Verifiable Disaster Storylines and Causal Knowledge Graphs: A Citation-Grounded Pipeline from Heterogeneous Humanitarian Sources
cs.AI, cs.CL
Submitted: 2026-09-01
Updated: 2026-09-13
Code: https://github.com/idecost/StoryLine_KG
Project page: https://idecost.github.io/StoryLine_
Terminology
Sources
- FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM
- A Large-Language-Model Framework for Automated Humanitarian Situation Reporting
- The Llama 3 Herd of Models
- Knowledge Graph Validation
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
- M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
- Evaluating Retrieval Quality in Retrieval-Augmented Generation
- Attribute First, then Generate: Locally-attributable Grounded Text Generation
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