SOTAVerified

Explanation Generation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 235 papers

TitleStatusHype
TE2Rules: Explaining Tree Ensembles using RulesCode1
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and ModelsCode1
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems—0
Textual Explanations and Critiques in Recommendation Systems—0
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasksCode1
Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation—0
Explainable Assessment of Healthcare Articles with QA—0
Improving Personalized Explanation Generation through Visualization—0
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes—0
CLEVR-X: A Visual Reasoning Dataset for Natural Language ExplanationsCode1
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning—0
REX: Reasoning-aware and Grounded ExplanationCode1
Counterfactual Explanations for Predictive Business Process Monitoring—0
Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with Declarative Facts—0
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing—0
Generating High-Quality Explanations for Navigation in Partially-Revealed EnvironmentsCode0
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning—0
A Deep Generative XAI Framework for Natural Language Inference Explanations Generation—0
Counterfactual Explanations for Models of CodeCode0
Parameterized Explanations for Investor / Company Matching—0
Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation—0
Explainable Assessment of Healthcare Articles with QA—0
A Framework for Rationale Extraction for Deep QA models—0
Truth Table Deep Convolutional Neural Network, A New SAT-Encodable Architecture - Application To Complete Robustness—0
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy LogicCode0
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations—0
Diagnostics-Guided Explanation Generation—0
Are Training Resources Insufficient? Predict First Then Explain!—0
AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal ExplanationsCode1
A Framework for Learning Ante-hoc Explainable Models via ConceptsCode0
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis ModelCode1
Explanations for CommonsenseQA: New Dataset and Models—0
Automatic Claim Review for Climate Science via Explanation Generation—0
Explainable Debugger for Black-box Machine Learning ModelsCode0
How to Do Human Evaluation: Best Practices for User Studies in NLP—0
Not all users are the same: Providing personalized explanations for sequential decision making problems—0
An Information Retrieval Approach to Building Datasets for Hate Speech DetectionCode0
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach—0
A Three-step Method for Multi-Hop Inference Explanation Regeneration—0
Generating High-Quality Explanations for Navigation in Partially-Revealed EnvironmentsCode0
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural NetworksCode1
A Framework of Explanation Generation toward Reliable Autonomous Robots—0
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards—0
Faithfully Explainable Recommendation via Neural Logic ReasoningCode1
Explanation as a Defense of Recommendation—0
Explain and Predict, and then Predict AgainCode1
Generate Natural Language Explanations for Recommendation—0
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering—0
Causal Screening to Interpret Graph Neural Networks—0
Are We On The Same Page? Hierarchical Explanation Generation for Planning Tasks in Human-Robot Teaming using Reinforcement Learning—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