{"total":56,"rows":[{"id":"2305.00050","title":"Causal Reasoning and Large Language Models: Opening a New Frontier for Causality","created":"2023-04-28","cited_by_count":353,"area":"lr"},{"id":"2302.06692","title":"Guiding Pretraining in Reinforcement Learning with Large Language Models","created":"2023-02-13","cited_by_count":187,"area":null},{"id":"2307.02390","title":"Causal Discovery with Language Models as Imperfect Experts","created":"2023-07-05","cited_by_count":64,"area":null},{"id":"2306.16902","title":"Integrating Large Language Model for Improved Causal Discovery","created":"2023-06-29","cited_by_count":54,"area":null},{"id":"2402.01207","title":"Efficient Causal Graph Discovery Using Large Language Models","created":"2024-02-02","cited_by_count":53,"area":null},{"id":"2310.15117","title":"Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference","created":"2023-10-23","cited_by_count":48,"area":null},{"id":"2305.13264","title":"Prompting is not a substitute for probability measurements in large language models","created":"2023-05-22","cited_by_count":44,"area":null},{"id":"2408.12025","title":"Exploring Large Language Models for Feature Selection: A Data-centric Perspective","created":"2024-08-21","cited_by_count":27,"area":null},{"id":"2407.15073","title":"Multi-Agent Causal Discovery Using Large Language Models","created":"2024-07-21","cited_by_count":26,"area":"agents"},{"id":"2309.04344","title":"Zero-Shot Robustification of Zero-Shot Models","created":"2023-09-08","cited_by_count":24,"area":null},{"id":"2405.13551","title":"Large Language Models are Effective Priors for Causal Graph Discovery","created":"2024-05-22","cited_by_count":24,"area":null},{"id":"2411.10478","title":"Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey","created":"2024-11-11","cited_by_count":19,"area":null},{"id":"2402.15301","title":"Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models","created":"2024-02-23","cited_by_count":16,"area":"rag"},{"id":"2502.15224","title":"Auto-Discovery-Bench: Diagnosing Structured State Tracking in Oracle-Guided Discovery","created":"2025-02-21","cited_by_count":16,"area":null},{"id":"2402.01874","title":"The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models","created":"2024-02-02","cited_by_count":15,"area":null},{"id":"2411.17284","title":"AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling","created":"2024-11-26","cited_by_count":15,"area":null},{"id":"2302.02801","title":"LaMPP: Language Models as Probabilistic Priors for Perception and Action","created":"2023-02-03","cited_by_count":11,"area":null},{"id":"2301.12351","title":"Emerging Synergies in Causality and Deep Generative Models: A Survey","created":"2023-01-29","cited_by_count":10,"area":null},{"id":"2309.17176","title":"AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback","created":"2023-09-29","cited_by_count":10,"area":null},{"id":"2402.03941","title":"Discovering and Reasoning of Causality in the Hidden World with Large Language Models","created":"2024-02-06","cited_by_count":10,"area":"lr"},{"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":"2402.06733","title":"NICE: To Optimize In-Context Examples or Not?","created":"2024-02-09","cited_by_count":9,"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":"2505.06079","title":"TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations","created":"2025-05-09","cited_by_count":7,"area":"alignment"},{"id":"2406.07381","title":"World Models with Hints of Large Language Models for Goal Achieving","created":"2024-06-11","cited_by_count":6,"area":"wm"},{"id":"2308.13542","title":"LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying","created":"2023-08-21","cited_by_count":5,"area":null},{"id":"2503.17569","title":"Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring","created":"2025-03-21","cited_by_count":5,"area":null},{"id":"2505.16288","title":"No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery","created":"2025-05-22","cited_by_count":5,"area":"agents"},{"id":"2505.23537","title":"Domain-Aware Tensor Network Structure Search","created":"2025-05-29","cited_by_count":5,"area":null},{"id":"2511.00574","title":"Bayesian Network Structure Discovery Using Large Language Models","created":"2025-11-01","cited_by_count":5,"area":null},{"id":"2505.15793","title":"HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving","created":"2025-05-21","cited_by_count":4,"area":"driving"},{"id":"2410.10728","title":"Towards LLM-guided Efficient and Interpretable Multi-linear Tensor Network Rank Selection","created":"2024-10-14","cited_by_count":3,"area":null},{"id":"2412.10982","title":"MedG-KRP: Medical Graph Knowledge Representation Probing","created":"2024-12-14","cited_by_count":2,"area":null},{"id":"2502.13132","title":"Learning to Defer for Causal Discovery with Imperfect Experts","created":"2025-02-18","cited_by_count":2,"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":"2505.10861","title":"Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM","created":"2025-05-16","cited_by_count":2,"area":null},{"id":"2509.00987","title":"Causal MAS: A Survey of Large Language Model Architectures for Discovery and Effect Estimation","created":"2025-08-31","cited_by_count":2,"area":"agents"},{"id":"2603.11679","title":"LLMs can construct powerful representations and streamline sample-efficient supervised learning","created":"2026-03-12","cited_by_count":2,"area":null},{"id":"2410.08710","title":"Preferential Normalizing Flows","created":"2024-10-11","cited_by_count":1,"area":"alignment"},{"id":"2506.03444","title":"Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior","created":"2025-06-03","cited_by_count":1,"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":"2511.11883","title":"ClinStructor: AI-Powered Structuring of Unstructured Clinical Texts","created":"2025-11-14","cited_by_count":1,"area":null},{"id":"2601.06147","title":"LLM Flow Processes for Text-Conditioned Regression","created":"2026-01-05","cited_by_count":1,"area":null},{"id":"2601.18620","title":"CASSANDRA: Programmatic and Probabilistic Learning and Inference for Stochastic World Modeling","created":"2026-01-26","cited_by_count":1,"area":"wm"},{"id":"2603.24979","title":"LLM-Driven Reasoning for Constraint-Aware Feature Selection in Industrial Systems","created":"2026-03-26","cited_by_count":1,"area":"lr"},{"id":"2311.11212","title":"Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?","created":"2023-11-19","cited_by_count":0,"area":"lr"},{"id":"2504.08768","title":"Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation","created":"2025-04-01","cited_by_count":0,"area":"rag"},{"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":"2602.09851","title":"CoFEH: LLM-driven Feature Engineering Empowered by Collaborative Bayesian Hyperparameter Optimization","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2605.23102","title":"LLM Sparsity Prior for Robust Feature Selection","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2605.27281","title":"Supervised Learning Objectives for High-Dimensional Treatment Effects","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2606.18812","title":"Reinforcement Learning Foundation Models Should Already Be A Thing","created":"2026-06-17","cited_by_count":0,"area":"deeprl"},{"id":"2608.28408","title":"SymboLLM-FE: LLM-Accelerated Symbolic Regression for Automated Feature Engineering on Tabular Data","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2609.13805","title":"LLM-Enhanced Multi-Agent Reinforcement Learning for Unified Electric Vehicles-Charging Station-Grid Optimization in Public Charging Systems","created":"2026-09-12","cited_by_count":0,"area":"agents"}],"next_cursor":null}