SOTAVerified

Explanation Generation

Papers

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Showing 51–100 of 235 papers

TitleStatusHype
TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context—0
Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset—0
Explainable Synthetic Image Detection through Diffusion Timestep Ensembling—0
EXCLAIM: An Explainable Cross-Modal Agentic System for Misinformation Detection with Hierarchical Retrieval—0
MemeIntel: Explainable Detection of Propagandistic and Hateful Memes—0
Reasoning About Persuasion: Can LLMs Enable Explainable Propaganda Detection?—0
Coherency Improved Explainable Recommendation via Large Language Model—0
Accelerating Anchors via Specialization and Feature Transformation—0
Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation GenerationCode0
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasksCode0
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models—0
Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation—0
Quantifying Relational Exploration in Cultural Heritage Knowledge Graphs with LLMs: A Neuro-Symbolic Approach—0
Graph-Guided Textual Explanation Generation Framework—0
Explainable CTR Prediction via LLM Reasoning—0
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains—0
Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks—0
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations—0
IndMask: Inductive Explanation for Multivariate Time Series Black-Box ModelsCode0
Augmenting the Veracity and Explanations of Complex Fact Checking via Iterative Self-Revision with LLMs—0
ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization—0
Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation GenerationCode0
Multimodal Coherent Explanation Generation of Robot FailuresCode0
FMDLlama: Financial Misinformation Detection based on Large Language ModelsCode0
Beyond Persuasion: Towards Conversational Recommender System with Credible ExplanationsCode0
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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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