SOTAVerified

Explanation Generation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 235 papers

TitleStatusHype
Coherency Improved Explainable Recommendation via Large Language Model—0
Counterfactual Explanation Generation with s(CASP)—0
Counterfactual Explanations for Predictive Business Process Monitoring—0
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations—0
Creating an Explainable Intrusion Detection System Using Self Organizing Maps—0
Diagnostics-Guided Explanation Generation—0
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering—0
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards—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
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks—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
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
Accelerating Anchors via Specialization and Feature Transformation—0
MemeIntel: Explainable Detection of Propagandistic and Hateful Memes—0
Mixed Logical and Probabilistic Reasoning for Planning and Explanation Generation in Robotics—0
Motif-guided Time Series Counterfactual Explanations—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
Not all users are the same: Providing personalized explanations for sequential decision making problems—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
Progressive Explanation Generation for Human-robot Teaming—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
Reasoning About Persuasion: Can LLMs Enable Explainable Propaganda Detection?—0
RecMind: Large Language Model Powered Agent For Recommendation—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
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains—0
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection—0
TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context—0
Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions—0
Textual Explanations and Critiques in Recommendation Systems—0
The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems—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
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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