Tiny Models are the Computational Saver for Large Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Qingyuan, Cardiff, Barry, Frappé, Antoine, Larras, Benoit, John, Deepu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DyCE: Dynamically Configurable Exiting for Deep Learning Compression and Real-time Scaling
by: Wang, Qingyuan, et al.
Published: (2024)
by: Wang, Qingyuan, et al.
Published: (2024)
TinyDrop: Tiny Model Guided Token Dropping for Vision Transformers
by: Wang, Guoxin, et al.
Published: (2025)
by: Wang, Guoxin, et al.
Published: (2025)
DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits
by: Li, Xiaolin, et al.
Published: (2025)
by: Li, Xiaolin, et al.
Published: (2025)
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
by: Wang, Qingyuan, et al.
Published: (2025)
by: Wang, Qingyuan, et al.
Published: (2025)
A Review on Multisensor Data Fusion for Wearable Health Monitoring
by: John, Arlene, et al.
Published: (2024)
by: John, Arlene, et al.
Published: (2024)
KWT-Tiny: RISC-V Accelerated, Embedded Keyword Spotting Transformer
by: Al-Qawlaq, Aness, et al.
Published: (2024)
by: Al-Qawlaq, Aness, et al.
Published: (2024)
POCKET: Pruning Random Convolution Kernels for Time Series Classification from a Feature Selection Perspective
by: Chen, Shaowu, et al.
Published: (2023)
by: Chen, Shaowu, et al.
Published: (2023)
Probabilistic Tiny Recursive Model
by: Sghaier, Amin, et al.
Published: (2026)
by: Sghaier, Amin, et al.
Published: (2026)
Tiny Reward Models
by: Pan, Sarah
Published: (2025)
by: Pan, Sarah
Published: (2025)
Large Language Models Meet Contrastive Learning: Zero-Shot Emotion Recognition Across Languages
by: Zou, Heqing, et al.
Published: (2025)
by: Zou, Heqing, et al.
Published: (2025)
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
by: Du, Xinrun, et al.
Published: (2024)
by: Du, Xinrun, et al.
Published: (2024)
LogTinyLLM: Tiny Large Language Models Based Contextual Log Anomaly Detection
by: Ocansey, Isaiah Thompson, et al.
Published: (2025)
by: Ocansey, Isaiah Thompson, et al.
Published: (2025)
TinyLlama: An Open-Source Small Language Model
by: Zhang, Peiyuan, et al.
Published: (2024)
by: Zhang, Peiyuan, et al.
Published: (2024)
LinguaSim: Interactive Multi-Vehicle Testing Scenario Generation via Natural Language Instruction Based on Large Language Models
by: Shi, Qingyuan, et al.
Published: (2025)
by: Shi, Qingyuan, et al.
Published: (2025)
Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge
by: Qin, Ruiyang, et al.
Published: (2024)
by: Qin, Ruiyang, et al.
Published: (2024)
Test-time Adaptation of Tiny Recursive Models
by: McGovern, Ronan Killian
Published: (2025)
by: McGovern, Ronan Killian
Published: (2025)
Super Tiny Language Models
by: Hillier, Dylan, et al.
Published: (2024)
by: Hillier, Dylan, et al.
Published: (2024)
Tiny Recursive Models on ARC-AGI-1: Inductive Biases, Identity Conditioning, and Test-Time Compute
by: Roye-Azar, Antonio, et al.
Published: (2025)
by: Roye-Azar, Antonio, et al.
Published: (2025)
TinyHelen's First Curriculum: Training and Evaluating Tiny Language Models in a Simpler Language Environment
by: Yang, Ke, et al.
Published: (2024)
by: Yang, Ke, et al.
Published: (2024)
Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?
by: Wu, Guanghan, et al.
Published: (2025)
by: Wu, Guanghan, et al.
Published: (2025)
Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
by: Xu, Sen, et al.
Published: (2025)
by: Xu, Sen, et al.
Published: (2025)
Codenames as a Benchmark for Large Language Models
by: Stephenson, Matthew, et al.
Published: (2024)
by: Stephenson, Matthew, et al.
Published: (2024)
Tina: Tiny Reasoning Models via LoRA
by: Wang, Shangshang, et al.
Published: (2025)
by: Wang, Shangshang, et al.
Published: (2025)
Tiny-BioMoE: a Lightweight Embedding Model for Biosignal Analysis
by: Gkikas, Stefanos, et al.
Published: (2025)
by: Gkikas, Stefanos, et al.
Published: (2025)
Iterative Translation Refinement with Large Language Models
by: Chen, Pinzhen, et al.
Published: (2023)
by: Chen, Pinzhen, et al.
Published: (2023)
Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference
by: Li, Qingyuan, et al.
Published: (2024)
by: Li, Qingyuan, et al.
Published: (2024)
STAR: Similarity-guided Teacher-Assisted Refinement for Super-Tiny Function Calling Models
by: Ni, Jiliang, et al.
Published: (2026)
by: Ni, Jiliang, et al.
Published: (2026)
TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models
by: Shao, Wenqi, et al.
Published: (2023)
by: Shao, Wenqi, et al.
Published: (2023)
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
by: Zeinaty, Christophe El, et al.
Published: (2025)
by: Zeinaty, Christophe El, et al.
Published: (2025)
Tiny-QMoE
by: Cashman, Jack, et al.
Published: (2025)
by: Cashman, Jack, et al.
Published: (2025)
UCCIX: Irish-eXcellence Large Language Model
by: Tran, Khanh-Tung, et al.
Published: (2024)
by: Tran, Khanh-Tung, et al.
Published: (2024)
DeepThink3D: Enhancing Large Language Models with Programmatic Reasoning in Complex 3D Situated Reasoning Tasks
by: Song, Jiayi, et al.
Published: (2025)
by: Song, Jiayi, et al.
Published: (2025)
Empirical Study of Code Large Language Models for Binary Security Patch Detection
by: Li, Qingyuan, et al.
Published: (2025)
by: Li, Qingyuan, et al.
Published: (2025)
TinyMyo: a Tiny Foundation Model for Flexible EMG Signal Processing at the Edge
by: Fasulo, Matteo, et al.
Published: (2025)
by: Fasulo, Matteo, et al.
Published: (2025)
QPART: Adaptive Model Quantization and Dynamic Workload Balancing for Accuracy-aware Edge Inference
by: Li, Xiangchen, et al.
Published: (2025)
by: Li, Xiangchen, et al.
Published: (2025)
Guiding Large Language Models to Generate Computer-Parsable Content
by: Wang, Jiaye
Published: (2024)
by: Wang, Jiaye
Published: (2024)
Mathematical Computation and Reasoning Errors by Large Language Models
by: Zhang, Liang, et al.
Published: (2025)
by: Zhang, Liang, et al.
Published: (2025)
Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming
by: Liu, Jiaxu, et al.
Published: (2024)
by: Liu, Jiaxu, et al.
Published: (2024)
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
by: Han, Lixiang, et al.
Published: (2024)
by: Han, Lixiang, et al.
Published: (2024)
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models
by: Arif, Kazi Hasan Ibn, et al.
Published: (2024)
by: Arif, Kazi Hasan Ibn, et al.
Published: (2024)
Similar Items
-
DyCE: Dynamically Configurable Exiting for Deep Learning Compression and Real-time Scaling
by: Wang, Qingyuan, et al.
Published: (2024) -
TinyDrop: Tiny Model Guided Token Dropping for Vision Transformers
by: Wang, Guoxin, et al.
Published: (2025) -
DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits
by: Li, Xiaolin, et al.
Published: (2025) -
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
by: Wang, Qingyuan, et al.
Published: (2025) -
A Review on Multisensor Data Fusion for Wearable Health Monitoring
by: John, Arlene, et al.
Published: (2024)