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pith:2026:HBQNWEDYQHMKTIPES7MNUPYUEU
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PDCR: Perception-Decomposed Confidence Reward for Vision-Language Reasoning

Chang D. Yoo, Chong Luo, Eunseop Yoon, Gwanhyeong Koo, Hee Suk Yoon, Ji Woo Hong, Mark Hasegawa-Johnson, Qi Dai, SooHwan Eom

Decomposing confidence rewards into perception and reasoning clusters improves vision-language model training.

arxiv:2605.13467 v1 · 2026-05-13 · cs.CL

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Claims

C1strongest claim

We demonstrate that PDCR outperforms the naive, global-reward formulation and sparse-reward baselines on key V-L reasoning benchmarks.

C2weakest assumption

The unsupervised clustering driven by the model-internal Visual Dependence Score accurately partitions steps into perception and reasoning without any labeled supervision or external verification.

C3one line summary

PDCR improves vision-language reasoning by computing separate normalized confidence advantages for perception steps and reasoning steps after unsupervised decomposition.

References

79 extracted · 79 resolved · 12 Pith anchors

[1] Gpt-4v(ision) system card. 2023. 1 2023
[2] Qwen2.5-VL Technical Report 2025 · arXiv:2502.13923
[3] Vrprm: Process reward modeling via visual reasoning.arXiv preprint arXiv:2508.03556, 2025 2025
[4] arXiv preprint arXiv:2505.23558 , year= 2025
[5] Ultrafeedback: Boosting language models with scaled ai feedback
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First computed 2026-05-18T02:44:41.611045Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3860db107881d8a9a1e497d8da3f142520076fb5acc35d29893e75cd61db867b

Aliases

arxiv: 2605.13467 · arxiv_version: 2605.13467v1 · doi: 10.48550/arxiv.2605.13467 · pith_short_12: HBQNWEDYQHMK · pith_short_16: HBQNWEDYQHMKTIPE · pith_short_8: HBQNWEDY
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/HBQNWEDYQHMKTIPES7MNUPYUEU \
  | 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: 3860db107881d8a9a1e497d8da3f142520076fb5acc35d29893e75cd61db867b
Canonical record JSON
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