SOTAVerified

Explanation Generation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 235 papers

TitleStatusHype
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
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
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
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems—0
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI)—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