LookZoom Reader Ablation 784 - Five-Benchmark Average: leaderboard

LookZoom v1: Qwen3-VL-Instruct at 2B/4B/8B. Fixed 500-question subsets (seed 0) of DocVQA val (ANLS),InfographicVQA val (ANLS),ChartQA test (relaxed accuracy),TextVQA val (VQA accuracy), plus 300 held-out V-CoT-Doc (strict match). Per-view budget B means B * 32^2 pixels preserving aspect ratio, not total tokens. Single view/AttWarp/replace answer from 1 view; ViCrop/ground-then-crop/GapSight/LookZoom use 2. LookZoom reader uses GRPO LoRA; pointer trained from own correct answers; GapSight is authors reimplementation. Distinct trained systems remain separate. Same crops/decisions but base versus RL-adapted reader; not the same trained checkpoint. Exact budget 784. Five-Benchmark Average. Metric: Accuracy (%).

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 9 models tracked.

Top models

#ModelScoreOverall rank
1LookZoom Qwen3-VL-8B reader ablation Ours87
2LookZoom Qwen3-VL-8B reader ablation Our reader, GapSight’s crops86.7
3LookZoom Qwen3-VL-8B reader ablation GapSight † , base reader86.6
4LookZoom Qwen3-VL-4B reader ablation Ours85.4
5LookZoom Qwen3-VL-4B reader ablation Our reader, GapSight’s crops83.5
6LookZoom Qwen3-VL-4B reader ablation GapSight † , base reader83.2
7LookZoom Qwen3-VL-2B reader ablation Our reader, GapSight’s crops81.6
8LookZoom Qwen3-VL-2B reader ablation Ours81.4
9LookZoom Qwen3-VL-2B reader ablation GapSight † , base reader81.1

Interactive version: theaggregate.ai/benchmark?slug=lookzoom-reader-ablation-784-five-benchmark-average · How It Works · Data refreshed daily, snapshot 2026-10-27.