GAIA
Timeline (last 90 days)
SWE-bench tests autonomous code repair capability, GAIA tests real-world multi-step task reasoning, and τ-bench tests tool-calling accuracy.
The research team evaluated DeReAct on two benchmarks: GAIA and SWE-bench Verified.
Benchmarks such as SWE-bench and GAIA are specifically designed to measure a model's ability to complete multi-step, cross-tool-call tasks.
AREX-2 achieved the following scores on deep research tasks: BrowseComp 84.0, HLE 52.6, GAIA 92.2, and DeepSearchQA 93.8
The mainstream benchmarks for measuring long-horizon task capability include SWE-bench and GAIA.
Agent evaluation benchmark suites include GAIA, AgentBench, and SWE-bench.
SWE-bench和GAIA是更接近真实世界的评测方法，SWE-bench基于真实GitHub issue修复，GAIA需要多步工具使用
GAIA (General AI Assistants benchmark) is designed with real-world problems that require multi-step tool calls to complete.
All Facts (13)
GAIA基准测试由Meta等机构联合推出，专门评估AI系统在真实世界任务中的通用助手能力
90%UnverifiedGAIA基准测试由Meta AI和HuggingFace等团队于2023年提出，包含400多个精心设计的问题
85%UnverifiedMagentic-One在多个公开基准测试（如GAIA、AssistantBench）上展现了较强的通用任务处理能力
80%UnverifiedManus在GAIA基准测试中取得了领先成绩
80%Unverified2023年人类在GAIA测试中的平均成功率约为90%，而当时最强的GPT-4在Level 1上仅勉强达到15%
75%UnverifiedGAIA (General AI Assistants benchmark) is designed with real-world problems that require multi-step tool calls to complete.
60%UnverifiedSWE-bench tests autonomous code repair capability, GAIA tests real-world multi-step task reasoning, and τ-bench tests tool-calling accuracy.
50%UnverifiedThe research team evaluated DeReAct on two benchmarks: GAIA and SWE-bench Verified.
50%UnverifiedBenchmarks such as SWE-bench and GAIA are specifically designed to measure a model's ability to complete multi-step, cross-tool-call tasks.
50%UnverifiedAREX-2 achieved the following scores on deep research tasks: BrowseComp 84.0, HLE 52.6, GAIA 92.2, and DeepSearchQA 93.8
50%UnverifiedThe mainstream benchmarks for measuring long-horizon task capability include SWE-bench and GAIA.
50%UnverifiedAgent evaluation benchmark suites include GAIA, AgentBench, and SWE-bench.
50%UnverifiedSWE-bench和GAIA是更接近真实世界的评测方法，SWE-bench基于真实GitHub issue修复，GAIA需要多步工具使用
50%