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Causal Inference

3310 directly classified papers

Papers per year

Papers

Do Large Language Models (LLMs) Understand Chronology? (Student Abstract) AAAI 2026

VADER: Towards Causal Video Anomaly Understanding with Relation-Aware Large Language Models WACV 2026

SilverLining: Data-First Mitigation of Spatial and Spectral Shortcuts Without Introducing New Confounders WACV 2026

SceneProp: Combining Neural Network and Markov Random Field for Scene-Graph Grounding WACV 2026

SENCA-st: Integrating Spatial Transcriptomics and Histopathology with Cross Attention Shared Encoder for Region Identification in Cancer Pathology WACV 2026

Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation EACL 2026

Argumentation and Judgement Factors: LLM-based Discovery and Application in Insurance Disputes EACL 2026

Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge EACL 2026

Evaluation of Deontic Conditional Reasoning in Large Language Models: The Case of Wason’s Selection Task EACL 2026

Causal Direct Preference Optimization for Language Model Alignment EACL 2026

LLMs Faithfully and Iteratively Compute Answers During CoT: A Systematic Analysis With Multi-step Arithmetics EACL 2026

Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference EACL 2026

Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning EACL 2026

CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models EACL 2026

SLANG-GraphRAG: Multi-Layered Retrieval with Domain-Specific Knowledge for Low Resource Social Media Conversations EACL 2026

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

Query4Regex: Verifiable Regex Transformation through Formal Operations from NL and DSL Queries EACL 2026

Causal Activation Steering via Sparse Mediation EACL 2026

ILSIC: Corpora for Identifying Indian Legal Statutes from Queries by Laymen EACL 2026

DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT AAAI 2026

Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation AAAI 2026

CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images AAAI 2026

Generating Attribute-Aware Human Motions from Textual Prompt AAAI 2026

I2CD: An Invertible Causal Framework for Compositional Zero-Shot Learning via Disentangle-Compose-Disentangle AAAI 2026

TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference AAAI 2026