SOTAVerified

Explanation Generation

Papers

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Showing 101–150 of 235 papers

TitleStatusHype
ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization—0
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation—0
Generally-Occurring Model Change for Robust Counterfactual Explanations—0
Generate Natural Language Explanations for Recommendation—0
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths—0
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach—0
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence—0
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing—0
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering—0
Towards Budget-Friendly Model-Agnostic Explanation Generation for Large Language Models—0
Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention—0
Generating Robust Counterfactual Witnesses for Graph Neural Networks—0
Generating Skyline Explanations for Graph Neural Networks—0
A Framework of Explanation Generation toward Reliable Autonomous Robots—0
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems—0
Graph-Guided Textual Explanation Generation Framework—0
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification—0
CLEAR: Generative Counterfactual Explanations on Graphs—0
ChartQA-X: Generating Explanations for Charts—0
Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation—0
Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations—0
Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations—0
How to Do Human Evaluation: Best Practices for User Studies in NLP—0
ICCV23 Visual-Dialog Emotion Explanation Challenge: SEU_309 Team Technical Report—0
Implementing Evidential Reasoning in Expert Systems—0
Improving Personalized Explanation Generation through Visualization—0
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI)—0
A Framework for Rationale Extraction for Deep QA models—0
In Search for a SAT-friendly Binarized Neural Network Architecture—0
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations—0
Interpretability of Blackbox Machine Learning Models through Dataview Extraction and Shadow Model creation—0
InterPrompt: Interpretable Prompting for Interrelated Interpersonal Risk Factors in Reddit Posts—0
Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term—0
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks—0
Causal Screening to Interpret Graph Neural Networks—0
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes—0
Towards Reasoning-Aware Explainable VQA—0
A Framework for Generating Explanations from Temporal Personal Health Data—0
Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks—0
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images—0
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation—0
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection—0
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models—0
Towards LLM-guided Causal Explainability for Black-box Text Classifiers—0
LLMs for Coding and Robotics Education—0
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs—0
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems—0
MemeIntel: Explainable Detection of Propagandistic and Hateful Memes—0
Truth Table Deep Convolutional Neural Network, A New SAT-Encodable Architecture - Application To Complete Robustness—0
Mixed Logical and Probabilistic Reasoning for Planning and Explanation Generation in Robotics—0
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All datasetsWHOOPS!CLEVR-Xe-SNLI-VEVCRVQA-X

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