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Causal Inference

3310 directly classified papers

Papers per year

Papers

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

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

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

Actors, Frames and Arguments: A Multi-Decade Computational Analysis of Climate Discourse in Financial News using Large Language Models EACL 2026

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

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

Tracking Autism Stigma in Italian Newspapers: A Longitudinal Analysis of Media Discourse (2016–2025) EACL 2026

Thesis Proposal: Stability-Aware, Evidence-Grounded Knowledge Graph for Substance Use Disorders and Social Determinants of Health EACL 2026

Causal Direct Preference Optimization for Language Model Alignment EACL 2026

SymCode: A Neurosymbolic Approach to Mathematical Reasoning via Verifiable Code Generation EACL 2026

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

FOL-Traces: Verified First-Order Logic Reasoning Traces at Scale EACL 2026

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

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

Can you map it to English? The Role of Cross-Lingual Alignment in the Multilingual Performance of LLMs EACL 2026

Causality-Driven Audits of Model Robustness WACV 2026

What’s Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning EACL 2026

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

Evidence Grounding vs. Memorization: Why Neural Semantics Matter for Knowledge Graph Fact Verification EACL 2026

Mitigating Causal Bias in LLMs via Potential Outcomes Framework and Actual Causality Theory EACL 2026

RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion EACL 2026

Doubly Robust Causal Estimation Under Multi-View Network Interference (Student Abstract) AAAI 2026

CausalPulse: Agentic Copilot for Root Cause Analysis in Smart Manufacturing AAAI 2026

Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification EACL 2026

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