SOTAVerified

Explanation Generation

Papers

Showing 126150 of 235 papers

TitleStatusHype
Motif-guided Time Series Counterfactual Explanations0
Retrieval augmentation of large language models for lay language generationCode1
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI)0
ExPUNations: Augmenting Puns with Keywords and ExplanationsCode0
CLEAR: Generative Counterfactual Explanations on Graphs0
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation0
Explanations from Large Language Models Make Small Reasoners Better0
FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations0
Formal Semantic Geometry over Transformer-based Variational AutoEncoder0
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPTCode0
Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology0
Explaining Patterns in Data with Language Models via Interpretable AutopromptingCode1
Learning to Generate Explanation from e-Hospital Services for Medical SuggestionCode0
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in RecommendationCode0
Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual ExplanationsCode1
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components0
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data0
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations0
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems0
EGCR: Explanation Generation for Conversational Recommendation0
Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives0
Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language ExplanationsCode0
Creating an Explainable Intrusion Detection System Using Self Organizing Maps0
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale ExtractionCode1
NN2Rules: Extracting Rule List from Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VLIS (Lynx)Accuracy80Unverified
2VLIS (LLaVA)Accuracy73Unverified
3Ground-truth Caption -> GPT3 (Oracle)Human (%)68Unverified
4Predicted Caption -> GPT3Human (%)33Unverified
5BLIP2 FlanT5-XXL (Fine-tuned)Human (%)27Unverified
6BLIP2 FlanT5-XL (Fine-tuned)Human (%)15Unverified
7BLIP2 FlanT5-XXL (Zero-shot)Human (%)0Unverified
#ModelMetricClaimedVerifiedStatus
1PJ-XB487.4Unverified
2FMB478.8Unverified
#ModelMetricClaimedVerifiedStatus
1OFA-XHuman Explanation Rating85.7Unverified
2OFA-X-MTHuman Explanation Rating80.4Unverified
#ModelMetricClaimedVerifiedStatus
1OFA-X-MTHuman Explanation Rating77.3Unverified
2OFA-XHuman Explanation Rating68.9Unverified
#ModelMetricClaimedVerifiedStatus
1OFA-XHuman Explanation Rating89.5Unverified
2OFA-X-MTHuman Explanation Rating87.8Unverified