SOTAVerified

Explanation Generation

Papers

Showing 76–100 of 235 papers

TitleStatusHype
Cross-Refine: Improving Natural Language Explanation Generation by Learning in TandemCode0
Explanation, Debate, Align: A Weak-to-Strong Framework for Language Model Generalization—0
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection—0
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers—0
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation—0
Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual InformationCode0
Generally-Occurring Model Change for Robust Counterfactual Explanations—0
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI ApproachCode0
Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation—0
ICCV23 Visual-Dialog Emotion Explanation Challenge: SEU_309 Team Technical Report—0
Preference Distillation for Personalized Generative RecommendationCode0
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement LearningCode0
Evaluating Evidence Attribution in Generated Fact Checking ExplanationsCode0
Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate SpeechCode0
Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms—0
On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios—0
Tell Me Why: Explainable Public Health Fact-Checking with Large Language ModelsCode0
Generating Robust Counterfactual Witnesses for Graph Neural Networks—0
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis—0
Using Stratified Sampling to Improve LIME Image ExplanationsCode0
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine ConflictCode0
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks—0
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision TransformersCode0
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VLIS (Lynx)Accuracy80—Unverified
2VLIS (LLaVA)Accuracy73—Unverified
3Ground-truth Caption -> GPT3 (Oracle)Human (%)68—Unverified
4Predicted Caption -> GPT3Human (%)33—Unverified
5BLIP2 FlanT5-XXL (Fine-tuned)Human (%)27—Unverified
6BLIP2 FlanT5-XL (Fine-tuned)Human (%)15—Unverified
7BLIP2 FlanT5-XXL (Zero-shot)Human (%)0—Unverified
#ModelMetricClaimedVerifiedStatus
1PJ-XB487.4—Unverified
2FMB478.8—Unverified
#ModelMetricClaimedVerifiedStatus
1OFA-XHuman Explanation Rating85.7—Unverified
2OFA-X-MTHuman Explanation Rating80.4—Unverified
#ModelMetricClaimedVerifiedStatus
1OFA-X-MTHuman Explanation Rating77.3—Unverified
2OFA-XHuman Explanation Rating68.9—Unverified
#ModelMetricClaimedVerifiedStatus
1OFA-XHuman Explanation Rating89.5—Unverified
2OFA-X-MTHuman Explanation Rating87.8—Unverified