Results 41 to 50 of about 16,605,417 (300)

Leveraging Large Language Models for Predictive Chemistry [PDF]

, 2023
Machine learning has revolutionized many fields and has recently found applications in chemistry and materials science. The small datasets commonly found in chemistry sparked the development of sophisticated machine-learning approaches that incorporate ...
Andres , Ortega-Guerrero, Kevin Maik, Jablonka, Philippe , Schwaller, Berend, Smit   +3 more
core   +2 more sources

Delusion of Large Language Models

SCIENTIA SINICA Informationis
Large Language Models often generate factually incorrect but plausible outputs, known as hallucinations. We identify a more insidious phenomenon, LLM delusion, defined as high belief hallucinations, incorrect outputs with abnormally high confidence, making them harder to detect and mitigate.
Hongshen Xu, Zixv yang, Zichen Zhu, Kunyao Lan, Zihan Wang, Mengyue Wu, Ziwei Ji 0001, Lu Chen 0002, Pascale Fung, Kai Yu 0004   +9 more
openaire   +2 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   +1 more source

The potential of Large Language Models in language education

Освітній вимір, 2021
This editorial explores the potential of Large Language Models (LLMs) in language education. It discusses the role of LLMs in machine translation, the concept of ‘prompt programming’, and the inductive bias of LLMs for abstract textual reasoning.
Vita A. Hamaniuk
doaj   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Accelerating materials language processing with large language models

Communications Materials
Materials language processing (MLP) can facilitate materials science research by automating the extraction of structured data from research papers. Despite the existence of deep learning models for MLP tasks, there are ongoing practical issues associated
Jaewoong Choi, Byungju Lee
doaj   +1 more source

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

Unpacking Large Language Models: Grundlagen, Perspektiven und Herausforderungen

Obwohl es statistische Sprachmodelle bereits seit den 1980ern gibt, konnte erst ChatGPT, welches im Winter 2022 veröffentlicht wurde, das Interesse der breiten Gesellschaft für diese Technologie wecken.
Kraft, Angelie
core   +1 more source

Large Language Models Are Biased Because They Are Large Language Models

Computational Linguistics
Abstract This position paper’s primary goal is to provoke thoughtful discussion about the relationship between bias and fundamental properties of large language models (LLMs). I do this by seeking to convince the reader that harmful biases are an inevitable consequence arising from the design of any large language model as LLMs are ...
openaire   +2 more sources

Dual Adapter Tuning of Vision–Language Models Using Large Language Models

International Journal of Computational Intelligence Systems
Vision–language models (VLMs) pre-trained on large-scale image–text pairs have shown impressive results in zero-shot vision tasks. Knowledge transferability of these models can be further improved with the help of a limited number of samples.
Mohammad Reza Zarei, Abbas Akkasi, Majid Komeili   +2 more
doaj   +1 more source