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Interpretability

7,318 papers

Papers per year

Papers

keepitsimple at SemEval-2025 Task 3: LLM-Uncertainty based Approach for Multilingual Hallucination Span Detection SEMEVAL 2025
UZH at SemEval-2025 Task 3: Token-Level Self-Consistency for Hallucination Detection SEMEVAL 2025
NCL-UoR at SemEval-2025 Task 3: Detecting Multilingual Hallucination and Related Observable Overgeneration Text Spans with Modified RefChecker and Modified SeflCheckGPT SEMEVAL 2025
Hallucination Detectives at SemEval-2025 Task 3: Span-Level Hallucination Detection for LLM-Generated Answers SEMEVAL 2025
HalluRAG-RUG at SemEval-2025 Task 3: Using Retrieval-Augmented Generation for Hallucination Detection in Model Outputs SEMEVAL 2025
uir-cis at SemEval-2025 Task 3: Detection of Hallucinations in Generated Text SEMEVAL 2025
SmurfCat at SemEval-2025 Task 3: Bridging External Knowledge and Model Uncertainty for Enhanced Hallucination Detection SEMEVAL 2025
ATLANTIS at SemEval-2025 Task 3 : Detecting Hallucinated Text Spans in Question Answering SEMEVAL 2025
FENJI at SemEval-2025 Task 3: Retrieval-Augmented Generation and Hallucination Span Detection SEMEVAL 2025
CSECU-Learners at SemEval-2025 Task 9: Enhancing Transformer Model for Explainable Food Hazard Detection in Text SEMEVAL 2025
VerbaNexAI at SemEval-2025 Task 3: Fact Retrieval with Google Snippets for LLM Context Filtering to identify Hallucinations SEMEVAL 2025
JU_NLP at SemEval-2025 Task 7: Leveraging Transformer-Based Models for Multilingual & Crosslingual Fact-Checked Claim Retrieval SEMEVAL 2025
bbStar at SemEval-2025 Task 10: Improving Narrative Classification and Explanation via Fine Tuned Language Models SEMEVAL 2025
clujteam at SemEval-2025 Task 10: Finetuning SmolLM2 with Taxonomy-based Prompting for Explaining the Dominant Narrative in Propaganda Textt SEMEVAL 2025
SemEval-2025 Task 6: Multinational, Multilingual, Multi-Industry Promise Verification SEMEVAL 2025
SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes SEMEVAL 2025
DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection WACV 2025
Structured Human Assessment of Text-to-Image Generative Models WACV 2025
Uncertainty-Aware Regularization for Image-to-Image Translation WACV 2025
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation WACV 2025
PrivateEye: In-Sensor Privacy Preservation Through Optical Feature Separation WACV 2025
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process WACV 2025
Learning Visual-Semantic Hierarchical Attribute Space for Interpretable Open-Set Recognition WACV 2025
Improving Uncertainty Estimation with Confidence-Aware Training Data WACV 2025
Aerial Mirage: Unmasking Hallucinations in Large Vision Language Models WACV 2025