Results 291 to 300 of about 27,597,804 (330)

LANTERN: TCR-peptide binding prediction <i>via</i> large language model representations. [PDF]

PeerJ
Qi C, Fang H, Jiang S, Hu T, Wei Z.
europepmc   +1 more source

Developing a Multimodal Screening Algorithm for Mild Cognitive Impairment and Early Dementia in Home Health Care: Protocol for a Cross-Sectional Case-Control Study Using Speech Analysis, Large Language Models, and Electronic Health Records.

JMIR Res Protoc
Zolnoori M.
europepmc   +1 more source

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JuMP 1.0: recent improvements to a modeling language for mathematical optimization

Mathematical Programming Computation, 2022
JuMP is an algebraic modeling language embedded in the Julia programming language. JuMP allows users to model optimization problems of a variety of kinds, including linear programming, integer programming, conic optimization, semidefinite programming ...
Miles Lubin, Oscar Dowson, Joaquim Dias Garcia, Joey Huchette, B. Legat, J. Vielma   +5 more
semanticscholar   +1 more source

SRILM - an extensible language modeling toolkit

Interspeech, 2002
SRILM is a collection of C++ libraries, executable programs, and helper scripts designed to allow both production of and experimentation with statistical language models for speech recognition and other applications.
A. Stolcke
semanticscholar   +1 more source

Modeling language variability with reusable language components

Software Product Lines Conference, 2018
Proliferation of modeling languages has produced a great variety of similar languages whose individual maintenance is challenging and costly. Reusing the syntax and semantics of modeling languages and their heterogeneous constituents, however, is rarely ...
Arvid Butting, Robert Eikermann, Oliver Kautz, Bernhard Rumpe, A. Wortmann   +4 more
semanticscholar   +1 more source

RewardBench: Evaluating Reward Models for Language Modeling

arXiv.org
Reward models (RMs) are at the crux of successfully using RLHF to align pretrained models to human preferences, yet there has been relatively little study that focuses on evaluation of those models.
Nathan Lambert, Valentina Pyatkin, Jacob Daniel Morrison, Lester James Validad Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hanna Hajishirzi   +11 more
semanticscholar   +1 more source

An Introduction to Vision-Language Modeling

arXiv.org
Following the recent popularity of Large Language Models (LLMs), several attempts have been made to extend them to the visual domain. From having a visual assistant that could guide us through unfamiliar environments to generative models that produce ...
Florian Bordes, Richard Yuanzhe Pang, A. Ajay, Alexander C. Li, Adrien Bardes, S. Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, X. Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Q. Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra   +40 more
semanticscholar   +1 more source