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Principles of Explanation in Human-AI Systems

Mueller, S. T., Veinott, E. S., Hoffman, R. R., Klein, G., Alam, L., Mamun, T., & Clancey, W. J. (2021) · arXiv

Observation of Light Guiding by Artificial Gauge Fields

Lumer, Y., Bandres, M. A., Heinrich, M., Maczewsky, L., Herzig-Sheinfux, H., Szameit, A., & Segev, M. (2018) · arXiv

Teaching Arithmetic to Small Transformers

Lee, N., Sreenivasan, K., Lee, J. D., Lee, K., & Papailiopoulos, D. (2023) · arXiv

RASD: Retrieval-Augmented Speculative Decoding

Quan, G., Feng, W., Hao, C., Jiang, G., Zhang, Y., & Wang, H. (2025) · arXiv

Wikipedia Contributions in the Wake of ChatGPT

Lyu, L., Siderius, J., Li, H., Acemoglu, D., Huttenlocher, D., & Ozdaglar, A. (2025) · arXiv

Quantifying Generalization in Reinforcement Learning

Cobbe, K., Klimov, O., Hesse, C., Kim, T., & Schulman, J. (2018) · arXiv

The Outlook for Financial Literacy

Lusardi, A., & Mitchell, O. S. (2010)

Gradient Routing: Masking Gradients to Localize Computation in Neural Networks

Cloud, A., Goldman-Wetzler, J., Wybitul, E., Miller, J., & Turner, A. M. (2024) · arXiv

Radiology Report Expert Evaluation (ReXVal) Dataset

Yu, F., Endo, M., Krishnan, R., Pan, I., Tsai, A., Reis, E. P., Kaiser Ururahy Nunes Fonseca, E., Lee, H., Shakeri, Z., Ng, A., et al. (2023) · PhysioNet

External Data Extraction Attacks against Retrieval-Augmented Large Language Models

He, Y., Chen, Y., Li, Y., Shao, S., Qi, L., Li, B., Tao, D., & Qin, Z. (2025) · arXiv

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis

Negi, G., Waskow, M., McCrae, J., Zayed, O., & Buitelaar, P. (2026) · arXiv

Nonnegative Decomposition of Multivariate Information

Williams, P. L., & Beer, R. D. (2010) · arXiv

Type-Constrained Code Generation with Language Models

Mündler, N., He, J., Wang, H., Sen, K., Song, D., & Vechev, M. (2025) · arXiv

Scaling up test-time compute with latent reasoning: A recurrent depth approach

Geiping, J., McLeish, S., Jain, N., Kirchenbauer, J., Singh, S., Bartoldson, B. R., Kailkhura, B., Bhatele, A., & Goldstein, T. (2025) · arXiv

Solving Label Variation in Scientific Information Extraction via Multi-Task Learning

Pham, D., Ho, X., Ha, Q.-T., & Aizawa, A. (2023) · arXiv

How Far Must a Test Explore? Certifying Composable Read-Write Interfaces from Their Own Random Edits

Guo, J., Ren, X., Yang, J., Sun, Y., & Yang, H. (2026) · arXiv

Metadata for all DOIs in Crossref: JSON MongoDB exports of all works from the Crossref API

Himmelstein, D., Wheeler, K., & Greene, C. (2017) · figshare

Making 'race' at the urban margins : Latin American and Caribbean migration in multicultural Chile

Bonhomme, M. (2022) · Goldsmiths, University of London

High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR

Lang, N., Schindler, K., & Wegner, J. D. (2021) · arXiv

SynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation

Scarinci, A., Negri, V., Impata, B., Khan, S., Martinez, V., & Federico, M. (2026) · arXiv

Healthy aging in neighborhoods of diversity across the life span (HANDLS): overcoming barriers to implementing a longitudinal, epidemiologic, urban study of health, race, and socioeconomic status.

Evans, M. K., Lepkowski, J. M., Powe, N. R., LaVeist, T., Kuczmarski, M. F., & Zonderman, A. B. (2010) · Digital Repository at the University of Maryland

TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs

Sharma, A., Saxena, A., Gupta, C., Kazemi, S. M., Talukdar, P., & Chakrabarti, S. (2022) · arXiv

Principles to Practices for Responsible AI: Closing the Gap

Schiff, D., Rakova, B., Ayesh, A., Fanti, A., & Lennon, M. (2020) · arXiv