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The ICF

Eadie, T. L. (2003) · American Journal of Speech-Language Pathology

Fairness in Serving Large Language Models

Sheng, Y., Cao, S., Li, D., Zhu, B., Li, Z., Zhuo, D., Gonzalez, J. E., & Stoica, I. (2024) · arXiv

Towards a Framework for Assessing the Impact of Cadastral Development on Land Rights-Holders

Hull, S., & Whittal, J. (2016) · figshare

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

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

bhasuran, B., & He, Z. (2026) · figshare

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Majnoni, F., Alipour, H., Hassanpour, M., Banagar, G., & Ajorlo, M. (2015) · Unpublished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

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

Fredholm Operators and Spectral Flow

Waterstraat, N. (2016) · 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

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

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

Linear waves on constant radius limits of cosmological black hole spacetimes

Gajic, D. (2014) · 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)

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems

Ye, R., Tang, S., Ge, R., Du, Y., Yin, Z., Chen, S., & Shao, J. (2025) · arXiv

Subliminal Learning: Language models transmit behavioral traits via hidden signals in data

Cloud, A., Le, M., Chua, J., Betley, J., Sztyber-Betley, A., Hilton, J., Marks, S., & Evans, O. (2025) · arXiv

Agentic Retrieval-Augmented Generation for Time Series Analysis

Ravuru, C., Sakhinana, S. S., & Runkana, V. (2024) · arXiv

2. Vouloir pour la nature. La représentation juridique des entités naturelles

Brunet, P. (2019) · GISI - UniTO

Opening the Black Box of Deep Neural Networks via Information

Shwartz-Ziv, R., & Tishby, N. (2017) · arXiv

Twenty Years of Debate with Stephen

Susskind, L. (2002) · arXiv

Islands in between : prehistory of the northeastern Indonesian archipelago

Tanudirjo, D. A. (2001) · The Australian National University

Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification

Kang, H., Ni, J., & Yao, H. (2023) · arXiv

READU: Inconsistency-Driven Just-in-Time Detection and Repair of README Bugs

Baek, D., Krampf, K., & Pradel, M. (2026) · arXiv