SOTAVerified

Explanation Generation

Papers

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Showing 51–100 of 235 papers

TitleStatusHype
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
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?Code1
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
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and BeyondCode1
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
Artwork Explanation in Large-scale Vision Language Models—0
MACRec: a Multi-Agent Collaboration Framework for RecommendationCode2
Unlocking the `Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience—0
Explainability for Machine Learning Models: From Data Adaptability to User Perception—0
Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model ApproachCode0
LLMs for Coding and Robotics Education—0
Sentiment-enhanced Graph-based Sarcasm Explanation in DialogueCode0
Explaining latent representations of generative models with large multimodal models—0
Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems—0
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs—0
Mismatch Quest: Visual and Textual Feedback for Image-Text MisalignmentCode0
Assertion Enhanced Few-Shot Learning: Instructive Technique for Large Language Models to Generate Educational Explanations—0
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge GraphsCode0
InterPrompt: Interpretable Prompting for Interrelated Interpersonal Risk Factors in Reddit Posts—0
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation—0
RecExplainer: Aligning Large Language Models for Explaining Recommendation ModelsCode0
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMsCode1
A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question AnsweringCode1
Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term—0
Counterfactual Explanation Generation with s(CASP)—0
Explaining Interactions Between Text SpansCode0
VLIS: Unimodal Language Models Guide Multimodal Language GenerationCode1
EX-FEVER: A Dataset for Multi-hop Explainable Fact VerificationCode1
XAI Benchmark for Visual Explanation—0
LLM4Vis: Explainable Visualization Recommendation using ChatGPTCode1
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence—0
Towards LLM-guided Causal Explainability for Black-box Text Classifiers—0
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language ModelsCode0
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation GenerationCode1
Reward Engineering for Generating Semi-structured ExplanationCode0
HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-CheckingCode1
Dynamic MOdularized Reasoning for Compositional Structured Explanation Generation—0
A Survey on Interpretable Cross-modal ReasoningCode1
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations—0
RecMind: Large Language Model Powered Agent For Recommendation—0
Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust—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