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pith:KZPVITFK

pith:2026:KZPVITFKGLIULSSP4T46XSM6WS
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GRPO-TTA: Test-Time Visual Tuning for Vision-Language Models via GRPO-Driven Reinforcement Learning

Hongyuan Zhang, Yuan Yuan, Yujun Li

GRPO-TTA applies GRPO to test-time visual tuning of vision-language models via group-wise policy optimization on unlabeled class candidates, outperforming prior TTA methods especially under natural distribution shifts.

arxiv:2605.03403 v2 · 2026-05-05 · cs.CV · cs.LG

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\pithnumber{KZPVITFKGLIULSSP4T46XSM6WS}

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Claims

C1strongest claim

GRPO-TTA consistently outperforms existing test-time adaptation methods, with notably larger performance gains under natural distribution shifts.

C2weakest assumption

That constructing output groups by sampling top-K class candidates from CLIP similarity distributions enables effective probability-driven optimization without ground-truth labels, and that the designed alignment and dispersion rewards guide effective visual encoder tuning at test time.

C3one line summary

GRPO-TTA applies GRPO to test-time visual tuning of vision-language models via group-wise policy optimization on unlabeled class candidates, outperforming prior TTA methods especially under natural distribution shifts.

Receipt and verification
First computed 2026-06-02T02:04:53.599649Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

565f544caa32d145ca4fe4f9ebc99eb48ecd132ea4c99eab95eded35b501572a

Aliases

arxiv: 2605.03403 · arxiv_version: 2605.03403v2 · doi: 10.48550/arxiv.2605.03403 · pith_short_12: KZPVITFKGLIU · pith_short_16: KZPVITFKGLIULSSP · pith_short_8: KZPVITFK
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KZPVITFKGLIULSSP4T46XSM6WS \
  | 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: 565f544caa32d145ca4fe4f9ebc99eb48ecd132ea4c99eab95eded35b501572a
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-05T06:23:20Z",
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