← Core AI
Artificial Intelligence › Core AI ›

Interpretability

7318 directly classified papers

Papers per year

Papers

On Localizing and Deleting Toxic Memories in Large Language Models NAACL 2025
Classic4Children: Adapting Chinese Literary Classics for Children with Large Language Model NAACL 2025
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models EMNLP 2025
COGUMELO at SemEval-2025 Task 3: A Synthetic Approach to Detecting Hallucinations in Language Models based on Named Entity Recognition ACL 2025
Analyzing (In)Abilities of SAEs via Formal Languages NAACL 2025
Analyzing the Inner Workings of Transformers in Compositional Generalization NAACL 2025
FiRC-NLP at SemEval-2025 Task 3: Exploring Prompting Approaches for Detecting Hallucinations in LLMs ACL 2025
TaeBench: Improving Quality of Toxic Adversarial Examples NAACL 2025
Linear Relational Decoding of Morphology in Language Models NAACL 2025
Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models NAACL 2025
EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models EMNLP 2025
Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs EMNLP 2025
ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning EMNLP 2025
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation NAACL 2025
Explainability and Interpretability of Multilingual Large Language Models: A Survey EMNLP 2025
Threading the Needle: Reweaving Chain-of-Thought Reasoning to Explain Human Label Variation EMNLP 2025
Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework EMNLP 2025
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation NAACL 2025
How Do Large Vision-Language Models See Text in Image? Unveiling the Distinctive Role of OCR Heads EMNLP 2025
Counterfactual Explanations for Continuous Action Reinforcement Learning IJCAI 2025
Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions EMNLP 2025
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement IJCAI 2025
A Graph-Theoretical Framework for Analyzing the Behavior of Causal Language Models EMNLP 2025
NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines IJCAI 2025
PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims EMNLP 2025