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MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation

Qian, H., Liu, Z., Zhang, P., Mao, K., Lian, D., Dou, Z., & Huang, T. (2024) · arXiv

Ai2 Scholar QA: Organized Literature Synthesis with Attribution

Singh, A., Chang, J. C., Anastasiades, C., Haddad, D., Naik, A., Tanaka, A., Zamarron, A., Nguyen, C., Hwang, J. D., Dunkleberger, J., et al. (2025) · arXiv

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Ye, R., Pang, X., Chai, J., Chen, J., Yin, Z., Xiang, Z., Dong, X., Shao, J., & Chen, S. (2024) · arXiv

WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation

Ding, S., Dai, X., Xing, L., Ding, S., Liu, Z., JingYi, Y., Yang, P., Zhang, Z., Wei, X., Fang, X., et al. (2026) · arXiv

Sampling of Structure and Sequence Space of Small Protein Folds

Linsky, T., Noble, K., Tobin, A., Crow, R., Carter, L., Urbauer, J., Baker, D., & Strauch, E. (2021)

LabQAR (Lab oratory Q uestion A nswering with R eference Ranges) Data Set

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Assessment of Cd, Cr and Pb Pollution in Sediment and Water of Gheshlagh River, Iran, in September 2013

Majnoni, F., Alipour, H., Hassanpour, M., Banagar, G., & Ajorlo, M. (2015) · Unpublished

Retrieval-Augmented Generation with Conflicting Evidence

Wang, H., Prasad, A., Stengel-Eskin, E., & Bansal, M. (2025) · arXiv

Predictability and Information Theory. Part I: Measures of Predictability

DelSole, T. (2004) · Journal of the Atmospheric Sciences

Replication data for: What Can Machines Learn, and What Does It Mean for Occupations and the Economy?

Brynjolfsson, E., Mitchell, T., & Rock, D. (2018) · ICPSR - Interuniversity Consortium for Political and Social Research

New Paradigms for Organic Catalysts: The First Organocatalytic Living Polymerization

Nederberg, F., Connor, E. F., Möller, M., Glauser, T., & Hedrick, J. L. (2001) · Angewandte Chemie International Edition

Fredholm Operators and Spectral Flow

Waterstraat, N. (2016) · arXiv

Exploring Effective Factors for Improving Visual In-Context Learning

Sun, Y., Chen, Q., Li, X., Wang, J., Wang, J., & Li, Z. (2023) · arXiv

Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data

Yuan, H., Chan, S., Creagh, A. P., Tong, C., Acquah, A., Clifton, D. A., & Doherty, A. (2022) · arXiv

A metacognitive model and therapy for generalized anxiety disorder

Wells, A. (1999) · Clinical Psychology & Psychotherapy

Factor structure of the Barratt impulsiveness scale

Patton, J. H., Stanford, M. S., & Barratt, E. S. (1995) · Journal of Clinical Psychology

Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks

Shi, Y., Chi, M., Barnes, T., & Price, T. (2022) · arXiv

Davenport Constant with Weights and Some Related Questions

Adhikari, S. D., & Rath, P. (2006) · Zenodo

Linear waves on constant radius limits of cosmological black hole spacetimes

Gajic, D. (2014) · arXiv

During and after COVID-19: What happened to the home advantage in Germany's first football division?

Schank, T., Voigt, V., & Orthey, C. (2024) · arXiv

Intercellular signaling dynamics from a single cell atlas of the biomaterials response

Cherry, C., Maestas, D. R., Han, J., Andorko, J. I., Cahan, P., Fertig, E. J., Garmire, L. X., & Elisseeff, J. H. (2020)

Code World Models for General Game Playing

Lehrach, W., Hennes, D., Lazaro-Gredilla, M., Lou, X., Wendelken, C., Li, Z., Dedieu, A., Grau-Moya, J., Lanctot, M., Iscen, A., et al. (2025) · arXiv

Distribution of mRNAs encoding CRF receptors in brain and pituitary of rat and mouse

Van Pett, K., Viau, V., Bittencourt, J. C., Chan, R. K. W., Li, H.-Y., Arias, C., Prins, G. S., Perrin, M., Vale, W., & Sawchenko, P. E. (2000) · The Journal of Comparative Neurology

Tribal Control in Federal Sentencing

Tredeau, E. (2011) · California Law Review