FWL-ToPM Enables Real-Time Full-Waveform LiDAR Transformers
FWL-ToPM provides over 8x speedup and nearly 9-point F1 gain on Ghost-FWL benchmark.
Stories per day · 30 days
9 stories, newest first · one card per story
Stories tagged #token-pruning
TokenGate learns token pruning for faster LLM prefill
It reports 1.4–11.3× faster time-to-first-token and 1.5–3.4× lower peak memory with no accuracy loss.
Understanding and Mitigating Token-Pruning-Induced Vulnerabilities in VLMs
Token pruning can amplify jailbreak semantics in VLMs; Safety-Aware Pruning cuts attack success by up to 62%.
Just MLPs: Efficient Visual State Reconstruction for Multimodal Language Models
delta-Vision preserves every visual token and replaces repeated Transformer updates with lightweight MLP memory adapters.
SCOPD: Sparse-Context On-Policy Self-Distillation for Efficient Vision-Language Models
SCOPD self-distillation helps vision-language models retain accuracy when most visual tokens are pruned.
SLICEChat: Progressive In-Encoder Token Pruning for Whole-Slide Pathology Language Models
SLICEChat prunes pathology slide tokens inside a hybrid Mamba-Transformer encoder before multimodal fusion.
Don't Send What You Don't Need: Question-Guided Token Pruning as a Privacy Defense for Vision-Language Models
QPriv-VL prunes privacy-sensitive visual tokens in federated/split VQA, cutting membership-inference success on VQA-RAD from 0.99 to 0.76-0.79 using ~40% of tokens.
TRACE: Trajectory-robust Admission with Evidence Ordering for Efficient GUI Agents
TRACE, a training-free visual token pruning framework, cuts GUI agent inference latency and memory while keeping trajectory-wide visual evidence reusable.
CoVeR: Coverage-Based Token Pruning for Multi-View 3D Reasoning in VLMs
CoVeR, a training-free coverage-based token pruner, preserves 93.5% of VLM 3D-reasoning performance using only about 8% of visual tokens.