{"total":70,"rows":[{"id":"2412.05563","title":"A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions","created":"2024-12-07","cited_by_count":121,"area":null},{"id":"2501.00274","title":"LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts","created":"2024-12-31","cited_by_count":87,"area":null},{"id":"2502.10341","title":"Organize the Web: Constructing Domains Enhances Pre-Training Data Curation","created":"2025-02-14","cited_by_count":76,"area":null},{"id":"2307.00524","title":"Large Language Models Enable Few-Shot Clustering","created":"2023-07-02","cited_by_count":72,"area":null},{"id":"2402.02101","title":"Are Large Language Models Good Prompt Optimizers?","created":"2024-02-03","cited_by_count":37,"area":null},{"id":"2406.03807","title":"Tool-Planner: Task Planning with Clusters across Multiple Tools","created":"2024-06-06","cited_by_count":33,"area":"lr"},{"id":"2507.00310","title":"AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise","created":"2025-06-30","cited_by_count":33,"area":null},{"id":"2407.16148","title":"CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support","created":"2024-07-23","cited_by_count":29,"area":null},{"id":"2402.09642","title":"Answer is All You Need: Instruction-following Text Embedding via Answering the Question","created":"2024-02-15","cited_by_count":27,"area":null},{"id":"2408.15836","title":"Knowledge Navigator: LLM-guided Browsing Framework for Exploratory Search in Scientific Literature","created":"2024-08-28","cited_by_count":17,"area":null},{"id":"2410.00927","title":"Text Clustering as Classification with LLMs","created":"2024-09-30","cited_by_count":16,"area":null},{"id":"2312.10897","title":"Generalized Category Discovery with Large Language Models in the Loop","created":"2023-12-18","cited_by_count":15,"area":null},{"id":"2403.05921","title":"OntoChat: a Framework for Conversational Ontology Engineering using Language Models","created":"2024-03-09","cited_by_count":15,"area":null},{"id":"2405.15077","title":"Eliciting Informative Text Evaluations with Large Language Models","created":"2024-05-23","cited_by_count":15,"area":null},{"id":"2310.04678","title":"DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based Queries","created":"2023-10-07","cited_by_count":11,"area":null},{"id":"2310.11753","title":"Bias in Emotion Recognition with ChatGPT","created":"2023-10-18","cited_by_count":11,"area":null},{"id":"2412.09049","title":"Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialogues","created":"2024-12-12","cited_by_count":11,"area":null},{"id":"2408.00447","title":"DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-Exploration","created":"2024-08-01","cited_by_count":10,"area":null},{"id":"2509.19125","title":"Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering","created":"2025-09-23","cited_by_count":10,"area":null},{"id":"2405.00988","title":"Context-Aware Clustering using Large Language Models","created":"2024-05-02","cited_by_count":9,"area":null},{"id":"2505.19240","title":"LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models","created":"2025-05-25","cited_by_count":9,"area":null},{"id":"2504.13834","title":"From Papers to Panoramas: Building Hierarchies of Scientific Literature at Scale","created":"2025-04-18","cited_by_count":8,"area":null},{"id":"2410.05217","title":"Organizing Unstructured Image Collections using Natural Language","created":"2024-10-07","cited_by_count":7,"area":null},{"id":"2410.15019","title":"A Survey of Ontology Expansion for Conversational Understanding","created":"2024-10-19","cited_by_count":6,"area":null},{"id":"2502.18414","title":"GLEAN: Active Generalized Category Discovery with Diverse LLM Feedback","created":"2025-02-25","cited_by_count":6,"area":null},{"id":"2404.11384","title":"Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning","created":"2024-04-17","cited_by_count":4,"area":null},{"id":"2412.11080","title":"Deep Spectral Clustering via Joint Spectral Embedding and Kmeans","created":"2024-12-15","cited_by_count":4,"area":null},{"id":"2502.09667","title":"Summaries as Centroids for Interpretable and Scalable Text Clustering","created":"2025-02-12","cited_by_count":4,"area":null},{"id":"2502.19163","title":"TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency","created":"2025-02-26","cited_by_count":4,"area":"lr"},{"id":"2504.15640","title":"Cequel: Cost-Effective Querying of Large Language Models for Text Clustering","created":"2025-04-22","cited_by_count":3,"area":null},{"id":"2506.09147","title":"LLM-as-a-qualitative-judge: automating error analysis in natural language generation","created":"2025-06-10","cited_by_count":3,"area":null},{"id":"2507.05010","title":"Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification","created":"2025-07-07","cited_by_count":3,"area":null},{"id":"2511.15424","title":"LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering","created":"2025-11-19","cited_by_count":3,"area":null},{"id":"2403.04314","title":"Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders","created":"2024-03-07","cited_by_count":2,"area":null},{"id":"2408.10493","title":"Clustering by Mining Density Distributions and Splitting Manifold Structure","created":"2024-08-20","cited_by_count":2,"area":null},{"id":"2412.13534","title":"Information-Theoretic Generative Clustering of Documents","created":"2024-12-18","cited_by_count":2,"area":null},{"id":"2503.15351","title":"SPILL: Domain-Adaptive Intent Clustering based on Selection and Pooling with Large Language Models","created":"2025-03-19","cited_by_count":2,"area":null},{"id":"2508.04200","title":"Bootstrap Deep Spectral Clustering with Optimal Transport","created":"2025-08-06","cited_by_count":2,"area":null},{"id":"2510.06747","title":"LLMs Enable Bag-of-Texts Representations for Short-Text Clustering","created":"2025-10-08","cited_by_count":2,"area":null},{"id":"2510.19172","title":"When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA","created":"2025-10-22","cited_by_count":2,"area":null},{"id":"2601.01162","title":"Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models","created":"2026-01-03","cited_by_count":2,"area":null},{"id":"2601.11118","title":"Optimized Algorithms for Text Clustering with LLM-Generated Constraints","created":"2026-01-16","cited_by_count":2,"area":null},{"id":"2311.01449","title":"TopicGPT: A Prompt-based Topic Modeling Framework","created":"2023-11-02","cited_by_count":1,"area":null},{"id":"2406.13342","title":"ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models","created":"2024-06-19","cited_by_count":1,"area":null},{"id":"2406.19928","title":"Interactive Topic Models with Optimal Transport","created":"2024-06-28","cited_by_count":1,"area":null},{"id":"2505.09131","title":"Fair Clustering via Alignment","created":"2025-05-14","cited_by_count":1,"area":null},{"id":"2505.15849","title":"What Lives? A meta-analysis of diverse opinions on the definition of life","created":"2025-05-19","cited_by_count":1,"area":null},{"id":"2512.04350","title":"ClusterFusion: Hybrid Clustering with Embedding Guidance and LLM Adaptation","created":"2025-12-04","cited_by_count":1,"area":null},{"id":"2604.03180","title":"PRISM: LLM-Guided Semantic Clustering for High-Precision Topics","created":"2026-04-03","cited_by_count":1,"area":null},{"id":"2605.10328","title":"ANCHOR: Abductive Network Construction with Hierarchical Orchestration for Reliable Probability Inference in Large Language Models","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2410.03738","title":"ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation","created":"2024-10-01","cited_by_count":0,"area":null},{"id":"2412.12459","title":"LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework","created":"2024-12-17","cited_by_count":0,"area":null},{"id":"2508.13404","title":"TASER: Table Agents for Schema-guided Extraction and Recommendation","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2508.18783","title":"Controllable Conversational Theme Detection Track at DSTC 12","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2509.08150","title":"Verbalized Algorithms: Classical Algorithms are All You Need (Mostly)","created":"2025-09-09","cited_by_count":0,"area":null},{"id":"2509.08809","title":"Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals","created":"2025-09-10","cited_by_count":0,"area":"agents"},{"id":"2510.08466","title":"In-Context Clustering with Large Language Models","created":"2025-10-09","cited_by_count":0,"area":null},{"id":"2510.14640","title":"LUMI: Unsupervised Intent Clustering with Multiple Pseudo-Labels","created":"2025-10-16","cited_by_count":0,"area":null},{"id":"2510.21306","title":"PARL: Prompt-based Agents for Reinforcement Learning","created":"2025-10-24","cited_by_count":0,"area":"lr"},{"id":"2512.21715","title":"CATCH: A Controllable Theme Detection Framework with Contextualized Clustering and Hierarchical Generation","created":"2025-12-25","cited_by_count":0,"area":null},{"id":"2602.01933","title":"Large Language Model and Formal Concept Analysis: a comparative study for Topic Modeling","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2602.21509","title":"Fair Model-based Clustering","created":"2026-02-25","cited_by_count":0,"area":null},{"id":"2603.03536","title":"SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems","created":"2026-03-03","cited_by_count":0,"area":"alignment"},{"id":"2603.06991","title":"Adaptive Discovery of Interpretable Audio Attributes with Multimodal LLMs for Low-Resource Classification","created":"2026-03-07","cited_by_count":0,"area":null},{"id":"2606.26277","title":"From Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2606.28328","title":"TextClusterLab: An Integrated Framework for Reliable Text Clustering Studies","created":"2026-05-17","cited_by_count":0,"area":null},{"id":"2608.07881","title":"GRACE: LLM-Grounded Semantic Metric Spaces for Scalable Mixed-Data Clustering","created":"2026-08-08","cited_by_count":0,"area":null},{"id":"2608.11460","title":"Principal Trait Analysis: Towards Deriving \"Skills\" in Human-AI Collaboration","created":"2026-08-11","cited_by_count":0,"area":"agents"},{"id":"2609.24464","title":"RAILS: Retrieval-Augmented Incremental LLM Clustering at Scale","created":"2026-09-21","cited_by_count":0,"area":"rag"},{"id":"2610.19323","title":"TopicMerge: A Divide and Conquer Approach to Topic Modeling","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}