{"total":202,"rows":[{"id":"2103.02582","title":"D'ya like DAGs? A Survey on Structure Learning and Causal Discovery","created":"2021-03-03","cited_by_count":211,"area":null},{"id":"2302.02591","title":"Generative Diffusion Models on Graphs: Methods and Applications","created":"2023-02-06","cited_by_count":81,"area":"diffusion"},{"id":"2302.05087","title":"Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models","created":"2023-02-10","cited_by_count":59,"area":null},{"id":"2101.02032","title":"Socially Responsible AI Algorithms: Issues, Purposes, and Challenges","created":"2021-01-01","cited_by_count":56,"area":null},{"id":"2206.05871","title":"Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition","created":"2022-06-13","cited_by_count":56,"area":null},{"id":"2201.09119","title":"A Causal Lens for Controllable Text Generation","created":"2022-01-22","cited_by_count":45,"area":null},{"id":"2302.05209","title":"A Survey on Causal Reinforcement Learning","created":"2023-02-10","cited_by_count":45,"area":null},{"id":"2106.02881","title":"Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data","created":"2021-06-05","cited_by_count":42,"area":null},{"id":"2108.13134","title":"Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation","created":"2021-08-30","cited_by_count":37,"area":null},{"id":"2409.09822","title":"Causal Inference with Large Language Model: A Survey","created":"2024-09-15","cited_by_count":32,"area":"lr"},{"id":"2506.23270","title":"Token Activation Map to Visually Explain Multimodal LLMs","created":"2025-06-29","cited_by_count":32,"area":"mllm"},{"id":"2410.15319","title":"Causality for Large Language Models","created":"2024-10-20","cited_by_count":25,"area":null},{"id":"2202.02896","title":"Evaluation Methods and Measures for Causal Learning Algorithms","created":"2022-02-07","cited_by_count":23,"area":null},{"id":"2304.01391","title":"Counterfactual Learning on Graphs: A Survey","created":"2023-04-03","cited_by_count":22,"area":null},{"id":"2201.12662","title":"Fair ranking: a critical review, challenges, and future directions","created":"2022-01-29","cited_by_count":21,"area":null},{"id":"2403.00781","title":"ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework","created":"2024-02-18","cited_by_count":20,"area":null},{"id":"2107.05884","title":"Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition","created":"2021-07-13","cited_by_count":19,"area":null},{"id":"2208.09590","title":"Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey","created":"2022-08-20","cited_by_count":19,"area":null},{"id":"2206.05498","title":"A Review of Causality for Learning Algorithms in Medical Image Analysis","created":"2022-06-11","cited_by_count":18,"area":null},{"id":"2405.04160","title":"A Causal Explainable Guardrails for Large Language Models","created":"2024-05-07","cited_by_count":18,"area":"safety"},{"id":"2406.16708","title":"CausalFormer: An Interpretable Transformer for Temporal Causal Discovery","created":"2024-06-24","cited_by_count":17,"area":null},{"id":"2210.03696","title":"LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models","created":"2022-10-07","cited_by_count":16,"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":"2410.04772","title":"From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing","created":"2024-10-07","cited_by_count":15,"area":null},{"id":"2104.10351","title":"Improving Weakly-supervised Object Localization via Causal Intervention","created":"2021-04-21","cited_by_count":14,"area":null},{"id":"2302.00848","title":"Causal Effect Estimation: Recent Advances, Challenges, and Opportunities","created":"2023-02-02","cited_by_count":14,"area":null},{"id":"2302.13083","title":"Knowledge Graph Completion with Counterfactual Augmentation","created":"2023-02-25","cited_by_count":13,"area":null},{"id":"2303.01775","title":"Continual Causal Inference with Incremental Observational Data","created":"2023-03-03","cited_by_count":13,"area":null},{"id":"2211.11482","title":"Applications of statistical causal inference in software engineering","created":"2022-11-21","cited_by_count":12,"area":null},{"id":"2503.02539","title":"Disentangled Knowledge Tracing for Alleviating Cognitive Bias","created":"2025-03-04","cited_by_count":12,"area":null},{"id":"2211.03374","title":"Deep Causal Learning: Representation, Discovery and Inference","created":"2022-11-07","cited_by_count":11,"area":null},{"id":"2305.15984","title":"Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation","created":"2023-05-25","cited_by_count":11,"area":null},{"id":"2308.04011","title":"Generalization bound for estimating causal effects from observational network data","created":"2023-08-08","cited_by_count":11,"area":null},{"id":"2602.08783","title":"Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure","created":"2026-02-09","cited_by_count":11,"area":"lr"},{"id":"2209.08860","title":"A Survey of Deep Causal Models and Their Industrial Applications","created":"2022-09-19","cited_by_count":10,"area":null},{"id":"2212.05778","title":"Instrumental Variables in Causal Inference and Machine Learning: A Survey","created":"2022-12-12","cited_by_count":10,"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":"2202.10885","title":"Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data","created":"2022-02-22","cited_by_count":9,"area":null},{"id":"2304.00668","title":"Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR","created":"2023-04-03","cited_by_count":9,"area":null},{"id":"2305.13715","title":"Covariate balancing using the integral probability metric for causal inference","created":"2023-05-23","cited_by_count":9,"area":null},{"id":"2312.16113","title":"Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction","created":"2023-12-20","cited_by_count":9,"area":"distill"},{"id":"2312.17122","title":"LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model","created":"2023-12-28","cited_by_count":9,"area":"agents"},{"id":"2109.09587","title":"Recommender systems based on graph embedding techniques: A comprehensive review","created":"2021-09-20","cited_by_count":8,"area":null},{"id":"2212.03063","title":"Causal Inference via Style Transfer for Out-of-distribution Generalisation","created":"2022-12-06","cited_by_count":8,"area":null},{"id":"2311.14994","title":"Exploring Causal Learning through Graph Neural Networks: An In-depth Review","created":"2023-11-25","cited_by_count":8,"area":null},{"id":"2407.19789","title":"Interpreting Low-level Vision Models with Causal Effect Maps","created":"2024-07-29","cited_by_count":8,"area":null},{"id":"2204.11206","title":"Partial Identification of Dose Responses with Hidden Confounders","created":"2022-04-24","cited_by_count":7,"area":null},{"id":"2210.03167","title":"FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training","created":"2022-10-06","cited_by_count":7,"area":null},{"id":"2306.09520","title":"Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding","created":"2023-06-15","cited_by_count":7,"area":null},{"id":"2309.13884","title":"Estimating Treatment Effects Under Heterogeneous Interference","created":"2023-09-25","cited_by_count":7,"area":null},{"id":"2310.14975","title":"The WHY in Business Processes: Discovery of Causal Execution Dependencies","created":"2023-10-23","cited_by_count":7,"area":null},{"id":"2402.03379","title":"Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing","created":"2024-02-04","cited_by_count":7,"area":null},{"id":"2403.07279","title":"A Survey of Explainable Knowledge Tracing","created":"2024-03-12","cited_by_count":7,"area":null},{"id":"2409.07880","title":"Non-negative Weighted DAG Structure Learning","created":"2024-09-12","cited_by_count":7,"area":null},{"id":"2203.05123","title":"Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials","created":"2022-03-10","cited_by_count":6,"area":null},{"id":"2211.16246","title":"Causal Inference with Conditional Instruments using Deep Generative Models","created":"2022-11-29","cited_by_count":6,"area":null},{"id":"2301.04020","title":"Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence","created":"2022-12-13","cited_by_count":6,"area":null},{"id":"2302.00293","title":"A Survey of Methods, Challenges and Perspectives in Causality","created":"2023-02-01","cited_by_count":6,"area":null},{"id":"2303.01412","title":"The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation","created":"2023-03-02","cited_by_count":6,"area":null},{"id":"2305.06145","title":"Causal Clothes-Invariant Feature Learning for Cloth-Changing Person Re-ID","created":"2023-05-10","cited_by_count":6,"area":null},{"id":"2502.18239","title":"Unveiling and Causalizing CoT: A Causal Pespective","created":"2025-02-25","cited_by_count":6,"area":"lr"},{"id":"2506.17442","title":"Keeping Medical AI Healthy and Trustworthy: A Review of Detection and Correction Methods for System Degradation","created":"2025-06-20","cited_by_count":6,"area":null},{"id":"2208.10113","title":"Hierarchical Capsule Prediction Network for Marketing Campaigns Effect","created":"2022-08-22","cited_by_count":5,"area":null},{"id":"2211.10805","title":"On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation","created":"2022-11-19","cited_by_count":5,"area":null},{"id":"2303.00244","title":"SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective","created":"2023-03-01","cited_by_count":5,"area":null},{"id":"2403.11219","title":"Causality from Bottom to Top: A Survey","created":"2024-03-17","cited_by_count":5,"area":null},{"id":"2406.19307","title":"The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning","created":"2024-06-27","cited_by_count":5,"area":null},{"id":"2408.09748","title":"Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method","created":"2024-08-19","cited_by_count":5,"area":null},{"id":"2408.11492","title":"Estimating Peer Direct and Indirect Effects in Observational Network Data","created":"2024-08-21","cited_by_count":5,"area":null},{"id":"2408.12803","title":"Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth","created":"2024-08-23","cited_by_count":5,"area":null},{"id":"2412.02155","title":"CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events","created":"2024-12-03","cited_by_count":5,"area":null},{"id":"2106.15206","title":"Domain-Class Correlation Decomposition for Generalizable Person Re-Identification","created":"2021-06-29","cited_by_count":4,"area":null},{"id":"2202.09096","title":"A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics","created":"2022-02-18","cited_by_count":4,"area":null},{"id":"2202.10574","title":"A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets","created":"2022-02-21","cited_by_count":4,"area":null},{"id":"2204.07293","title":"Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees","created":"2022-04-15","cited_by_count":4,"area":null},{"id":"2206.02164","title":"Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference Approach","created":"2022-06-05","cited_by_count":4,"area":null},{"id":"2209.09482","title":"Incorporating Causal Analysis into Diversified and Logical Response Generation","created":"2022-09-20","cited_by_count":4,"area":null},{"id":"2401.00781","title":"Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach","created":"2024-01-01","cited_by_count":4,"area":null},{"id":"2405.08174","title":"Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference","created":"2024-05-13","cited_by_count":4,"area":null},{"id":"2405.15505","title":"Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck","created":"2024-05-24","cited_by_count":4,"area":null},{"id":"2409.05872","title":"CSRec: Rethinking Sequential Recommendation from A Causal Perspective","created":"2024-08-23","cited_by_count":4,"area":null},{"id":"2411.13821","title":"Heterophilic Graph Neural Networks Optimization with Causal Message-passing","created":"2024-11-21","cited_by_count":4,"area":null},{"id":"2502.01538","title":"FedGES: A Federated Learning Approach for BN Structure Learning","created":"2025-02-03","cited_by_count":4,"area":null},{"id":"2502.12707","title":"CausalMan: A physics-based simulator for large-scale causality","created":"2025-02-18","cited_by_count":4,"area":null},{"id":"2505.19474","title":"Causal-LLaVA: Causal Disentanglement for Mitigating Hallucination in Multimodal Large Language Models","created":"2025-05-26","cited_by_count":4,"area":"mllm"},{"id":"2507.22380","title":"Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations","created":"2025-07-30","cited_by_count":4,"area":"offlinerl"},{"id":"2102.03980","title":"Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference","created":"2021-02-08","cited_by_count":3,"area":null},{"id":"2110.01746","title":"Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication","created":"2021-10-04","cited_by_count":3,"area":null},{"id":"2201.05216","title":"The Fairness Field Guide: Perspectives from Social and Formal Sciences","created":"2022-01-13","cited_by_count":3,"area":null},{"id":"2210.12367","title":"Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation","created":"2022-10-22","cited_by_count":3,"area":null},{"id":"2303.07122","title":"Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference","created":"2023-02-22","cited_by_count":3,"area":null},{"id":"2307.09700","title":"The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects","created":"2023-07-19","cited_by_count":3,"area":null},{"id":"2311.03989","title":"Learned Causal Method Prediction","created":"2023-11-07","cited_by_count":3,"area":null},{"id":"2403.00880","title":"CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learning","created":"2024-03-01","cited_by_count":3,"area":null},{"id":"2407.14022","title":"Causal Inference with Complex Treatments: A Survey","created":"2024-07-19","cited_by_count":3,"area":null},{"id":"2408.17053","title":"Estimating Conditional Average Treatment Effects via Sufficient Representation Learning","created":"2024-08-30","cited_by_count":3,"area":null},{"id":"2408.17183","title":"Causal Reasoning in Software Quality Assurance: A Systematic Review","created":"2024-08-30","cited_by_count":3,"area":null},{"id":"2411.11256","title":"Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation","created":"2024-11-18","cited_by_count":3,"area":null},{"id":"2605.19947","title":"Exploiting Non-Negativity in DAG Structure Learning","created":"2026-05-19","cited_by_count":3,"area":null},{"id":"2203.08570","title":"Undersmoothing Causal Estimators with Generative Trees","created":"2022-03-16","cited_by_count":2,"area":null}],"next_cursor":"100"}