pith:SGUFOMNH
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Strengthening reasoning first on text data then transferring to images improves 3B multimodal models without extra multimodal data.
arxiv:2503.07536 v2 · 2025-03-10 · cs.CL · cs.AI
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Claims
text-based reasoning enhancement enables effective multimodal generalization, offering a data-efficient paradigm that bypasses costly high-quality multimodal training data.
That reasoning skills strengthened via text-only rule-based RL transfer to multimodal inputs without substantial interference from visual perception components or degradation of the foundational reasoning.
A two-stage RL framework first boosts text reasoning in 3B LMMs then adapts it to multimodal inputs, producing modest benchmark gains of 4.5-4.8%.
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| First computed | 2026-05-17T23:38:47.471538Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
91a85731a75417c41596c52a259cf03f90f2493edb555761d42ec860aaa2051f
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SGUFOMNHKQL4IFMWYUVCLHHQH6 \
| 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: 91a85731a75417c41596c52a259cf03f90f2493edb555761d42ec860aaa2051f
Canonical record JSON
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