f1 score
A performance metric that combines precision and recall into a single score, widely used to evaluate classification models. It provides a balance between false positives and false negatives, particularly in datasets with imbalanced classes.
- A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
- A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection
- Delving into Large Language Models for Effective Time-Series Anomaly Detection
- EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks
- GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
- Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
- PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning
- Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning