pith:TK4LO3NG
Edit-level Majority Voting Mitigates Over-Correction in LLM-based Grammatical Error Correction
Edit-level majority voting over multiple LLM candidates reduces over-correction in grammatical error correction.
arxiv:2605.13624 v1 · 2026-05-13 · cs.CL
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Claims
Across nine benchmarks covering English, Czech, German, Ukrainian, Korean, Hindi, and Romanian, the proposed method outperforms both greedy and MBR decoding in most cases. Moreover, it yields stable correction quality regardless of the instruction prompts used.
That generating multiple candidates from a single LLM and applying majority voting at the edit level will reliably mitigate over-correction, assuming sufficient diversity among candidates and a well-defined notion of individual edits.
Edit-level majority voting on multiple LLM-generated candidates reduces over-correction in grammatical error correction and outperforms greedy and MBR decoding on nine multilingual benchmarks while remaining stable to prompt variations.
References
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| First computed | 2026-05-18T02:44:17.841674Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9ab8b76da6b5fa9f541d4e340c40d40bdbbc0a78bf8f8e2129aebb6cc19ff358
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TK4LO3NGWX5J6VA5JY2AYQGUBP \
| jq -c '.canonical_record' \
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Canonical record JSON
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