Results 251 to 260 of about 52,458 (341)

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Sieving: Denoising-Robust Fine-Tuning for Semantic Structural Representation in Natural Language Inference

Miroslav Šotek
openalex   +2 more sources

Commonsense Inference in Natural Language Processing (COIN) - Shared Task Report

, 2019
Simon Ostermann, Sheng Zhang, Michael Roth, Peter E. Clark   +3 more
openalex   +1 more source

Transcendental model selection: a computational account of symbolic cognition and general intelligence through morality and culture. [PDF]

Front Sociol
Rahman S, Pashea A.
europepmc   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Bayesian Optimization of Catalysis with In-Context Learning. [PDF]

ACS Cent Sci
Caldas Ramos M, Michtavy SS, White AD, Porosoff MD.   +3 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials [PDF]

Shreyasi Mandal, Ashutosh Modi
openalex   +1 more source

Visual and textual cues in online presentations of natural foods are associated with taste inference and cognitive engagement. [PDF]

PLoS One
Sun L, Wei C, Huang H.
europepmc   +1 more source