{"total":18,"rows":[{"id":"2406.09008","title":"LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models","created":"2024-06-13","cited_by_count":11,"area":null},{"id":"2411.08534","title":"Neural Topic Modeling with Large Language Models in the Loop","created":"2024-11-13","cited_by_count":10,"area":null},{"id":"2411.12142","title":"A Computational Method for Measuring \"Open Codes\" in Qualitative Analysis","created":"2024-11-19","cited_by_count":6,"area":null},{"id":"2410.15978","title":"PROMPTHEUS: A Human-Centered Pipeline to Streamline SLRs with LLMs","created":"2024-10-21","cited_by_count":4,"area":null},{"id":"2502.07352","title":"Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation","created":"2025-02-11","cited_by_count":4,"area":null},{"id":"2410.15136","title":"CAST: Corpus-Aware Self-similarity Enhanced Topic modelling","created":"2024-10-19","cited_by_count":3,"area":null},{"id":"2507.00828","title":"ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering","created":"2025-07-01","cited_by_count":3,"area":null},{"id":"2511.16309","title":"Sparse Autoencoders are Topic Models","created":"2025-11-20","cited_by_count":3,"area":null},{"id":"2509.07142","title":"Toward Purpose-oriented Topic Model Evaluation enabled by Large Language Models","created":"2025-09-08","cited_by_count":2,"area":null},{"id":"2407.08417","title":"Unveiling the Potential of BERTopic for Multilingual Fake News Analysis -- Use Case: Covid-19","created":"2024-07-11","cited_by_count":1,"area":null},{"id":"2408.12850","title":"Multi-Faceted Question Complexity Estimation Targeting Topic Domain-Specificity","created":"2024-08-23","cited_by_count":1,"area":null},{"id":"2406.09556","title":"$S^3$ -- Semantic Signal Separation","created":"2024-06-13","cited_by_count":0,"area":null},{"id":"2504.14068","title":"Contextual Embedding-based Clustering to Identify Topics for Healthcare Service Improvement","created":"2025-04-18","cited_by_count":0,"area":null},{"id":"2507.19117","title":"Objectifying the Subjective: Cognitive Biases in Topic Interpretations","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2602.17907","title":"Improving Topic Modeling by Distilling Soft Labels from Language Models","created":"2026-02-20","cited_by_count":0,"area":null},{"id":"2603.10619","title":"Disentangling Similarity and Relatedness in Topic Models","created":"2026-03-11","cited_by_count":0,"area":null},{"id":"2605.17714","title":"From Documents to Segments: A Contextual Reformulation for Topic Assignment","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2608.18101","title":"BERTilda: Explainable Topic Lifecycle Tracking with Split/Merge Detection via Similarity-and-Flow Temporal Graphs","created":"2026-06-09","cited_by_count":0,"area":null}],"next_cursor":null}