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Llms can teach themselves to better predict the future.arXiv preprint arXiv:2502.05253, 2025

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

fields

cs.CL 1 cs.IR 1

years

2026 2

verdicts

UNVERDICTED 2

representative citing papers

StakeBench: Evaluating Language Understanding Grounded in Market Commitment

cs.CL · 2026-05-25 · unverdicted · novelty 7.0

StakeBench is a new benchmark using market-derived supervision from resolved prediction markets to test LLMs on commitment detection, side identification, action anticipation, and odds projection, revealing partial success on sides but structural failures on higher tasks.

ClinQueryAgent: A Conversational Agent for Population Health Management

cs.IR · 2026-04-13 · unverdicted · novelty 4.0

The paper introduces ClinQueryAgent, a conversational agent that converts natural language queries into database queries for population health management while keeping patient data secure, and reports its use by 128 staff across 15 NHS practices covering 148,319 patients.

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Showing 2 of 2 citing papers.

  • StakeBench: Evaluating Language Understanding Grounded in Market Commitment cs.CL · 2026-05-25 · unverdicted · none · ref 25

    StakeBench is a new benchmark using market-derived supervision from resolved prediction markets to test LLMs on commitment detection, side identification, action anticipation, and odds projection, revealing partial success on sides but structural failures on higher tasks.

  • ClinQueryAgent: A Conversational Agent for Population Health Management cs.IR · 2026-04-13 · unverdicted · none · ref 177

    The paper introduces ClinQueryAgent, a conversational agent that converts natural language queries into database queries for population health management while keeping patient data secure, and reports its use by 128 staff across 15 NHS practices covering 148,319 patients.