Results 91 to 100 of about 31,797 (289)
Advanced Intelligent Discovery, EarlyView.This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley +1 more source
Error-Guided Multimodal Sample Selection with Hallucination Suppression for LVLMs
ComputersBuilding high-quality multimodal instruction datasets is often time-consuming and costly. Recent studies have shown that a small amount of carefully selected high-quality data can be more effective for improving LVLM performance than large volumes of low-
Huanyu Cheng +4 more
doaj +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
Advanced Intelligent Discovery, EarlyView.This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
, 2019 University of Minnesota M.A. thesis. November 2019. Major: Philosophy. Advisor: Peter Hanks. 1 computer file (PDF); vi, 83 pages.It can seem as if philosophy of perception has discussed hallucination almost more than perception itself.
Swanson, Link
core
Thinking Hallucination for Video Captioning
, 2022 With the advent of rich visual representations and pre-trained language models, video captioning has seen continuous improvement over time. Despite the performance improvement, video captioning models are prone to hallucination.
Ullah, Nasib, Mohanta, Partha Pratim
core
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 +7 more
wiley +1 more source
, 1994 Wolfe Charles T. Hallucination simplex. In: Chimères. Revue des schizoanalyses, N°21, hiver 1994. Félix Guattari — vol 1. pp.
Wolfe, Charles T., Charles T. Wolfe
core +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Language Without Propositions: Why Large Language Models Hallucinate
PhilosophiesThis paper defends the thesis that LLM hallucinations are best explained as a truth representation problem: Current models lack an internal representation of propositions as truth-bearers, so truth and falsity cannot constrain generation in the way ...
Jakub Mácha
doaj +1 more source