{"total":18,"rows":[{"id":"2411.16594","title":"From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge","created":"2024-11-25","cited_by_count":494,"area":null},{"id":"2502.01534","title":"Preference Leakage: A Contamination Problem in LLM-as-a-judge","created":"2025-02-03","cited_by_count":125,"area":null},{"id":"2502.10648","title":"LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization","created":"2025-02-15","cited_by_count":10,"area":null},{"id":"2410.01795","title":"Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models","created":"2024-10-02","cited_by_count":9,"area":null},{"id":"2506.04293","title":"AUTOCT: Automating Interpretable Clinical Trial Prediction with LLM Agents","created":"2025-06-04","cited_by_count":9,"area":null},{"id":"2506.06355","title":"LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment","created":"2025-06-02","cited_by_count":6,"area":null},{"id":"2508.00454","title":"Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple LLM Judges","created":"2025-08-01","cited_by_count":3,"area":null},{"id":"2503.24157","title":"LLM4FS: Leveraging Large Language Models for Feature Selection","created":"2025-03-31","cited_by_count":2,"area":null},{"id":"2509.25207","title":"Multi-level Diagnosis and Evaluation for Robust Tabular Feature Engineering with Large Language Models","created":"2025-09-20","cited_by_count":1,"area":null},{"id":"2505.11772","title":"LAMP: Extracting Local Decision Surfaces From Large Language Models","created":"2025-05-17","cited_by_count":0,"area":null},{"id":"2512.08379","title":"DeepFeature: LLM-Empowered Context-aware Feature Generation for Wearable Biosignals","created":"2025-12-09","cited_by_count":0,"area":null},{"id":"2601.19286","title":"ReToP: Learning to Rewrite Electronic Health Records for Clinical Prediction","created":"2026-01-27","cited_by_count":0,"area":null},{"id":"2601.21410","title":"Learning When to Trust LLM Priors: A Validated Framework for Semantic Prior Integration","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2602.02025","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2603.04417","title":"Same Input, Different Scores: A Multi Model Study on the Inconsistency of LLM Judge","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2605.12139","title":"BoolXLLM: LLM-Assisted Explainability for Boolean Models","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2607.16255","title":"Feature Generation Using LLMs: An Evolutionary Algorithm Approach","created":"2026-06-27","cited_by_count":0,"area":null},{"id":"2608.30086","title":"When Does a Classifier Help an LLM? Classifier-Guided Prompting and Hybrid Classifier-LLM Models for Credit-Default Prediction","created":"2026-08-30","cited_by_count":0,"area":null}],"next_cursor":null}