pith:JV7LWPYN
Training-Free Multimodal Large Language Model Orchestration
A training-free framework uses an off-the-shelf LLM to route and sequence separate modality experts into one unified multimodal system.
arxiv:2508.10016 v4 · 2025-08-06 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JV7LWPYNWCBA7VWZRNJHBU6M26}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
Across diverse multimodal benchmarks, LLM Orchestration achieves strong performance under standard evaluation constraints while maintaining low orchestration overhead and modular upgradeability, providing a practical alternative to costly joint training for omni-modal systems.
That an off-the-shelf LLM controller can reliably infer user intent and emit correct explicit control tokens for expert selection and sequencing without introducing routing errors that degrade overall performance.
A training-free orchestration framework integrates off-the-shelf modality experts via an LLM controller, text-centric cross-modal memory, and unified interaction layer to enable multimodal input-output without joint training.
Formal links
Receipt and verification
| First computed | 2026-05-25T02:02:08.331790Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4d7ebb3f0db0820fd6d98b5270d3ccd7af6db927c1ebea92b12fa58a6fd911ec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JV7LWPYNWCBA7VWZRNJHBU6M26 \
| 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: 4d7ebb3f0db0820fd6d98b5270d3ccd7af6db927c1ebea92b12fa58a6fd911ec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "42a0e176c9c96a2b7d548a54fa861cb18adb177f81cd8b8323972b2f17495e9a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-08-06T16:17:29Z",
"title_canon_sha256": "7b2aac3bc4eb52a396b6d73398481ac89f1b6a76341c177dde3603ca54acbc56"
},
"schema_version": "1.0",
"source": {
"id": "2508.10016",
"kind": "arxiv",
"version": 4
}
}