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Bibliographic Details
Main Authors:	Zhang, Lihong, Li, Yue
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2504.10536
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Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models
by: Hartman, Max, et al.
Published: (2025)

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks
by: Hussain, Sajid, et al.
Published: (2025)

Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
by: Zhang, Jun, et al.
Published: (2025)

Integration of Large Language Models and Federated Learning
by: Chen, Chaochao, et al.
Published: (2023)

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
by: Chen, Mengzhao, et al.
Published: (2024)

Personalized Wireless Federated Learning for Large Language Models
by: Jiang, Feibo, et al.
Published: (2024)

Sliding Window Attention Training for Efficient Large Language Models
by: Fu, Zichuan, et al.
Published: (2025)

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
by: Elhoushi, Mostafa, et al.
Published: (2024)

Federated Data-Efficient Instruction Tuning for Large Language Models
by: Qin, Zhen, et al.
Published: (2024)

MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning
by: Zhang, Jianyi, et al.
Published: (2024)

Post-Trained MoE Can Skip Half Experts via Self-Distillation
by: Lv, Xingtai, et al.
Published: (2026)

Learning Dynamics in Continual Pre-Training for Large Language Models
by: Wang, Xingjin, et al.
Published: (2025)

Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
by: Lv, Xingtai, et al.
Published: (2024)

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2025)

Automated ICD Classification of Psychiatric Diagnoses: From Classical NLP to Large Language Models
by: Ortega, Fernando, et al.
Published: (2026)

Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models
by: Han, Zongbo, et al.
Published: (2024)

EfficientLLM: Efficiency in Large Language Models
by: Yuan, Zhengqing, et al.
Published: (2025)

Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only
by: Zhang, Qingru, et al.
Published: (2025)

Detecting PTSD in Clinical Interviews: A Comparative Analysis of NLP Methods and Large Language Models
by: Chen, Feng, et al.
Published: (2025)

Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models
by: Liu, Ji, et al.
Published: (2024)

Regurgitative Training: The Value of Real Data in Training Large Language Models
by: Zhang, Jinghui, et al.
Published: (2024)

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
by: Xiao, Guangxuan, et al.
Published: (2022)

LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models
by: Li, Guangyan, et al.
Published: (2024)

Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning
by: Zhao, Shiwan, et al.
Published: (2026)

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
by: Xi, Zhiheng, et al.
Published: (2024)

Federated Learning-Enabled Hybrid Language Models for Communication-Efficient Token Transmission
by: Solat, Faranaksadat, et al.
Published: (2025)

Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare
by: Acikgoz, Emre Can, et al.
Published: (2024)

Hierarchical Federated Unlearning for Large Language Models
by: Zhong, Yisheng, et al.
Published: (2025)

Token-Efficient Leverage Learning in Large Language Models
by: Zeng, Yuanhao, et al.
Published: (2024)

Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
by: Schröder, Christopher, et al.
Published: (2024)

Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation
by: Zhang, Hongxiang, et al.
Published: (2025)

From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models
by: Xu, Chejian, et al.
Published: (2025)

Reinforcement Learning for Reasoning in Large Language Models with One Training Example
by: Wang, Yiping, et al.
Published: (2025)

LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions
by: Askari, Hadi, et al.
Published: (2025)

Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare Tasks
by: AlDahoul, Nouar, et al.
Published: (2025)

Learn To be Efficient: Build Structured Sparsity in Large Language Models
by: Zheng, Haizhong, et al.
Published: (2024)

Training Optimal Large Diffusion Language Models
by: Ni, Jinjie, et al.
Published: (2025)

AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning
by: Yang, Yifan, et al.
Published: (2024)

ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation
by: Mei, Zhiyu, et al.
Published: (2024)

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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