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Русский(RU) Агенты выполнили задачу. Почему тест всё равно провален? Допустим, у тебя есть несколько AI-агентов. Один разбирает тикет, второй меняет код, третий запускает т

New benchmark CoCoBench evaluates AI agent coordination

By PulseAugur Editorial · [1 sources] ·

Researchers have developed CoCoBench, a new benchmark designed to evaluate the coordination capabilities of multiple AI agents. While agents may successfully complete a task and achieve a positive outcome, their process might be inefficient or incorrect. CoCoBench aims to measure the quality of the coordination and operational sequence, rather than just the final result. This benchmark was created by researchers from Nanjing University, Tsinghua, and AgiBot. AI

IMPACT This benchmark could lead to more robust and efficient AI agent systems by focusing on the quality of their coordination.

RANK_REASON The cluster describes a new benchmark for evaluating AI agents, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New benchmark CoCoBench evaluates AI agent coordination

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The cluster describes a new benchmark for evaluating AI agents, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 Русский(RU) · [email protected] ·

    Agents completed the task. Why did the test still fail? Suppose you have several AI agents. One analyzes the ticket, the second changes the code, the third launches the t

    Агенты выполнили задачу. Почему тест всё равно провален? Допустим, у тебя есть несколько AI-агентов. Один разбирает тикет, второй меняет код, третий запускает тесты, четвёртый готовит релиз. Задача закрыта, тесты зелёные, артефакт собран. Метрика success_rate показывает успех. Мо…

    LINKS habr.com/…/1076934

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