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Research2026-08-30 · source-backed
Most visual token pruning runs after the encoder, leaving encoder latency untouched. PACE is training-free in two stages: an Adaptive Pixel Compressor scores visual information density before encoding and downsamples redundant input, then a Dynamic Dual-Attention Extractor keeps tokens using both internal encoder signals and semantic signals from the LLM. 3.1x speedup in time to first token, code at github.com/jjL357/PACE. (arXiv 2608.27206)
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