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20242026
most citedHumanity's Last Exam

23 citations · 35 across the 9 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.LG2025★ 3 cited

Remote Labor Index: Measuring AI Automation of Remote Work

Mantas Mazeika, Alice Gatti, Cristina Menghini +44

AIs have made rapid progress on research-oriented benchmarks of knowledge and reasoning, but it remains unclear how these gains translate into economic value and automation. To mea…

cs.AI2025★ 3 cited

A Definition of AGI

Dan Hendrycks, Dawn Song, Christian Szegedy +30

The lack of a concrete definition for Artificial General Intelligence (AGI) obscures the gap between today's specialized AI and human-level cognition. This paper introduces a quant…

cs.AI2025

TextQuests: How Good are LLMs at Text-Based Video Games?

Long Phan, Mantas Mazeika, Andy Zou +1

Evaluating AI agents within complex, interactive environments that mirror real-world challenges is critical for understanding their practical capabilities. While existing agent ben…

cs.CY2025★ 2 cited

Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark

Jasper Götting, Pedro Medeiros, Jon G Sanders +6

We present the Virology Capabilities Test (VCT), a large language model (LLM) benchmark that measures the capability to troubleshoot complex virology laboratory protocols. Construc…

cs.LG2025

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs

Mantas Mazeika, Xuwang Yin, Rishub Tamirisa +8

As AIs rapidly advance and become more agentic, the risk they pose is governed not only by their capabilities but increasingly by their propensities, including goals and values. Tr…

cs.LG2025★ 23 cited

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1168

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…