Image de couverture de livre

EfficientLLM: Efficiency in Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yuan, Zhengqing, Sun, Weixiang, Liu, Yixin, Zhou, Huichi, Zhou, Rong, Li, Yiyang, Zhang, Zheyuan, Song, Wei, Huang, Yue, Jia, Haolong, Murugesan, Keerthiram, Wang, Yu, He, Lifang, Gao, Jianfeng, Sun, Lichao, Ye, Yanfang
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata
par: Yuan, Zhengqing, et autres
Publié: (2025)

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
par: Li, Yiyang, et autres
Publié: (2025)

Horizon-LM: A RAM-Centric Architecture for LLM Training
par: Yuan, Zhengqing, et autres
Publié: (2026)

ViT-1.58b: Mobile Vision Transformers in the 1-bit Era
par: Yuan, Zhengqing, et autres
Publié: (2024)

NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering
par: Shi, Kaiwen, et autres
Publié: (2025)

LongDA: Benchmarking LLM Agents for Long-Document Data Analysis
par: Li, Yiyang, et autres
Publié: (2026)

Mora: Enabling Generalist Video Generation via A Multi-Agent Framework
par: Yuan, Zhengqing, et autres
Publié: (2024)

TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation
par: Zhou, Rong, et autres
Publié: (2024)

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU
par: Yuan, Zhengqing, et autres
Publié: (2026)

AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering
par: Zhang, Zheyuan, et autres
Publié: (2025)

CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era
par: Shi, Kaiwen, et autres
Publié: (2026)

BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Models
par: Ma, Xiaoyu, et autres
Publié: (2025)

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
par: Yuan, Zhengqing, et autres
Publié: (2023)

ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter
par: Yuan, Zhengqing, et autres
Publié: (2023)

3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation
par: He, Yunhong, et autres
Publié: (2025)

Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?
par: Huang, Yue, et autres
Publié: (2024)

Bora: Biomedical Generalist Video Generation Model
par: Sun, Weixiang, et autres
Publié: (2024)

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
par: Yan, Zhiling, et autres
Publié: (2024)

Drift-Bench: Diagnosing Cooperative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction
par: Bao, Han, et autres
Publié: (2026)

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
par: Liu, Yixin, et autres
Publié: (2024)

Medical Unlearnable Examples: Securing Medical Data from Unauthorized Training via Sparsity-Aware Local Masking
par: Sun, Weixiang, et autres
Publié: (2024)

MLP-KAN: Unifying Deep Representation and Function Learning
par: He, Yunhong, et autres
Publié: (2024)

EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models
par: Xing, Xingrun, et autres
Publié: (2025)

Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis
par: Ma, Yijun, et autres
Publié: (2026)

Temporal Graph Pattern Machine
par: Ma, Yijun, et autres
Publié: (2026)

STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
par: Basavatia, Shreyas, et autres
Publié: (2024)

MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
par: Zhang, Zheyuan, et autres
Publié: (2024)

NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
par: Zhang, Zheyuan, et autres
Publié: (2024)

MedGPT-oss: Training a General-Purpose Vision-Language Model for Biomedicine
par: Zhang, Kai, et autres
Publié: (2026)

AutoData: A Multi-Agent System for Open Web Data Collection
par: Ma, Tianyi, et autres
Publié: (2025)

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
par: Chen, Dongping, et autres
Publié: (2024)

PreScam: A Benchmark for Predicting Scam Progression from Early Conversations
par: Sun, Weixiang, et autres
Publié: (2026)

The Unlearning Mirage: A Dynamic Framework for Evaluating LLM Unlearning
par: Shah, Raj Sanjay, et autres
Publié: (2026)

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
par: Yan, Zhiling, et autres
Publié: (2025)

On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning
par: Gruppi, Mauricio, et autres
Publié: (2024)

Targeted Advertising on Social Networks Using Online Variational Tensor Regression
par: Idé, Tsuyoshi, et autres
Publié: (2022)

Can Large Language Models Automatically Jailbreak GPT-4V?
par: Wu, Yuanwei, et autres
Publié: (2024)

Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective
par: Liu, Yixin, et autres
Publié: (2024)

Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents
par: Wang, Zehong, et autres
Publié: (2026)

Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts
par: Wu, Yuanwei, et autres
Publié: (2023)