{"total":20,"rows":[{"id":"2410.15319","title":"Causality for Large Language Models","created":"2024-10-20","cited_by_count":25,"area":null},{"id":"2502.07620","title":"Resilient Contrastive Pre-training under Non-Stationary Drift","created":"2025-02-11","cited_by_count":7,"area":null},{"id":"2406.12649","title":"Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models","created":"2024-06-18","cited_by_count":6,"area":null},{"id":"2406.10557","title":"Explain the Black Box for the Sake of Science: the Scientific Method in the Era of Generative Artificial Intelligence","created":"2024-06-15","cited_by_count":5,"area":null},{"id":"2509.19112","title":"Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation","created":"2025-09-23","cited_by_count":4,"area":null},{"id":"2509.23213","title":"One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences","created":"2025-09-27","cited_by_count":4,"area":null},{"id":"2604.14602","title":"CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification","created":"2026-04-16","cited_by_count":3,"area":null},{"id":"2602.01135","title":"Your Autoregressive Model Already Reveals the Causal Graph","created":"2026-02-01","cited_by_count":2,"area":null},{"id":"2405.16219","title":"Structural Disentanglement of Causal and Correlated Concepts","created":"2024-05-25","cited_by_count":1,"area":null},{"id":"2405.18828","title":"CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration","created":"2024-05-29","cited_by_count":1,"area":null},{"id":"2410.04454","title":"Inner-Probe: Discovering Copyright-related Data Generation in LLM Architecture","created":"2024-10-06","cited_by_count":1,"area":null},{"id":"2509.15448","title":"Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems","created":"2025-09-18","cited_by_count":1,"area":null},{"id":"2606.00582","title":"PropLLM: Propagation-Aware Scene Reconstruction for Network Fault Diagnosis","created":"2026-05-30","cited_by_count":1,"area":null},{"id":"2411.13264","title":"Transformers with Sparse Attention for Granger Causality","created":"2024-11-20","cited_by_count":0,"area":null},{"id":"2505.00818","title":"Dual Filter: A Transformer-like Inference Architecture for Hidden Markov Models","created":"2025-05-01","cited_by_count":0,"area":null},{"id":"2511.00341","title":"Reversal Invariance in Autoregressive Language Models","created":"2025-11-01","cited_by_count":0,"area":null},{"id":"2602.06373","title":"ReBeCA: Unveiling Interpretable Behavior Hierarchy behind the Iterative Self-Reflection of Language Models with Causal Analysis","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2605.15608","title":"Transformer-like Inference from Optimal Control","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2609.31801","title":"seq2cause: One Autoregressive Backbone, Four Causal Discovery Tasks in Event Sequences","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.35161","title":"Small transformers track Bayesian evidence for latent common causes via a context-invariant mechanism","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}