pith:SQ4IF5TY
Post-Training Language Models for Crosslingual Consistency
Direct Consistency Optimization derives a reward from the LLM itself to produce consistent answers to the same question across languages.
arxiv:2603.04678 v3 · 2026-03-04 · cs.CL · cs.AI
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\pithnumber{SQ4IF5TY3BRGKD6F5BMVSVN2P4}
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Record completeness
Claims
DCO significantly improves crosslingual consistency across diverse LLMs and outperforms existing methods when training with samples of multiple languages, while complementing DPO when gold labels are available.
That a structured reward function derived directly from the LLM itself can reliably enforce true crosslingual knowledge consistency without introducing new inconsistencies or biases during optimization.
DCO optimizes LLMs for crosslingual knowledge consistency via a structured reward derived directly from the model itself, outperforming prior methods in experiments.
Receipt and verification
| First computed | 2026-05-29T02:05:42.407885Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
943882f678d862650fc5e8595955ba7f3ca47bbaa704f4b6609af2855da68ed2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SQ4IF5TY3BRGKD6F5BMVSVN2P4 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 943882f678d862650fc5e8595955ba7f3ca47bbaa704f4b6609af2855da68ed2
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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