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erelong

v. 不久;须臾

不久;须臾

The Collaborative International Dictionary of English v.0.48 (gcide)

Erelong \Ere`long"\ (?; 115), adv.
Before the ?apse of a long time; soon; -- usually separated,
ere long.
[1913 Webster]

A man, . . . following the stag, erelong slew him.
--Spenser.
[1913 Webster]

The world, erelong, a world of tears must weep.
--Milton.
[1913 Webster]

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[2606. 05405] Agents Last Exam - arXiv. org
This paper introduces Agents' Last Exam (ALE), a benchmark designed to evaluate AI agents on long horizon, economically valuable, real world tasks with verifiable outcomes
Agents Last Exam
Challenge and measure AI agents on economically valuable and real-world tasks Agents' Last Exam is building the largest-scale, broadest-coverage agent evaluation benchmark to date, measuring performance on long-horizon, economically valuable tasks with verifiable outcomes
Agents’ Last Exam - arXiv. org
This paper introduces Agents’ Last Exam (ALE), a benchmark designed to evaluate AI agents on long horizon, economically valuable, real world tasks with verifiable outcomes
rdi-berkeley agents-last-exam - GitHub
Challenge and measure AI agents on economically valuable, real-world tasks Led by UC Berkeley RDI × RDI Foundation Agents' Last Exam aims to build the broadest-coverage agent evaluation benchmark to date, measuring performance on long-horizon, economically valuable tasks with verifiable outcomes
Center for Responsible, Decentralized Intelligence at Berkeley
Over the past many months, Berkeley RDI has been building Agents’ Last Exam (ALE), a benchmark designed to test exactly that claim on real digital labor-market work With ALE, we evaluated Fable 5, GPT-5 5, Composer 2 5, and other frontier agent systems across more than 1,500 expert-sourced tasks spanning 55 occupations
Documentation | Agents Last Exam
Agents' Last Exam runs AI agents on long-horizon, economically valuable tasks inside full operating-system sandboxes, then grades what they produce against hidden references This site explains how the ale_run framework works and how to run, configure, and extend it
Introducing Agents Last Exam (ALE): A New Standard for . . . - LinkedIn
Today, I'm excited to share Agents' Last Exam (ALE): a rolling benchmark that measures whether AI agents can actually perform economically valuable work across a broad range of real-world
Agents Last Exam launches economically focused agent benchmark
Agents' Last Exam (ALE), led by Berkeley RDI with contributions from **300+** industry experts, is a living benchmark that measures AI agents on long-horizon, economically valuable tasks rather than abstract proxy problems, the project website and arXiv paper state ALE currently covers **55** sub-industries and a public corpus of **1,500+** tasks toward a **5,000**-task goal, according to the
Agents Last Exam | alphaXiv
This paper introduces Agents' Last Exam (ALE), a benchmark designed to evaluate AI agents on long horizon, economically valuable, real world tasks with verifiable outcomes
Paper page - Agents Last Exam - Hugging Face
Agents' Last Exam (ALE) is a benchmark for evaluating AI agents on long-term, economically valuable real-world tasks across 13 industry clusters with 1K+ tasks, revealing significant gaps between benchmark performance and practical deployment

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