SOTAVerified

Explanation Generation

Papers

Showing 101150 of 235 papers

TitleStatusHype
LLMRec: Benchmarking Large Language Models on Recommendation TaskCode1
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data LandscapesCode0
Sustainable transparency in Recommender Systems: Bayesian Ranking of Images for ExplainabilityCode0
Explaining Competitive-Level Programming Solutions using LLMs0
Effects of Explanation Specificity on Passengers in Autonomous Driving0
Multi-source Semantic Graph-based Multimodal Sarcasm Explanation GenerationCode1
Towards Explainable Conversational Recommender SystemsCode1
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning ArchitectureCode0
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language ModelsCode1
Explaining black box text modules in natural language with language modelsCode1
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering0
Explainable Recommender with Geometric Information Bottleneck0
Textual Explanations for Automated Commentary DrivingCode0
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization (extended algorithms and examples)0
Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness ExplanationsCode0
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images0
Parallel Sentence-Level Explanation Generation for Real-World Low-Resource Scenarios0
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering0
Variational Causal Inference Network for Explanatory Visual Question AnsweringCode1
Explanation Regeneration via Information BottleneckCode0
Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language ExplanationsCode1
CodeExp: Explanatory Code Document GenerationCode1
OCTET: Object-aware Counterfactual ExplanationsCode1
Unsupervised Explanation Generation via Correct Instantiations0
Towards Reasoning-Aware Explainable VQA0
Motif-guided Time Series Counterfactual Explanations0
Retrieval augmentation of large language models for lay language generationCode1
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI)0
ExPUNations: Augmenting Puns with Keywords and ExplanationsCode0
CLEAR: Generative Counterfactual Explanations on Graphs0
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation0
Explanations from Large Language Models Make Small Reasoners Better0
FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations0
Formal Semantic Geometry over Transformer-based Variational AutoEncoder0
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPTCode0
Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology0
Explaining Patterns in Data with Language Models via Interpretable AutopromptingCode1
Learning to Generate Explanation from e-Hospital Services for Medical SuggestionCode0
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in RecommendationCode0
Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual ExplanationsCode1
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components0
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data0
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations0
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems0
EGCR: Explanation Generation for Conversational Recommendation0
Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives0
Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language ExplanationsCode0
Creating an Explainable Intrusion Detection System Using Self Organizing Maps0
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale ExtractionCode1
NN2Rules: Extracting Rule List from Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VLIS (Lynx)Accuracy80Unverified
2VLIS (LLaVA)Accuracy73Unverified
3Ground-truth Caption -> GPT3 (Oracle)Human (%)68Unverified
4Predicted Caption -> GPT3Human (%)33Unverified
5BLIP2 FlanT5-XXL (Fine-tuned)Human (%)27Unverified
6BLIP2 FlanT5-XL (Fine-tuned)Human (%)15Unverified
7BLIP2 FlanT5-XXL (Zero-shot)Human (%)0Unverified
#ModelMetricClaimedVerifiedStatus
1PJ-XB487.4Unverified
2FMB478.8Unverified
#ModelMetricClaimedVerifiedStatus
1OFA-XHuman Explanation Rating85.7Unverified
2OFA-X-MTHuman Explanation Rating80.4Unverified
#ModelMetricClaimedVerifiedStatus
1OFA-X-MTHuman Explanation Rating77.3Unverified
2OFA-XHuman Explanation Rating68.9Unverified
#ModelMetricClaimedVerifiedStatus
1OFA-XHuman Explanation Rating89.5Unverified
2OFA-X-MTHuman Explanation Rating87.8Unverified