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Causal Inference

3310 directly classified papers

Papers per year

Papers

Vinclat: Evaluating Reasoning, Cognition and Culture in One Game EACL 2026

Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model AAAI 2026

Interpolated Stochastic Interventions Based on Propensity Scores, Target Policies and Treatment-Specific Costs AAAI 2026

Potential Outcome Rankings for Counterfactual Decision Making AAAI 2026

Robust Causal Discovery Under Imperfect Structural Constraints AAAI 2026

The Alignment Game: A Theory of Long-Horizon Alignment Through Recursive Curation AAAI 2026

Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought EACL 2026

Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance AAAI 2026

Beyond World Models: Rethinking Understanding in AI Models AAAI 2026

Knowledge Boundary Discovery for Large Language Models AAAI 2026

GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents AAAI 2026

Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention AAAI 2026

Decoupling Knowledge and Reasoning in LLMs: An Exploration Using Cognitive Dual-System Theory AAAI 2026

OncoCoT: A Temporal-causal Chain-of-Thought Dataset for Oncologic Decision-Making AAAI 2026

ORACLE: Optimizing Reasoning Abilities of Large Language Models via Constraint-Led Synthetic Data Elicitation AAAI 2026

Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation AAAI 2026

Mitigating Hallucinations in Large Language Models via Causal Reasoning AAAI 2026

NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models AAAI 2026

A Boundary Token Graph for Zero-Shot Relation Triplet Extraction Involving Discontinuous Entities AAAI 2026

Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models AAAI 2026

Multi-granularity Temporal Knowledge Editing over Large Language Models AAAI 2026

RECoRD: A Multi-Agent LLM Framework for Reverse Engineering Codebase to Relational Diagram AAAI 2026

Group Causal Policy Optimization for Post-Training Large Language Models AAAI 2026

Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics AAAI 2026

CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations AAAI 2026