SOTAVerified

Explanation Generation

Papers

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Showing 151–200 of 235 papers

TitleStatusHype
Motif-guided Time Series Counterfactual Explanations—0
Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with Declarative Facts—0
Unlocking the `Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience—0
Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation—0
Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models—0
Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation—0
Balancing Explicability and Explanation in Human-Aware Planning—0
Unsupervised Explanation Generation for Machine Reading Comprehension—0
Not all users are the same: Providing personalized explanations for sequential decision making problems—0
Automatic Claim Review for Climate Science via Explanation Generation—0
On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios—0
Online Explanation Generation for Human-Robot Teaming—0
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis—0
Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming—0
Parallel Sentence-Level Explanation Generation for Real-World Low-Resource Scenarios—0
Parameterized Explanations for Investor / Company Matching—0
Plan Explanations as Model Reconciliation -- An Empirical Study—0
Unsupervised Explanation Generation via Correct Instantiations—0
Progressive Explanation Generation for Human-robot Teaming—0
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions—0
Quantifying Relational Exploration in Cultural Heritage Knowledge Graphs with LLMs: A Neuro-Symbolic Approach—0
Formal Semantic Geometry over Transformer-based Variational AutoEncoder—0
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations—0
A Deep Generative XAI Framework for Natural Language Inference Explanations Generation—0
Reasoning About Persuasion: Can LLMs Enable Explainable Propaganda Detection?—0
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models—0
RecMind: Large Language Model Powered Agent For Recommendation—0
Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation—0
Augmenting the Veracity and Explanations of Complex Fact Checking via Iterative Self-Revision with LLMs—0
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers—0
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations—0
A Three-step Method for Multi-Hop Inference Explanation Regeneration—0
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset—0
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data—0
Assertion Enhanced Few-Shot Learning: Instructive Technique for Large Language Models to Generate Educational Explanations—0
YNU-oxz at SemEval-2020 Task 4: Commonsense Validation Using BERT with Bidirectional GRU—0
Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms—0
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains—0
Artwork Explanation in Large-scale Vision Language Models—0
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components—0
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection—0
Are We On The Same Page? Hierarchical Explanation Generation for Planning Tasks in Human-Robot Teaming using Reinforcement Learning—0
What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks—0
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations—0
Dynamic MOdularized Reasoning for Compositional Structured Explanation Generation—0
Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems—0
Effects of Explanation Specificity on Passengers in Autonomous Driving—0
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization (extended algorithms and examples)—0
EGCR: Explanation Generation for Conversational Recommendation—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