LegendBench: A Diagnostic Benchmark for Legend Understanding with Counterfactual Interventions

arXiv:2609.24172 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

Code: https://github.com/legendbench/legendbench

Terminology

Grounding — 50× in this paper · explained in 3 episodes
Accuracy — 47× in this paper · explained in 1 episode
Benchmark — 46× in this paper · explained in 2 episodes
Abstention — 42× in this paper · explained in 1 episode
Fine-Tuning — 18× in this paper · explained in 5 episodes
Consistency — 9× in this paper · explained in 3 episodes
Alignment — 7× in this paper · explained in 1 episode
Benchmarking — 7× in this paper · explained in 3 episodes
Abstention Recall — 6× in this paper
Abstention Precision — 4× in this paper
Visual Grounding — 3× in this paper · explained in 2 episodes
Core — 2× in this paper · explained in 2 episodes
Hallucination — 2× in this paper · explained in 3 episodes
Instruction Tuning — 2× in this paper · explained in 2 episodes
Interpretability — 2× in this paper · explained in 15 episodes
Vision-Language Models (VLMs) — 2× in this paper · explained in 6 episodes
Abstraction — 1× in this paper · explained in 1 episode
Causal Reasoning — 1× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 1× in this paper
Failure Modes — 1× in this paper · explained in 3 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Homogeneity — 1× in this paper · explained in 2 episodes
Semantic Alignment — 1× in this paper · explained in 3 episodes
Winter Conference on Applications of Computer Vision — 1× in this paper

Sources

ChartLlama: A Multimodal LLM for Chart Understanding and Generation

Terminology

Sources

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