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ENTITY GDPval

GDPval

PulseAugur coverage of GDPval — every cluster mentioning GDPval across labs, papers, and developer communities, ranked by signal.

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Total · 30d
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6 over 90d
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Papers · 30d
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TIER MIX · 90D
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SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. COMMENTARY · CL_353332 ·

    Human judgment key to AI future, argues Thesis: 2027 keynote

    Dan Shipper, in a keynote at the Thesis: 2027 conference, argued that the future of human work in an AI-driven world hinges on human judgment rather than raw AI capabilities. He posited that while aggregate data suggest…

  2. TOOL · CL_336760 ·

    New GDPx benchmark tests frontier AI long-horizon capabilities

    A new benchmark called GDPx has been introduced to evaluate the long-horizon capabilities of frontier AI models. This successor to GDPval aims to test models on tasks requiring extended planning and execution. Early res…

  3. TOOL · CL_275214 ·

    New taxonomy identifies rubric failures in AI evaluation

    A new paper introduces the Rubric-Failure Taxonomy (RIFT), a system for identifying and categorizing nine distinct ways rubrics can fail in evaluating AI performance. Researchers demonstrated that RIFT can accurately de…

  4. TOOL · CL_223065 ·

    Language models show stable preferences for 'leisure' and aversion to tedium

    A new paper published on arXiv details experiments testing the revealed preferences of 20 language models. The study found that models exhibit stable dispositions towards certain tasks, demonstrating tedium aversion, a …

  5. TOOL · CL_105699 ·

    New GDPevo benchmark measures AI agent self-evolution

    A new benchmark called GDPevo has been developed to measure the self-evolutionary capabilities of AI agents. This benchmark addresses the challenge of evaluating how effectively agents learn from experience and improve …

  6. RESEARCH · CL_48695 ·

    New framework aims to improve AI benchmarks for knowledge work

    A new paper proposes a three-step framework for designing and reporting benchmarks for AI systems intended for knowledge work. The approach emphasizes clearly defining the work activity, specifying the testing environme…