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Explanation Generation
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The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language Inference
Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning Distillation
Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models
SNAPE-PM: Building and Utilizing Dynamic Partner Models for Adaptive Explanation Generation
Towards Budget-Friendly Model-Agnostic Explanation Generation for Large Language Models
Generating Skyline Explanations for Graph Neural Networks
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification
ChartQA-X: Generating Explanations for Charts
TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context
Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset
Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector
Explainable Synthetic Image Detection through Diffusion Timestep Ensembling
EXCLAIM: An Explainable Cross-Modal Agentic System for Misinformation Detection with Hierarchical Retrieval
Reasoning About Persuasion: Can LLMs Enable Explainable Propaganda Detection?
MemeIntel: Explainable Detection of Propagandistic and Hateful Memes
Coherency Improved Explainable Recommendation via Large Language Model
Accelerating Anchors via Specialization and Feature Transformation
Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation Generation
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation
Quantifying Relational Exploration in Cultural Heritage Knowledge Graphs with LLMs: A Neuro-Symbolic Approach
Graph-Guided Textual Explanation Generation Framework
Explainable CTR Prediction via LLM Reasoning
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains
Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
IndMask: Inductive Explanation for Multivariate Time Series Black-Box Models
Augmenting the Veracity and Explanations of Complex Fact Checking via Iterative Self-Revision with LLMs
ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization
Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation Generation
Multimodal Coherent Explanation Generation of Robot Failures
FMDLlama: Financial Misinformation Detection based on Large Language Models
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