Results 101 to 110 of about 9,716,149 (241)
A Study on Text Classification in the Age of Large Language Models
Machine Learning and Knowledge ExtractionLarge language models (LLMs) have recently made significant advances, excelling in tasks like question answering, summarization, and machine translation.
Paul Trust, Rosane Minghim
doaj +1 more source
Supporting evidence-based adaptation decision-making in Western Australia: a synthesis of climate change adaptation research [PDF]
, 2013 This research synthesis provides policy-makers and practitioners with an understanding of the building blocks for effective adaptation decision-making, as evidenced through the NCCARF research program.
Laura Cacho +2 more
core
FEBS Letters, EarlyView.How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
Structured low rank tracker with smoothed regularization
, 2016 In this paper, we propose a structured low rank learning algorithm with smoothed regularization for robust object tracking, under particle filter framework.
Li XM(李小毛) +3 more
core
GLoRIA : gated low-rank interpretable adaptation for dialectal ASR
Automatic Speech Recognition (ASR) in dialect-heavy settings remains challenging due to strong regional variation and limited labeled data. We propose GLoRIA, a parameter-efficient adaptation framework that leverages metadata (e.g., coordinates) to ...
Breitbarth, Anne +4 more
core +1 more source
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
FEBS Letters, EarlyView.Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source
Randomized methods for dynamical low-rank approximation
We introduce novel dynamical low-rank methods for solving large-scale matrix differential equa- tions, motivated by algorithms from randomized numerical linear algebra.
Carrel, Benjamin
core +1 more source
Artificial molecular machines and motors—Design and control of nanoscale motion
FEBS Letters, EarlyView.Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley +1 more source
LoTR: Low Tensor Rank Weight Adaptation [PDF]
In this paper we generalize and extend an idea of low-rank adaptation (LoRA) of large language models (LLMs) based on Transformer architecture. Widely used LoRA-like methods of fine-tuning LLMs are based on matrix factorization of gradient update.
Cherniuk, Daria +4 more
core +1 more source
Deep learning through sparse and low-rank modeling /
Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models-those that emphasize problem-specific Interpretability-with recent deep network models that have enabled a larger learning capacity and better ...
Huang, Thomas S.editor. +2 more
core