Check a paper's citations and claims before you cite it.

MS-YOLO: Infrared Object Detection for Edge Deployment via MobileNetV4 and SlideLoss

Zhang, J., White, T. S., Zhang, H., Hu, W., Wunsch, D. C., & Liu, J. (2025) · arXiv

RUBATO: Decoupled Clocks Allow Full-Duplex Models to Think as Fast as They Can

Shih, Y.-J., Peng, P., Liu, H., Harwath, D., & Mohamed, A. (2026) · arXiv

Efficient Adaptation of Pretrained Transformers for Abstractive Summarization

Hoang, A., Bosselut, A., Celikyilmaz, A., & Choi, Y. (2019) · arXiv

Unlearnable examples for diffusion models: protect data from unauthorized exploitation

Zhao, Z., Duan, J., Hu, X., Xu, K., Wang, C., Zhang, R., Du, Z., Guo, Q., & Chen, Y. (2023) · arXiv

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem

Wei, Q., Holt, S., Yang, J., Wulfmeier, M., & van der Schaar, M. (2025) · arXiv

Sentiment Analysis in the Era of Large Language Models: A Reality Check

Zhang, W., Deng, Y., Liu, B., Pan, S. J., & Bing, L. (2023) · arXiv

Should ChatGPT and bard share revenue with their data providers? A new business model for the AI era

Zhang, D. (2023) · arXiv

A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents

Newman, B., Soldaini, L., Fok, R., Cohan, A., & Lo, K. (2023) · arXiv

ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning

Lopez-Miguel, I. D., Happe, A., Cito, J., Bartocci, E., Könighofer, B., & Tappler, M. (2026) · arXiv

AgenticOCR: Parsing Only What You Need for Efficient Retrieval-Augmented Generation

Wang, Z., Ma, D., Zhong, H., Li, J., Zhang, W., Wang, B., & He, C. (2026) · arXiv

H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark

LeGris, S., Vong, W. K., Lake, B. M., & Gureckis, T. M. (2024) · arXiv

SinGAN: learning a generative model from a single natural image

Shaham, T. R., Dekel, T., & Michaeli, T. (2019) · arXiv

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Hubara, I., Courbariaux, M., Soudry, D., El-Yaniv, R., & Bengio, Y. (2016) · arXiv

Evaluating Language Models for Mathematics through Interactions

Collins, K. M., Jiang, A. Q., Frieder, S., Wong, L., Zilka, M., Bhatt, U., Lukasiewicz, T., Wu, Y., Tenenbaum, J. B., Hart, W., et al. (2023) · arXiv

A severity index for epidemiological surveys of female urinary incontinence: Comparison with 48-hour pad-weighing tests

Sandvik, H., Seim, A., Vanvik, A., & Hunskaar, S. (2000) · Neurourology and Urodynamics

Improving biosensor analysis

Myszka, D. G. (1999) · Journal of Molecular Recognition

Polylactic Acid Technology

Drumright, R. E., Gruber, P. R., & Henton, D. E. (2000) · Advanced Materials

An Exact Apéry Limit for the AESZ 182 Calabi–Yau Recurrence

Shvets, A. (2026) · Zenodo

Oligodendrocytes as glucocorticoids target cells: functional analysis of the glycerol phosphate dehydrogenase gene

Cheng, J. D., & de Vellis, J. (2000) · Journal of Neuroscience Research

RuleFlow : Generating Reusable Program Optimizations with LLMs

Singh, A., Bharadwaj, D., Baziotis, S., Varadharajan, K., & Mendis, C. (2026) · arXiv

The role of different cytochrome P450 isoforms in in vitro chloroform metabolism

Testai, E., De Curtis, V., Gemma, S., Fabrizi, L., Gervasi, P., & Vittozzi, L. (1996) · Journal of Biochemical Toxicology

Seeing through randomness with topological light

Peters, C., Everts, K., Kleine, T., Ornelas, P., & Forbes, A. (2025) · arXiv

An In-Context Learning Agent for Formal Theorem-Proving

Thakur, A., Tsoukalas, G., Wen, Y., Xin, J., & Chaudhuri, S. (2023) · arXiv

Dataset of first appearances of the scholarly bibliographic references on English Wikipedia articles as of 1 March 2017 and as of 1 October 2021

Kikkawa, J., Takaku, M., & Yoshikane, F. (2021) · Zenodo