fromHackernoon8 months agoArtificial intelligenceAdditional Results: Cross-Lingual Taxonomy Evaluation and In-Depth Classification Analysis | HackerNoon
fromHackernoon8 months agoScalaTnT-LLM Implementation Details: Pipeline Design, Robustness, and Efficiency | HackerNoon
fromHackernoon8 months agoArtificial intelligenceAdditional Results: Cross-Lingual Taxonomy Evaluation and In-Depth Classification Analysis | HackerNoon
fromHackernoon8 months agoScalaTnT-LLM Implementation Details: Pipeline Design, Robustness, and Efficiency | HackerNoon
Artificial intelligencefromHackernoon8 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.
fromHackernoon8 months agoUX designEvaluating TnT-LLM: Automatic, Human, and LLM-Based Assessment | HackerNoon
fromHackernoon8 months agoBootstrappingTnT-LLM: Automating Text Taxonomy Generation and Classification With Large Language Models | HackerNoon
fromHackernoon8 months agoUX designEvaluating TnT-LLM: Automatic, Human, and LLM-Based Assessment | HackerNoon
fromHackernoon8 months agoBootstrappingTnT-LLM: Automating Text Taxonomy Generation and Classification With Large Language Models | HackerNoon
Artificial intelligencefromHackernoon8 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.
