Claims

Both reward models converge rapidly, reaching stable Hit@k performance around 200–250 training steps and above-baseline Hit@3 within about 50 steps

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Both reward models reached relatively stable performance around 200–250 training steps, and both obtained relatively high Hit@3 accuracy within approximately 50 training steps, exceeding the random baseline of 50%. → Zhenxin Zhang 2026

Evidence

Zhenxin Zhang 2026

Zhenxin Zhang, Ziyu Ding, Mengyun Liu and Haiwei Sang. (2026). RACES: reward-aligned consistent essay scoring with large language models. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00607-8

q2 · i? · design · r2

Numerical analysis of Hit@1, Hit@2, and Hit@3 accuracy curves across training iterations (Fig. 3) for the two reward models in the RACES framework, showing convergence "with a limited number of training iterations".

"both models obtained relatively high Hit@3 accuracy within approximately 50 training steps, exceeding the random baseline of 50%. These results suggest that both reward models converge under the constructed evaluation setting"

Discussion

Page metadata
Field Value
type claim
id races-reward-models-rapid-convergence
title Both reward models converge rapidly, reaching stable Hit@k performance around 200–250 training steps and above-baseline Hit@3 within about 50 steps
description Both reward models converge rapidly, reaching stable Hit@k performance around 200–250 training steps and above-baseline Hit@3 within about 50 steps
status review
evidence_strength weak
newest_evidence 2026
recheck_by 2029
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — zhenxin-zhang-2026

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