SPLIT-VLM Reproduction (ICML 2026, Elm4TdaXi0)
Collection
Local reduced-scale reproduction of SPLIT-VLM token dropping for LLaVA-1.5-7B. • 2 items • Updated
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Error code: FileFormatMismatchBetweenSplitsError
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SPLIT-VLM reproduction bundle
Reproduction of SPLIT-VLM (ICML 2026, OpenReview Elm4TdaXi0) — Salience-Guided
Partitioning towards Local Coverage for Importance-Aware Token Dropping in Vision-Language Models.
Contents:
scripts/split_prune.py— faithful SPLIT implementation (temporal-shift importance, adaptive region budgets, diversity selection; Algorithm 1).scripts/validate_mechanism.py— Claim 3 mechanism check on the CLIP vision tower.scripts/llava_split_eval.py— LLaVA-1.5-7B token-dropping eval (POPE/TextVQA/ScienceQA) with SPLIT vs random/attention baselines.scripts/aggregate.py,make_figures.py,make_results_fig.py— aggregation + figures.outputs/— result JSONs, aggregate.{json,csv}, figures, mechanism validation.paper_notes.md— recovered method + target tables.
Compute: local Apple M1 Pro (MPS, fp16); reduced-scale subsets (POPE 150, TextVQA 60, ScienceQA 60). HF Jobs (GPU) was blocked by lack of credits (402). See the Trackio logbook for the full write-up.
Reproduce: python scripts/llava_split_eval.py --task pope --n 150 --budgets 192,128,64 --methods vanilla,split,random,attn
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