SOTAVerified

Explanation Generation

Papers

Showing 176200 of 235 papers

TitleStatusHype
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations0
Interpretability of Blackbox Machine Learning Models through Dataview Extraction and Shadow Model creation0
InterPrompt: Interpretable Prompting for Interrelated Interpersonal Risk Factors in Reddit Posts0
Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term0
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks0
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation0
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection0
Towards LLM-guided Causal Explainability for Black-box Text Classifiers0
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement LearningCode0
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge GraphsCode0
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision TransformersCode0
Tell Me Why: Explainable Public Health Fact-Checking with Large Language ModelsCode0
Generating High-Quality Explanations for Navigation in Partially-Revealed EnvironmentsCode0
Generating High-Quality Explanations for Navigation in Partially-Revealed EnvironmentsCode0
Preference Distillation for Personalized Generative RecommendationCode0
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in RecommendationCode0
Explainable Debugger for Black-box Machine Learning ModelsCode0
Textual Explanations for Automated Commentary DrivingCode0
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI ApproachCode0
Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action RulesCode0
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-CheckingCode0
IndMask: Inductive Explanation for Multivariate Time Series Black-Box ModelsCode0
A Framework for Learning Ante-hoc Explainable Models via ConceptsCode0
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data LandscapesCode0
Beyond Persuasion: Towards Conversational Recommender System with Credible ExplanationsCode0
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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