Author

Y. Fung

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Preprint Aug 2026

Buried in Textual Debt: Context Pruning with Visual Evidence Preservation for MLLM Agents

Across multi-step visual tool-use benchmarks, SPARE achieves the highest average accuracy among pruning methods while removing 37.89-64.58\% of reasoning tokens, showing that reducing textual dominance restores reliance on visual evidence and mitigates over-conditioning on self-generated language.

Yuchen Huang, Sijia Li, Jun Zhang et al. · 0 citations