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Reinforcement Twinning via Twin-Calibrated Bayesian Policy Search and Replay-Driven Identification

Mendez, M. A., Schena, L., Poletti, R., Lecomte, Y., Randino, S., & Berghe, J. V. D. (2026) · arXiv

Neural Controlled Differential Equations for Irregular Time Series

Kidger, P., Morrill, J., Foster, J., & Lyons, T. (2020) · arXiv

Code-Augur: Agentic Vulnerability Detection via Specification Inference

Luo, Z., Zafar, M., Wolff, D., & Roychoudhury, A. (2026) · arXiv

Automatic tagging using deep convolutional neural networks

Choi, K., Fazekas, G., & Sandler, M. (2016) · arXiv

Tectonic erosion along the Japan and Peru convergent margins

VON HUENE, R., & LALLEMAND, S. (1990) · Geological Society of America Bulletin

Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Cohen, S., Bitton, R., & Nassi, B. (2024) · arXiv

Handwritten Text Recognition Error Rate Reduction in Historical Documents using Naive Transcribers

Christlein, V., Nicolaou, A., Schlauwitz, T., Späth, S., & Maier, A. (2018) · Gesellschaft für Informatik e.V.

Correlation of Parkinson's disease severity and duration with123I-FP-CIT SPECT striatal uptake

Benamer, H. T. S., Patterson, J., Wyper, D. J., Hadley, D. M., Macphee, G. J. A., & Grosset, D. G. (2000) · Movement Disorders

Volume and number of neurons of the human hippocampal formation in normal aging and Alzheimer’s disease

?imi?, G., Kostovi?, I., Winblad, B., & Bogdanovi?, N. (1997) · The Journal of Comparative Neurology

Should I Get Involved? On the Privacy Perils of Mining Software Repositories for Research Participants

Vidoni, M., & Ferreyra, N. E. D. (2022) · arXiv

Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments

Zheng, T., Deng, W., & Hu, J. (2017) · arXiv

Social Status and Anti-Immigrant Attitudes in Europe: An Examination from the Perspective of Social Dominance Theory

Küpper, B., Wolf, C., & Zick, A. (2010) · International Journal of Conflict and Violence (IJCV)

Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves

Deng, Y., Zhang, W., Chen, Z., & Gu, Q. (2023) · arXiv

CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments

Huang, K.-H., Prabhakar, A., Dhawan, S., Mao, Y., Wang, H., Savarese, S., Xiong, C., Laban, P., & Wu, C.-S. (2024) · arXiv

Redefining accountability: navigating legal challenges of participant liability in decentralized autonomous organizations

Napieralska, A., & Kępczyński, P. (2024) · arXiv

Retrospective End-User Walkthrough: A Method for Assessing How People Combine Multiple AI Models in Decision-Making Systems

de Santana, V. F., Galeno, L. M. D. F., Brazil, E. V., Heching, A., & Cerqueira, R. (2023) · arXiv

Information Seeking for Robust Decision Making under Partial Observability

Fang, D. C.-J., & Ke, T.-W. (2025) · arXiv

The SmartSHARK Ecosystem for Software Repository Mining

Trautsch, A., Trautsch, F., Herbold, S., Ledel, B., & Grabowski, J. (2020) · arXiv

UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding

Lian, S., Wu, Y., Ma, J., Ding, Y., Song, Z., Chen, B., Zheng, X., Li, H., & Ji, R. (2025) · arXiv

A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Zhong, J., Shen, W., Li, Y., Gao, S., Lu, H., Chen, Y., Zhang, Y., Zhou, W., Gu, J., & Zou, L. (2025) · arXiv

Are we measuring trust correctly in explainability, interpretability, and transparency research?

Miller, T. (2022) · arXiv

MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition

Zhang, H., Zhuang, Z., Wang, X., Yang, X., & Zhang, Y. (2025) · arXiv

A Probabilistic Model for Planar Sliding of Objects with Unknown Material Properties: Identification and Robust Planning

Song, C., & Boularias, A. (2020) · arXiv

Ultra-Sparse Memory Network

Huang, Z., Min, Q., Huang, H., Zhu, D., Zeng, Y., Guo, R., & Zhou, X. (2024) · arXiv