knowledge models - Robuta Search

https://www.causalitybiomodels.com/ Causality Biomodels | Biocuration | Knowledge models | Ontologies Causality Biomodels is a biocuration and knowledge extraction company that leverages upon transformative technologies in computer science as well as expert... knowledge models causality biomodels biocuration ontologies https://scads.ai/1st-workshop-of-learning-large-language-models-for-knowledge-representation/ Learning Large Language Models for Knowledge Representation Dec 13, 2024 - From 12.-13.12.2024, the workshop LLMs' secrets - Learning Large Language Models for Knowledge Representation was held in Dresden. large language models learning knowledge representation https://aclanthology.org/2024.acl-long.171/ Detoxifying Large Language Models via Knowledge Editing - ACL Anthology Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen. Proceedings of the 62nd Annual... large language models detoxifying via knowledge editing https://openreview.net/forum?id=XhBHfsy5JH&referrer=%5Bthe%20profile%20of%20Max%20Bartolo%5D(%2Fprofile%3Fid%3D~Max_Bartolo1) Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models | OpenReview large language models procedural knowledge drives reasoning openreview https://www.datacamp.com/it/blog/knowledge-graphs-and-llms Enhancing Large Language Models with Knowledge Graphs | DataCamp Discover how combining knowledge graphs and Large Language Models enhances AI accuracy, real-time responses, and user experiences across various applications. large language models knowledge graphs enhancing datacamp https://arxiv.org/abs/2309.04175 [2309.04175] Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for... Abstract page for arXiv paper 2309.04175: Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in... large language models https://openreview.net/forum?id=ENkss6GiKG KScope: A Framework for Characterizing the Knowledge Status of Language Models | OpenReview Characterizing a large language model's (LLM's) knowledge of a given question is challenging. As a result, prior work has primarily examined LLM behavior under... the knowledge https://openreview.net/forum?id=3pOp2EXTxWg Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study | OpenReview Biomedical knowledge graphs (KGs) hold rich information on entities such as diseases, drugs, and genes. Predicting missing links in these graphs can boost many... scientific language knowledge base https://ideas.repec.org/p/hal/journl/hal-00279452.html Networks models of innovation and knowledge diffusion Governments and regional authorities often express the belief that the key to prosperity and economic expansion is related to the ability of countries to... networks models innovation knowledge diffusion https://huggingface.co/papers/2603.19195 Paper page - How Auditory Knowledge in LLM Backbones Shapes Audio Language Models: A Holistic... Join the discussion on this paper page https://www.amazon.science/publications/transferring-knowledge-from-large-foundation-models-to-small-downstream-models Transferring knowledge from large foundation models to small downstream models - Amazon Science How do we transfer the relevant knowledge from ever larger foundation models into small, task-specific downstream models that can run at much lower costs?... foundation models transferring knowledge large https://openreview.net/forum?id=OQqNieeivq KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models | OpenReview The increasing sizes of large language models (LLMs) result in significant computational overhead and memory usage when adapting these models to specific tasks... large language models singular value kasa knowledge aware https://openreview.net/forum?id=rTCJ29pkuA&referrer=%5Bthe%20profile%20of%20Yada%20Zhu%5D(%2Fprofile%3Fid%3D~Yada_Zhu1) Reasoning of Large Language Models over Knowledge Graphs with Super-Relations | OpenReview While large language models (LLMs) have made significant progress in processing and reasoning over knowledge graphs, current methods suffer from a high... large language models https://deepai.org/publication/efficientvlm-fast-and-accurate-vision-language-models-via-knowledge-distillation-and-modal-adaptive-pruning EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and... Oct 14, 2022 - 10/14/22 - Pre-trained vision-language models (VLMs) have achieved impressive results in a range of vision-language tasks. However, popular V... vision language models fast accurate via knowledge https://openreview.net/forum?id=vfsRB5MImo9 Towards Continual Knowledge Learning of Language Models | OpenReview Large Language Models (LMs) are known to encode world knowledge in their parameters as they pretrain on a vast amount of web corpus, which is often utilized... knowledge learning language models towards continual openreview https://research.google/pubs/adapting-language-models-to-temporal-knowledge/ Adapting Language Models to Temporal Knowledge language models adapting temporal knowledge https://openreview.net/forum?id=x9FOu3W6iy&referrer=%5Bthe%20profile%20of%20Xiaoman%20Pan%5D(%2Fprofile%3Fid%3D~Xiaoman_Pan2) Thrust: Adaptively Propels Large Language Models with External Knowledge | OpenReview Although large-scale pre-trained language models (PTLMs) are shown to encode rich knowledge in their model parameters, the inherent knowledge in PTLMs can be... large language models thrust external knowledge openreview https://openreview.net/forum?id=lV80N0fL7J&referrer=%5Bthe%20profile%20of%20David%20Antony%20Selby%5D(%2Fprofile%3Fid%3D~David_Antony_Selby1) Quantitative knowledge retrieval from large language models | OpenReview Large language models (LLMs) have been extensively studied for their abilities to generate convincing natural language sequences, however their utility for... large language models knowledge retrieval quantitative openreview https://arxiv.org/abs/2112.02732 [2112.02732] JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense... Abstract page for arXiv paper 2112.02732: JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering https://openreview.net/forum?id=hGqaYvBHtv&referrer=%5Bthe%20profile%20of%20Rishita%20Anubhai%5D(%2Fprofile%3Fid%3D~Rishita_Anubhai3) BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs | OpenReview foundation models knowledge graphs bridging biomedical via https://openreview.net/forum?id=CrCvGNHAIrz Explainable GNN-Based Models over Knowledge Graphs | OpenReview Graph Neural Networks (GNNs) are often used to learn transformations of graph data. While effective in practice, such approaches make predictions via numeric... knowledge graphs gnn based models openreview https://moresapien.org/ Moresapien - A Free Knowledge Base of Cognitive Biases, Logical Fallacies and Mental Models Moresapien maps out cognitive biases, logical fallacies, manipulation tactics, rhetorical devices and mental models. A free critical thinking resource for... https://aclanthology.org/2022.coling-1.491/ Are Visual-Linguistic Models Commonsense Knowledge Bases? - ACL Anthology Hsiu-Yu Yang, Carina Silberer. Proceedings of the 29th International Conference on Computational Linguistics. 2022. commonsense knowledge bases visual linguistic models acl https://pmc.ncbi.nlm.nih.gov/articles/PMC12083703/ Multimodal Integrated Knowledge Transfer to Large Language Models through Preference Optimization... The scarcity of high-quality multimodal biomedical data limits the ability to effectively fine-tune pretrained Large Language Models (LLMs) for specialized... large language models knowledge transfer multimodal integrated https://www.datacamp.com/id/blog/knowledge-graphs-and-llms Enhancing Large Language Models with Knowledge Graphs | DataCamp Discover how combining knowledge graphs and Large Language Models enhances AI accuracy, real-time responses, and user experiences across various applications. large language models knowledge graphs enhancing datacamp https://mail-archive.com/commits@kie.apache.org/msg31072.html Re: [I] DMN - Business Knowledge Models with Contexts with Decision Tables with one output column... https://aclanthology.org/2025.findings-acl.730/ Imagine to Hear: Auditory Knowledge Generation can be an Effective Assistant for Language Models -... Suho Yoo, Hyunjong Ok, Jaeho Lee. Findings of the Association for Computational Linguistics: ACL 2025. 2025. https://phoenixnap.com/kb/phoenixnap-bare-metal-cloud-billing-models phoenixNAP Bare Metal Cloud Billing Models | Knowledge Base by phoenixNAP Feb 11, 2026 - Read more about phoenixNAP Bare Metal Cloud billing models to learn if you will benefit more from an hourly billed server or a reservation. bare metal cloud billing models knowledge base phoenixnap https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0187-893X2014000300011&lng=es&nrm=iso Development of a Pedagogical Content Knowledge test of chemistry language and models knowledge test development pedagogical content https://aclanthology.org/2024.findings-acl.455/ DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models... Shanbao Qiao, Xuebing Liu, Seung-Hoon Na. Findings of the Association for Computational Linguistics: ACL 2024. 2024. in context editing distillation massive https://www.sintef.no/en/publications/publication/10285311/ Project Execution Models and Knowledge Management - SINTEF project execution knowledge management models sintef https://openreview.net/forum?id=1uufzxsxfL Revisiting Evaluation of Knowledge Base Completion Models | OpenReview We study the shortcomings of link prediction evaluation and provide a new task based on triple classification knowledge base revisiting evaluation completion models https://openreview.net/forum?id=3i6X1618wi Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems | OpenReview Transfer learning for DNN based segmentation between illnesses by learning generative prior in conv-filter space is better than pretrain. generative models knowledge transfer https://www.learnworlds.com/blog/business/knowledge-economy-business-models/ 7 Revenue-Generating Business Models in the Knowledge Economy business models the knowledge 7 revenue generating https://aclanthology.org/2025.acl-long.741/ Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question... Runxuan Liu, Bei Luo, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin. Proceedings of the 63rd Annual Meeting of the Association for... large language models https://aclanthology.org/2024.blackboxnlp-1.35/ Probing Language Models on Their Knowledge Source - ACL Anthology Zineddine Tighidet, Jiali Mei, Benjamin Piwowarski, Patrick Gallinari. Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks... language models knowledge source probing acl anthology