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Showing 2025Show all
3 papers · 1 filter
physics.app-ph2025★ 2 cited
Multi-Task Deep Learning for Surface Metrology
D. Kucharski, A. Gaska, T. Kowaluk +9
A reproducible deep learning framework is presented for surface metrology to predict surface texture parameters together with their reported standard uncertainties. Using a multi-i…
cs.CL2025★ 1 cited
SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation
Michał Perełkiewicz, Sławomir Dadas, Rafał Poświata
This article introduces semantically meaningful causal language modeling (SMCLM), a selfsupervised method of training autoregressive models to generate semantically equivalent text…
cs.LG2025★ 23 cited
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…