BRIGHT

BRIGHT benchmark BRIGHT is the first text retrieval benchmark that requires intensive reasoning to retrieve relevant documents. The queries are collected from diverse domains (StackExchange, LeetCode, and math competitions), all sourced from realistic human data. Experiments show that existing retrieval models perform

Papers using BRIGHT (10)

RankEvolve: Automating the Discovery of Retrieval Algorithms via LLM-Driven Evolution2026BracketRank: Large Language Model Document Ranking via Reasoning-based Competitive Elimination2026Contextual Relevance and Adaptive Sampling for LLM-Based Document Reranking2025GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs2025LLM-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