LongHarness paper reports 4.4% to 61.1% exact match gain on OfficeQA Pro V2 via custom harness
Overview
A paper introduces LongHarness, a model-agnostic agent harness that keeps evidence and open conclusions as explicit state instead of one growing chat history.
The authors report that GLM-5.3-Flash rises from 4.4% to 61.1% exact match on OfficeQA Pro V2 using the same model. The harness is built for corpora of 100M tokens and more, and the authors report that LongHarness beats Claude Code by 12.1 points on V1 and Codex by 18.9 points on V2. Elvis Saravia (@omarsar0) describes the paper on X, and the figures are the paper authors' reported results.
Written by AI from the articles below · updated Oct 13, 3:29 PM ET
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elvis@omarsar0XLongHarness reports large gains on long-context reasoning over 100M-token corporaAIA paper introduces LongHarness, a model-agnostic agent harness that keeps evidence and open conclusions as explicit state rather than one growing chat history. The authors report that GLM-5.3-Flash rises from 4.4% to 61.1% exact match on OfficeQA Pro V2 with the same model, and that LongHarness beats Claude Code by 12.1 points on V1 and Codex by 18.9 points on V2.

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