Imagen de Portada

CausalReasoningBenchmark: A Real-World Benchmark for Disentangled Evaluation of Causal Identification and Estimation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sawarni, Ayush, Tan, Jiyuan, Syrgkanis, Vasilis
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Consistency of Neural Causal Partial Identification
por: Tan, Jiyuan, et al.
Publicado: (2024)

Preference Learning with Response Time: Robust Losses and Guarantees
por: Sawarni, Ayush, et al.
Publicado: (2025)

Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
por: Jin, Jikai, et al.
Publicado: (2023)

Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation
por: Mahajan, Divyat, et al.
Publicado: (2022)

Statistical Inference and Learning for Shapley Additive Explanations (SHAP)
por: Whitehouse, Justin, et al.
Publicado: (2026)

Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning
por: Jin, Jikai, et al.
Publicado: (2025)

Adaptive Estimation and Inference in Conditional Moment Models via the Discrepancy Principle
por: Tan, Jiyuan, et al.
Publicado: (2026)

Policy Learning with Abstention
por: Sawarni, Ayush, et al.
Publicado: (2025)

NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise
por: Xu, Zhi, et al.
Publicado: (2026)

CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos
por: Li, Xuchen, et al.
Publicado: (2025)

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning
por: Vo, Vy, et al.
Publicado: (2025)

Partial Identification of Policy-Relevant Treatment Effects with Instrumental Variables via Optimal Transport
por: Tan, Jiyuan, et al.
Publicado: (2026)

Towards a Benchmark for Causal Business Process Reasoning with LLMs
por: Fournier, Fabiana, et al.
Publicado: (2024)

Estimation of Treatment Effects in Extreme and Unobserved Data
por: Tan, Jiyuan, et al.
Publicado: (2025)

Envision: Benchmarking Unified Understanding & Generation for Causal World Process Insights
por: Tian, Juanxi, et al.
Publicado: (2025)

CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
por: Komanduri, Aneesh, et al.
Publicado: (2025)

InterveneBench: Benchmarking LLMs for Intervention Reasoning and Causal Study Design in Real Social Systems
por: Shi, Shaojie, et al.
Publicado: (2026)

Direct Preference Optimization with Unobserved Preference Heterogeneity: The Necessity of Ternary Preferences
por: Chidambaram, Keertana, et al.
Publicado: (2025)

CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning
por: Panayiotou, Panayiotis, et al.
Publicado: (2025)

CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching
por: Wang, Yuzhe, et al.
Publicado: (2026)

OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework
por: Zhou, Wei, et al.
Publicado: (2024)

Causal Q-Aggregation for CATE Model Selection
por: Lan, Hui, et al.
Publicado: (2023)

CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video Models
por: Foss, Aaron, et al.
Publicado: (2025)

CausalARC: Abstract Reasoning with Causal World Models
por: Maasch, Jacqueline, et al.
Publicado: (2025)

TIME: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios
por: Wei, Shaohang, et al.
Publicado: (2025)

Bucketing the Good Apples: A Method for Diagnosing and Improving Causal Abstraction
por: Puyin, Li, et al.
Publicado: (2026)

Disentangled Double Machine Learning for Accurate Causal Effect Estimation
por: Xiang, Guodu, et al.
Publicado: (2026)

Hybrid Causal Identification and Causal Mechanism Clustering
por: Liu, Saixiong, et al.
Publicado: (2025)

Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning
por: Li, Fangjun, et al.
Publicado: (2024)

EconCausal: A Context-Aware Economic Reasoning Benchmark for Large Language Models
por: Lee, Donggyu, et al.
Publicado: (2025)

Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
por: Liu, Xiao, et al.
Publicado: (2024)

Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework
por: Tu, Ruibo, et al.
Publicado: (2024)

Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Discern Causal Links Across Modalities
por: Li, Zhiyuan, et al.
Publicado: (2024)

Towards efficient representation identification in supervised learning
por: Ahuja, Kartik, et al.
Publicado: (2022)

Causal-LLaVA: Causal Disentanglement for Mitigating Hallucination in Multimodal Large Language Models
por: Hu, Xinmiao, et al.
Publicado: (2025)

Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios
por: Castri, Luca, et al.
Publicado: (2024)

Disentangled Representations for Causal Cognition
por: Torresan, Filippo, et al.
Publicado: (2024)

C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought Reasoning
por: Mittal, Avni, et al.
Publicado: (2026)

A Benchmark of Causal vs. Correlation AI for Predictive Maintenance
por: Dhande, Shaunak, et al.
Publicado: (2025)

Com$^2$: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models
por: Xiong, Kai, et al.
Publicado: (2025)