FastJEV: Understanding Redundancy for Compact JEV Inference

arXiv:2610.11379 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/JieMaMagic/FastJEV

Terminology

Pruning — 67× in this paper · explained in 4 episodes
Accuracy — 26× in this paper · explained in 1 episode
Calibration — 19× in this paper · explained in 7 episodes
Redundancy — 11× in this paper · explained in 2 episodes
Benchmark — 8× in this paper · explained in 2 episodes
Abstention — 5× in this paper · explained in 1 episode
Ablation — 3× in this paper · explained in 1 episode
Embeddings — 3× in this paper · explained in 2 episodes
KV cache — 3× in this paper · explained in 3 episodes
Verification — 3× in this paper · explained in 2 episodes
Vision-language models — 3× in this paper · explained in 2 episodes
F1 Score — 2× in this paper · explained in 3 episodes
State Management — 2× in this paper · explained in 3 episodes
Benchmarking — 1× in this paper · explained in 4 episodes
EMMA — 1× in this paper · explained in 2 episodes
Hallucination — 1× in this paper · explained in 4 episodes
Instruction Tuning — 1× in this paper · explained in 2 episodes
Multimodal Reasoning — 1× in this paper · explained in 5 episodes
Transformer — 1× in this paper · explained in 2 episodes

Sources

Look Less, Reason More: Block-wise Attention Skipping for Efficient Multimodal LLMs

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