Cameron R. Wolfe, Ph.D. (@cwolferesearch): "Here's another great paper on creating realistic / modern evals for agents with a slightly different flavor: https://arxiv.org/abs/2602.11964 Gaia2 from MSL houses evals within realistic agent environments. They purposely create noise, dynamic / evolving constraints, or even te…"

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Here's another great paper on creating realistic / modern evals for agents with a slightly different flavor:

Gaia2 from MSL houses evals within realistic agent environments. They purposely create noise, dynamic / evolving constraints, or even temporal constraints into the eval environment. Agents are forced to resolve ambiguity, collaborate with other agents, etc. This is a great reference for how static LLM benchmarks may start to evolve moving forward.

arxiv.org

Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments

We introduce Gaia2, a benchmark for evaluating large language model agents in realistic, asynchronous environments. Unlike prior static or synchronous evaluations, Gaia2 introduces scenarios where environments evolve independently of agent actions, requiring agents to operate under temporal constrai…

May 6

2:59 PM

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