Kondepudi, A., Lyu, Y., Chowdury, A., Lee, H., & Hollon, T. C. (2024) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 4

Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries

Malaviya, C., Chang, J. C., Roth, D., Iyyer, M., Yatskar, M., & Lo, K. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 4

SRI: A Simple Rule Induction Method for improving resiliency of DNN based IDS against adversarial and zero-day attacks

Kumar, A., Das, T. K., & Pandey, R. K. (2024) · Proceedings of the 10th ACM Cyber-Physical System Security Workshop

Adversarial Robustness in Machine LearningNetwork Security and Intrusion Detection

Cited by 4

Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability

Akyürek, A. F., Akyürek, E., Choshen, L., Wijaya, D., & Andreas, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Study on Text-based and Voice-based Dialogue Interfaces for Human-Computer Interactions in a Blocks World

Kim, S., Salter, D., DeLuccia, L., & Tamrakar, A. (2020) · Proceedings of the 8th International Conference on Human-Agent Interaction

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 4

Prior Lessons of Incremental Dialogue and Robot Action Management for the Age of Language Models

Kennington, C., Lison, P., & Schlangen, D. (2025) · Dialogue & Discourse

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 4

AgentQuest: a modular benchmark framework to measure progress and improve LLM agents

Gioacchini, L., Siracusano, G., Sanvito, D., Gashteovski, K., Friede, D., Bifulco, R., & Lawrence, C. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations)

Natural Language Processing TechniquesSpeech and dialogue systems

Cited by 4

Privacy-Preserving Recommendation with Debiased Obfuscaiton

Lin, C., Liu, B., Zhang, X., Wang, Z., Hu, C., & Luo, L. (2022) · 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 4

Compressed Chain of Thought: Efficient Reasoning Through Dense Representations

Cheng, J., & Van Durme, B. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Real‐time Terrain Enhancement with Controlled Procedural Patterns

Grenier, C., Guérin, É., Galin, É., & Sauvage, B. (2024) · Computer Graphics Forum

Computer Graphics and Visualization Techniques3D Shape Modeling and Analysis

Cited by 4

Identifying Sexual Predators in Chats Using SVM and Feature Ensemble

Fauzi, M. A., Wolthusen, S., Yang, B., Bours, P., & Yeng, P. (2023) · 2023 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)

Hate Speech and Cyberbullying DetectionText and Document Classification Technologies

Cited by 4

PLM-based World Models for Text-based Games

Kim, M., Jung, Y., Lee, D., & Hwang, S.-W. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 4

Goal Driven Discovery of Distributional Differences via Language Descriptions

Zhong, R., Zhang, P., Li, S., Ahn, J., Klein, D., & Steinhardt, J. (2023) · arXiv

Topic ModelingComputational and Text Analysis Methods

Cited by 4

The Principle of Indifference Does Not Lead to Contradictions

Tschirk, W. (2016) · International Journal of Statistics and Probability

Bayesian Modeling and Causal InferenceProbability and Statistical Research

Cited by 4

MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models

Liang, P. P., Lyu, Y., Chhablani, G., Jain, N., Deng, Z., Wang, X., Morency, L.-P., & Salakhutdinov, R. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 4

How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach

Lee, A., Che, E., & Peng, T. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

GroupDebate: Enhancing the Efficiency of Multi-Agent Debate Using Group Discussion

Liu, T., Wang, X., Huang, W., Xu, W., Zeng, Y., Jiang, L., Yang, H., & Li, J. (2026) · Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems

Topic ModelingMulti-Agent Systems and Negotiation

Cited by 4

Anomaly Detection and Classification in Knowledge Graphs

Senaratne, A., Christen, P., Omran, P., & Williams, G. (2024) · arXiv

Advanced Graph Neural NetworksAnomaly Detection Techniques and Applications

Cited by 4

Slice of Life: A Social Physics Game with Interactive Conversations using Symbolically Grounded LLM-Based Generative Dialogue

Treanor, M., Samuel, B., & Nelson, M. J. (2025) · Proceedings of the 20th International Conference on the Foundations of Digital Games

Artificial Intelligence in GamesDigital Games and Media

Cited by 4

Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries

Fang, B., Dai, X., & Karimi, S. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 4

RoboDreamer: Learning Compositional World Models for Robot Imagination

Zhou, S., Du, Y., Chen, J., Li, Y., Yeung, D.-Y., & Gan, C. (2024) · arXiv

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 4

The Future of the Open Source Definition

Riehle, D. (2023) · Computer

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 4

Report of the Independent Review Group (IRG) on the use of tablet devices in Ratoath College (RC)

Dunne, C., Dalaigh, C. Ó., & Mq, A. (2020) · Unpublished

Mobile Learning in EducationEducation and Technology Integration

Cited by 4

Cache & Distil: Optimising API Calls to Large Language Models

Ramírez, G., Lindemann, M., Birch, A., & Titov, I. (2023) · arXiv

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning

Cited by 4