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arXivPruning & sparsity

QK-Wanda: Coupling Queries and Keys for Unstructured Pruning

QK-Wanda couples query and key pruning scores via cross-projection deletion costs, reducing QK reconstruction error by 60% at 50% sparsity and improving downstream perplexity on some large models.

Ivan Ilin, Peter Richtárik

Published Oct 1, 2026 · 0 citations

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NeurIPS 2026CornellPruning & sparsity

Efficient Fine-Tuning for Structured Sparsity Under Group Repartitioning

Diyang Li

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026KoreaKorea UnivPruning & sparsity

ASAP: Attention Sink Anchored Pruning

Jaehyuk Lee, Hanyoung Kim, Yanggee Kim, Donghun Lee

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Zuse Institute BerlinZuse Institute Berlin, TU BerlinPruning & sparsity

A Free Lunch in LLM Compression: Revisiting Retraining after Pruning

Moritz Wagner, Christophe Roux, Max Zimmer, Sebastian Pokutta

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U California San DiegoUC San DiegoPruning & sparsity

Compressible Representations: Functional Spines in Deep Neural Networks

Niranjan Rajesh, Meenakshi Khosla

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026KAIST, Korea Advanced Institute KAISTU Wisconsin - MadisonKAIST / MetaPruning & sparsity

SKIM: Pruning Large Language Model Agents via Selective Knowledge Informed Masking

Moonseok Choi, Giung Nam, Jongwon Jeong, Minki Kang and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Harbin Institute of TechnologyHarbin Institute of Technology, Pengcheng LaboratoryPruning & sparsity

TOM-Pruning: Target-aware Output Manifold for LLM Pruning

Junchen Hao, Weikang Meng, Yingjian Li, Zheng Zhang

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026CISPA Helmholtz Center for InforQualcomm AI ResearchCISPA Helmholtz CenterPruning & sparsity

AC/DC on a Budget -- Alternating Sparse Phases

Rahul Nittala, Advait Gadhikar, Tom Jacobs, Rebekka Burkholz

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ChongqingPruning & sparsity

ResKV: Residual-based Channel-wise Unstructured Pruning for KV Cache Compression

Yue Chen, Jinze Li, Dajiang Liu

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Hasso Plattner InstitutePruning & sparsity

Scattered by Design: Why Per-Output Pruning Resists Structured Compression

Victor Omolaoye, Gerard de Melo

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026UmeaTechnical University of MunichTechnische Universität MünchenUmeåPruning & sparsity

Constrained Factorization with Diagonal Scaling: Rank-Revealing Training and Pruning

Yikun Hou, Emrullah Akbas, Suvrit Sra, Alp Yurtsever

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The Hong Kong University of ScieLingnanPruning & sparsity

Block-OBS-GS: Exact Per-Block Joint Brain Surgery with Gauss–Seidel Refinement for LLM Pruning

Yuwen Huang, Xiang Pan

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Koreakorea. universityPruning & sparsity

Generation-Drift-Guided Block Pruning for Large Language Models

ZHIQI HUANG, Heedong Kim, ZHANG LINTONG, Seong-Whan Lee

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026TsinghuaTsinghua University, Tsinghuanational university of singaore,Pruning & sparsity

Cannistraci-Hebb Channel-wise Dynamic Sparse Training of Convolutional Neural Networks with Contextual Modulation

Wenjing Wu, Hanming Li, Xizheng Deng, Jialin Zhao and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Shanghai University of Finance aPruning & sparsity

Correspondence Pruning by Iterative Structural Rectification

Guangwei Zhang, Gang Wang

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Imperial College LondonPruning & sparsity

Sparsity for Free: A Budget-Induced Equilibrium in Joint Topology–Parameter Search

Marcel Mordarski, Daniel Budina, Benjamin Gras, Abdulrahman Shehata and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Samsung Advanced Institute of TeSamsungSamsung ElectronicsPruning & sparsity

Sparsely Wired Mortal LLM Inference

Mincheol Park, Sunwoo Lee, Sukjin Lee, Wooram Yang and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The Hong Kong University of ScieZhejiang University of TechnologDocta.aiPruning & sparsity

Fewer Tokens, Fewer Layers: Efficient Vision Token Pruning and On-Policy Distillation to Accelerate VLMs

Shuai Wang, Shitong Shao, Qi Xuan, Zhaowei Zhu and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Arda IndustriesCornellComputer Science Department, StaStanfordPruning & sparsity

TrunkFish: Making Model Width Incrementally Refinable

Owen M Dugan, Liam Dugan, Aaryan Singhal, Christopher De Sa and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Huawei Technologies Ltd.Lomonosov Moscow StatePruning & sparsity

SVDP: Training-Free Contextual Sparsity Predictors for Fast LLM Inference

Georgii Serbin, Kirill Koshkin, Zhongao Sun, Anastasiya Bistrigova and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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