BRIGHT

Overview BRIGHT is the first open-access, globally distributed, event-diverse multimodal dataset specifically curated to support AI-based disaster response. It covers five types of natural disasters and two types of man-made disasters across 14 regions worldwide, with a particular focus on developing countries. About 4

Papers using BRIGHT (9)

BracketRank: Large Language Model Document Ranking via Reasoning-based Competitive Elimination2026GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs2025Contextual Relevance and Adaptive Sampling for LLM-Based Document Reranking2025LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval2025ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking2025From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval2025REARANK: Reasoning Re-ranking Agent via Reinforcement Learning2025From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval2025JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking2024 · 3 cites