Most cited computer science papers
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MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Niu, J., Liu, Z., Gu, Z., Wang, B., Ouyang, L., Zhao, Z., Chu, T., He, T., Wu, F., Zhang, Q., et al. (2025) · arXiv
Handwritten Text Recognition TechniquesAdvanced Neural Network Applications
Cited by 3
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In-Context Language Learning: Architectures and Algorithms
Akyürek, E., Wang, B., Kim, Y., & Andreas, J. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 3
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LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization
Krishna, K., Bransom, E., Kuehl, B., Iyyer, M., Dasigi, P., Cohan, A., & Lo, K. (2023) · arXiv
Topic ModelingAdvanced Text Analysis Techniques
Cited by 3
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Scientific Artificial Intelligence: From a Procedural Toolkit to Cognitive Coauthorship
Bisenbaev, A. K. (2026) · Philosophies
Ethics and Social Impacts of AILaw, AI, and Intellectual Property
Cited by 3
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What Matters When Building Vision Language Models for Product Image Analysis?
Trabelsi, A., Zontak, M., Qian, Y., Jackson, B., Khan, S., & Batur, U. (2025) · 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 3
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ITBench: evaluating AI agents across diverse real-world IT automation tasks
Jha, S., Arora, R., Watanabe, Y., Yanagawa, T., Chen, Y., Clark, J., Bhavya, B., Verma, M., Kumar, H., Kitahara, H., et al. (2025) · arXiv
Software System Performance and ReliabilityRobotic Process Automation Applications
Cited by 3
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Dynamic Parallel Tree Search for Efficient LLM Reasoning
Ding, Y., Jiang, W., Liu, S., Jing, Y., Guo, J., Wang, Y., Zhang, J., Wang, Z., Liu, Z., Du, B., et al. (2025) · arXiv
Natural Language Processing TechniquesAI-based Problem Solving and Planning
Cited by 3
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Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
Grauman, K., Westbury, A., Torresani, L., Kitani, K., Malik, J., Afouras, T., Ashutosh, K., Baiyya, V., Bansal, S., Boote, B., et al. (2025) · International Journal of Computer Vision
Human Pose and Action RecognitionContext-Aware Activity Recognition Systems
Cited by 3
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Fixing Reference Hallucinations of LLMs
Maes, S. (2024)
Topic ModelingNatural Language Processing Techniques
Cited by 3
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SimClone: Detecting Tabular Data Clones Using Value Similarity
Yang, X., Rajbahadur, G. K., Lin, D., Wang, S., & Jiang, Z. M. (. (2025) · ACM Transactions on Software Engineering and Methodology
Software Engineering ResearchData Quality and Management
Cited by 3
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Minimum-Spanning-Tree-Based Time Delay Estimation Robust to Outliers
Yamaoka, K., Nakashima, T., Wakabayashi, Y., & Ono, N. (2023) · IEEE Access
Direction-of-Arrival Estimation TechniquesSpeech and Audio Processing
Cited by 3
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Language Models Hallucinate, but May Excel at Fact Verification
Guan, J., Dodge, J., Wadden, D., Huang, M., & Peng, H. (2023) · arXiv
Topic ModelingMisinformation and Its Impacts
Cited by 3
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Derechos de autor y licencias de la inteligencia artificial generativa: un análisis desde la ciencia abierta en América Latina
de México, U. N. A., & Palma Peña, J. M. (2025) · Revista Interamericana de Bibliotecología
Law, AI, and Intellectual PropertyIntellectual Property Rights and Media
Cited by 3
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Practical Imitation Learning in the Real World via Task Consistency Loss
Khansari, M., Ho, D., Du, Y., Fuentes, A., Bennice, M., Sievers, N., Kirmani, S., Bai, Y., & Jang, E. (2022) · arXiv
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 3
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Idiosyncrasies in Large Language Models
Sun, M., Yin, Y., Xu, Z., Kolter, J. Z., & Liu, Z. (2025) · arXiv
Topic ModelingAuthorship Attribution and Profiling
Cited by 3
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Bootstrapping Language-Audio Pre-training for Music Captioning
Lanzendörfer, L. A., Pinkl, C., Perraudin, N., & Wattenhofer, R. (2025) · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Music and Audio ProcessingMultimodal Machine Learning Applications
Cited by 3
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XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
Nikulin, A., Kurenkov, V., Zisman, I., Agarkov, A., Sinii, V., & Kolesnikov, S. (2024) · Advances in Neural Information Processing Systems 37
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 3
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1-PAGER: One Pass Answer Generation and Evidence Retrieval
Jain, P., Soares, L. B., & Kwiatkowski, T. (2023) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 3
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BiCrossMamba-ST: Speech Deepfake Detection with Bidirectional Mamba Spectro-Temporal Cross-Attention
El Kheir, Y., Polzehl, T., & Möller, S. (2025) · Interspeech 2025
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 3
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Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs
Bhandarkar, A., Wilson, R., Swarup, A., & Woodard, D. (2024) · Proceedings of the 1st Workshop on Personalization of Generative AI Systems (PERSONALIZE 2024)
Authorship Attribution and ProfilingTopic Modeling
Cited by 3
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Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST!
Wildenburg, F., Hanna, M., & Pezzelle, S. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 3
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Continual Learning with Low Rank Adaptation
Wistuba, M., Sivaprasad, P. T., Balles, L., & Zappella, G. (2023) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 3
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Feedback Loops With Language Models Drive In-Context Reward Hacking
Pan, A., Jones, E., Jagadeesan, M., & Steinhardt, J. (2024) · arXiv
Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning
Cited by 3
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Mixed Distillation Helps Smaller Language Models Reason Better
Chenglin, L., Chen, Q., Li, L., Wang, C., Tao, F., Li, Y., Chen, Z., & Zhang, Y. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024
Topic ModelingNatural Language Processing Techniques
Cited by 3
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