Results 71 to 80 of about 515,234 (309)

Idiosyncrasies in Large Language Models

CoRR
Published in ICML 2025.
Mingjie Sun, Yida Yin, Zhiqiu Xu, J. Zico Kolter, Zhuang Liu 0003   +4 more
openaire   +3 more sources

Popular LLM-Large Language Models in Enterprise Applications

For the public, understanding Large Language Models (LLMs) can be likened to recognizing how a well-trained assistant works-one that has read an extensive library of information on virtually every topic imaginable.
Vadapalli, Ravi, Timothy, Norris, Pasupuleti, Rajesh, Mader, Christopher   +3 more
core   +1 more source

Quantitative linguistics in the large language models era: the study of semanticity in Catalan

, 2023
In the era of Large Language Models (like ChatGPT or Google BARD), the field of computational linguistics faces a pressing challenge: bridging the gap between theoretical linguistic models and the transformative capabilities of network models ...
Hernández Fernández, Antonio, Català, Neus, Casas, Bernardino   +2 more
core   +1 more source

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

Molecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht, Sameer Gupta, Amrita Chaurasia, Manisha Sachan   +3 more
wiley   +1 more source

Large Language Model Unlearning

Advances in Neural Information Processing Systems 37
We study how to perform unlearning, i.e. forgetting undesirable misbehaviors, on large language models (LLMs). We show at least three scenarios of aligning LLMs with human preferences can benefit from unlearning: (1) removing harmful responses, (2) erasing copyright-protected content as requested, and (3) reducing hallucinations.
Yuanshun Yao, Xiaojun Xu, Yang Liu
openaire   +3 more sources

HInter: Exposing Hidden Intersectional Bias in Large Language Models [PDF]

Large Language Models (LLMs) may portray discrimination towards certain individuals, especially those characterized by multiple attributes (aka intersectional bias). Discovering intersectional bias in LLMs is challenging, as it involves complex inputs
Yokoyama, Setsuko, Chattopadhyay, Sudipta, PAPADAKIS, Mike, Le Traon, Yves, SOREMEKUN, Ezekiel, SOUANI, Badr   +5 more
core  

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

Molecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola, Yasmine Illi, Anna Bircher, Marijn Wilmink, Rachele F. Malagutti, Solenn Ottié, Cordelia Schuler, Pedro A. Ruiz, Cheryl de Vallière, Klaus Seuwen, Gerhard Rogler, Martin Hausmann   +11 more
wiley   +1 more source

Large language models (ChatGPT) in medical education: Embrace or abjure?

The Asia Pacific Scholar, 2023
Nathasha Luke, Reshma Taneja, Kenneth Ban, Dujeepa Samarasekera, Celestial T Yap   +4 more
doaj   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Industrial applications of large language models

Scientific Reports
Large language models (LLMs) are artificial intelligence (AI) based computational models designed to understand and generate human like text. With billions of training parameters, LLMs excel in identifying intricate language patterns, enabling remarkable
Mubashar Raza, Zarmina Jahangir, Muhammad Bilal Riaz, Muhammad Jasim Saeed, Muhammad Awais Sattar   +4 more
doaj   +1 more source