WideSearch

WideSearch: Benchmarking Agentic Broad Info-Seeking Dataset Summary WideSearch is a benchmark designed to evaluate the capabilities of Large Language Model (LLM) driven agents in broad information-seeking tasks. Unlike existing benchmarks that focus on finding a single, hard-to-find fact, WideSearch assesses an agent's

Papers using WideSearch (6)

WebSwarm: Recursive Multi-Agent Orchestration for Deep-and-Wide Web Search2026OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data2026 · 1 citesWideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning2026SAM: State-Adaptive Memory for Long-Horizon Reasoning Agent2026A-MapReduce: Executing Wide Search via Agentic MapReduce2026WebLeaper: Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking2025