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Interpretability

7318 directly classified papers

Papers per year

Papers

CLARIESG: An End-to-End System for ESG Analysis over Complex Tables in Corporate Reports EACL 2026

Fact Finder - Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs EACL 2026

Simplifying Outcomes of Language Model Component Analyses with ELIA EACL 2026

Similar, but why? A Toolkit for Explaining Text Similarity EACL 2026

EvalSense: A Framework for Domain-Specific LLM (Meta-)Evaluation EACL 2026

Thesis proposal: COGNILENS: Analyzing Cognitive Decline in Language Models for Alzheimer’s Monitoring EACL 2026

Thesis Proposal: Comparing Human and Model Perception of Writing Style under Controlled Perturbations EACL 2026

SAGE: An Agentic Explainer Framework for Interpreting SAE Features in Language Models EACL 2026

Cognitive Effects and Biases in Large Language Models EACL 2026

ART: Adaptive Reasoning Trees for Explainable Claim Verification EACL 2026

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use EACL 2026

Harmful Factuality: LLMs Correcting What They Shouldn’t EACL 2026

KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge EACL 2026

Test-Time Adaptation through Semantically-guided Feature Decomposition for Few-shot Chest X-ray Diagnosis WACV 2026

ChartQA-X: Generating Explanations for Visual Chart Reasoning WACV 2026

Teaching and Critiquing Conceptualization and Operationalization in NLP EACL 2026

VLMs Guided Interpretable Decision Making in Autonomous Driving WACV 2026

Diagnosis of Dysarthria Severity and Explanation Generation Using XAI-Enhanced CLINIC-GENIE on Diadochokinetic Tasks EACL 2026

Tandem Training for Language Models EACL 2026

ENCORE : A Neural Collapse Perspective on Out-of-Distribution Detection in Deep Neural Networks WACV 2026

Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients WACV 2026

Safe Vision-Language Models via Unsafe Weights Manipulation WACV 2026

Bi-ICE: An Inner Interpretable Framework for Image Classification via Bi-directional Interactions between Concept and Input Embeddings WACV 2026

Where is the Watermark? Interpretable Watermark Detection at the Block Level WACV 2026

AuthGuard: Generalizable Deepfake Detection via Language Guidance WACV 2026