pith:LC2EMAER
LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts
LogicVista provides a benchmark of 448 visual questions to evaluate logical reasoning in multimodal LLMs across five tasks and nine capabilities.
arxiv:2407.04973 v1 · 2024-07-06 · cs.AI · cs.CL · cs.CV · cs.LG
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Claims
LogicVista assesses the integrated logical reasoning capabilities of MLLMs in visual contexts across 5 logical reasoning tasks encompassing 9 different capabilities using a sample of 448 multiple-choice questions.
The 448 questions and their human-written reasoning annotations accurately and comprehensively capture general logical cognition abilities in visual contexts without significant selection bias or coverage gaps.
LogicVista is a new benchmark dataset with 448 visual logic questions that evaluates multimodal LLMs on five reasoning tasks covering nine capabilities.
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| First computed | 2026-05-17T23:38:49.330835Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
58b4460091f41794064f83cbf67f14950cd0c7e06fadcd306614670051539af6
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LC2EMAER6QLZIBSPQPF7M7YUSU \
| 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: 58b4460091f41794064f83cbf67f14950cd0c7e06fadcd306614670051539af6
Canonical record JSON
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