fromHackernoon7 months agoArtificial intelligenceAdditional Results: Cross-Lingual Taxonomy Evaluation and In-Depth Classification Analysis | HackerNoon
fromHackernoon7 months agoScalaTnT-LLM Implementation Details: Pipeline Design, Robustness, and Efficiency | HackerNoon
fromHackernoon7 months agoArtificial intelligenceAdditional Results: Cross-Lingual Taxonomy Evaluation and In-Depth Classification Analysis | HackerNoon
fromHackernoon7 months agoScalaTnT-LLM Implementation Details: Pipeline Design, Robustness, and Efficiency | HackerNoon
Artificial intelligencefromHackernoon7 months agoEvaluating TnT-LLM Text Classification: Human Agreement and Scalable LLM Metrics | HackerNoonReliability in text classification is crucial and can be assessed using multiple annotators and LLMs to align with human consensus.
fromHackernoon7 months agoUX designEvaluating TnT-LLM: Automatic, Human, and LLM-Based Assessment | HackerNoon
fromHackernoon7 months agoBootstrappingTnT-LLM: Automating Text Taxonomy Generation and Classification With Large Language Models | HackerNoon
fromHackernoon7 months agoUX designEvaluating TnT-LLM: Automatic, Human, and LLM-Based Assessment | HackerNoon
fromHackernoon7 months agoBootstrappingTnT-LLM: Automating Text Taxonomy Generation and Classification With Large Language Models | HackerNoon
fromHackernoon7 months agoArtificial intelligenceTnT-LLM: LLMs for Automated Text Taxonomy and Classification | HackerNoonThe study explores using large language models for efficient text classification through pseudo-labeled datasets.
fromcontributor.insightmediagroup.io4 months agoData scienceR.E.D.: Scaling Text Classification with Expert DelegationLLMs handle most classification issues effectively, but surpassing their performance requires advanced algorithms like R.E.D.
Artificial intelligencefromHackernoon7 months agoTnT-LLM: LLMs for Automated Text Taxonomy and Classification | HackerNoonThe study explores using large language models for efficient text classification through pseudo-labeled datasets.
fromcontributor.insightmediagroup.io4 months agoData scienceR.E.D.: Scaling Text Classification with Expert Delegation
BrooklynfromBKReader4 months agoData Annotation: Overview of the Main TypesData annotation is vital for machine learning models, enabling them to learn from raw data effectively.
Data sciencefromHackernoon7 months agoHow Vamstar Identifies Relevant Content for Lots in Tender Documents | HackerNoonThe project focuses on optimizing text content filtering for lot zoning in procurement processes.
