Claims

Newer LLM generations do not consistently agree better with human essay graders

Claim · All claims
Evidence · 1 study · associational 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? Improvements in general language modeling capability do not necessarily translate into better agreement with human essay grading across datasets; GPT-4 achieved the lowest MAE on DREsS while GPT-5 performed better on ASAP. → Jerin George Mathew 2026

Evidence

Jerin George Mathew 2026

Jerin George Mathew, Sumayya Taher, Anindita Kundu, Denilson Barbosa. (2026). LLMs Do Not Grade Essays Like Humans. https://arxiv.org/abs/2603.23714 doi:10.48550/arxiv.2603.23714

q2 · i? · associational · r2

Comparison of successive GPT and Llama versions across the three datasets: the GPT family showed an overall MAE reduction from GPT-3.5 to GPT-5, but intermediate versions did not follow the trend, and Llama 4 showed lower agreement than earlier versions on ASAP but higher on DREsS.

"Improvements in general language modeling capability do not necessarily translate into better agreement with human essay grading across different datasets."

Discussion

Page metadata
Field Value
type claim
id no-consistent-generational-improvement-llm-grading
title Newer LLM generations do not consistently agree better with human essay graders
description Newer LLM generations do not consistently agree better with human essay graders
status review
evidence_strength moderate
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 — jerin-george-mathew-2026

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