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Bibliographic Details
Main Authors:	Ding, Yizhuo, Fan, Ke, Wang, Yikai, Sun, Xinwei, Fu, Yanwei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2501.03289
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Revisiting Large Language Model Pruning using Neuron Semantic Attribution
by: Ding, Yizhuo, et al.
Published: (2025)

NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation
by: Huo, Jingyang, et al.
Published: (2024)

Doubly Robust Proximal Causal Learning for Continuous Treatments
by: Wu, Yong, et al.
Published: (2023)

A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs
by: Wan, Chang, et al.
Published: (2025)

Robust Network Learning via Inverse Scale Variational Sparsification
by: Zhou, Zhiling, et al.
Published: (2024)

Discovering Causal Relationships using Proxy Variables under Unmeasured Confounding
by: Wu, Yong, et al.
Published: (2025)

Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior
by: Zhang, Mingxuan, et al.
Published: (2024)

COSMO-RL: Towards Trustworthy LMRMs via Joint Safety and Stability
by: Ding, Yizhuo, et al.
Published: (2025)

Understanding Differential Transformer Unchains Pretrained Self-Attentions
by: Kong, Chaerin, et al.
Published: (2025)

ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning
by: Zhang, Jinyang, et al.
Published: (2025)

APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
by: Zhao, Bowen, et al.
Published: (2024)

Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
by: Fan, Ke, et al.
Published: (2024)

Adaptive Computation Pruning for the Forgetting Transformer
by: Lin, Zhixuan, et al.
Published: (2025)

IDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model Pretraining
by: Li, Yixiao, et al.
Published: (2025)

Unified Lexical Representation for Interpretable Visual-Language Alignment
by: Li, Yifan, et al.
Published: (2024)

Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
by: Grangier, David, et al.
Published: (2024)

Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
by: Yue, Yanwei, et al.
Published: (2024)

Variational Routing: A Scalable Bayesian Framework for Calibrated Mixture-of-Experts Transformers
by: Li, Albus Yizhuo, et al.
Published: (2026)

Distributional Reinforcement Learning with Diffusion Bridge Critics
by: Ding, Shutong, et al.
Published: (2026)

Dataset Condensation for Time Series Classification via Dual Domain Matching
by: Liu, Zhanyu, et al.
Published: (2024)

SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
by: Yasuda, Taisuke, et al.
Published: (2024)

Projection-Free CNN Pruning via Frank-Wolfe with Momentum: Sparser Models with Less Pretraining
by: Shili, Hamza ElMokhtar, et al.
Published: (2025)

Demystifying When Pruning Works via Representation Hierarchies
by: He, Shwai, et al.
Published: (2026)

TAP-ViTs: Task-Adaptive Pruning for On-Device Deployment of Vision Transformers
by: Wang, Zhibo, et al.
Published: (2026)

MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
by: Chen, Yizhuo, et al.
Published: (2024)

Non-transferable Pruning
by: Ding, Ruyi, et al.
Published: (2024)

Causal Discovery via Conditional Independence Testing with Proxy Variables
by: Liu, Mingzhou, et al.
Published: (2023)

GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining
by: Fan, Simin, et al.
Published: (2025)

Spiking Layer-Adaptive Magnitude-based Pruning
by: Wang, Junqiao, et al.
Published: (2026)

TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining
by: Zhang, Ruiyi, et al.
Published: (2024)

ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
by: Liu, Lawrence, et al.
Published: (2025)

Path-Space Mirror Descent for On-Policy Reinforcement Learning under the Generalized Schrödinger Bridge
by: Gong, Yuehu, et al.
Published: (2026)

Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning
by: Wei, Chu-Yuan, et al.
Published: (2025)

Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
by: Le, Qi, et al.
Published: (2025)

Universal Pose Pretraining for Generalizable Vision-Language-Action Policies
by: Lin, Haitao, et al.
Published: (2026)

Pruning and Malicious Injection: A Retraining-Free Backdoor Attack on Transformer Models
by: Zhao, Taibiao, et al.
Published: (2025)

SAP: Syntactic Attention Pruning for Transformer-based Language Models
by: Lee, Tzu-Yun, et al.
Published: (2025)

Variance-Adaptive Muon: Accelerating LLM Pretraining with NSR-Modulated and Variance-Scaled Momentum
by: Li, Jingru, et al.
Published: (2026)

Achieving Deep Continual Learning via Evolution
by: Lu, Aojun, et al.
Published: (2025)

if (filemtime($filename) + $maxlifetime < time()) { unlink($filename); $count++; } } return $count; } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ protected function saveSession($sessId, $data): bool { $sessFile = $this->path . '/sess_' . $sessId; if ($handle = fopen($sessFile, 'w')) { $return = false; // Lock the file for exclusive access to avoid issues with multiple // processes writing session simultaneously: if (flock($handle, LOCK_EX)) { $return = fwrite($handle, $data); // Make sure that there's no trailing data by truncating the file to // the correct length: ftruncate($handle, strlen($data)); fflush($handle); flock($handle, LOCK_UN); } fclose($handle); if ($return !== false) { return true; } } // If we got this far, something went wrong with the file output... // It is tempting to throw an exception here, but this code is called // outside of the context of exception handling, so all we can do is // echo a message.

// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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