Saved in:
| Main Author: | Chen, Xiang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.16615 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Blar-SQL: Faster, Stronger, Smaller NL2SQL
by: Domínguez, José Manuel, et al.
Published: (2024)
by: Domínguez, José Manuel, et al.
Published: (2024)
FaStfact: Faster, Stronger Long-Form Factuality Evaluations in LLMs
by: Wan, Yingjia, et al.
Published: (2025)
by: Wan, Yingjia, et al.
Published: (2025)
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
by: Shen, Xuan, et al.
Published: (2023)
by: Shen, Xuan, et al.
Published: (2023)
HyperVL: An Efficient and Dynamic Multimodal Large Language Model for Edge Devices
by: HyperAI Team, et al.
Published: (2025)
by: HyperAI Team, et al.
Published: (2025)
Stronger Models are NOT Stronger Teachers for Instruction Tuning
by: Xu, Zhangchen, et al.
Published: (2024)
by: Xu, Zhangchen, et al.
Published: (2024)
EdgeInfinite: A Memory-Efficient Infinite-Context Transformer for Edge Devices
by: Chen, Jiyu, et al.
Published: (2025)
by: Chen, Jiyu, et al.
Published: (2025)
Multilinguality at the Edge: Developing Language Models for the Global South
by: Miranda, Lester James V., et al.
Published: (2026)
by: Miranda, Lester James V., et al.
Published: (2026)
Cheaper, Better, Faster, Stronger: Robust Text-to-SQL without Chain-of-Thought or Fine-Tuning
by: Dönder, Yusuf Denizay, et al.
Published: (2025)
by: Dönder, Yusuf Denizay, et al.
Published: (2025)
FlashDecoding++: Faster Large Language Model Inference on GPUs
by: Hong, Ke, et al.
Published: (2023)
by: Hong, Ke, et al.
Published: (2023)
EdgeVLA: Efficient Vision-Language-Action Models
by: Budzianowski, Paweł, et al.
Published: (2025)
by: Budzianowski, Paweł, et al.
Published: (2025)
Distributed Mixture-of-Agents for Edge Inference with Large Language Models
by: Mitra, Purbesh, et al.
Published: (2024)
by: Mitra, Purbesh, et al.
Published: (2024)
Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device
by: Lee, Juntae, et al.
Published: (2025)
by: Lee, Juntae, et al.
Published: (2025)
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
by: Chu, Xiangxiang, et al.
Published: (2024)
by: Chu, Xiangxiang, et al.
Published: (2024)
EdgeMoE: Empowering Sparse Large Language Models on Mobile Devices
by: Yi, Rongjie, et al.
Published: (2023)
by: Yi, Rongjie, et al.
Published: (2023)
Better & Faster Large Language Models via Multi-token Prediction
by: Gloeckle, Fabian, et al.
Published: (2024)
by: Gloeckle, Fabian, et al.
Published: (2024)
KVPruner: Structural Pruning for Faster and Memory-Efficient Large Language Models
by: Lv, Bo, et al.
Published: (2024)
by: Lv, Bo, et al.
Published: (2024)
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
by: Reka Team, et al.
Published: (2024)
by: Reka Team, et al.
Published: (2024)
Squat: Quant Small Language Models on the Edge
by: Shen, Xuan, et al.
Published: (2024)
by: Shen, Xuan, et al.
Published: (2024)
Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language Models
by: Laitenberger, Alex, et al.
Published: (2025)
by: Laitenberger, Alex, et al.
Published: (2025)
Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks
by: Li, Zuguang, et al.
Published: (2024)
by: Li, Zuguang, et al.
Published: (2024)
Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization
by: Wang, Boshi, et al.
Published: (2024)
by: Wang, Boshi, et al.
Published: (2024)
Vision-Language Models for Edge Networks: A Comprehensive Survey
by: Sharshar, Ahmed, et al.
Published: (2025)
by: Sharshar, Ahmed, et al.
Published: (2025)
FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices
by: Gao, Zhidong, et al.
Published: (2024)
by: Gao, Zhidong, et al.
Published: (2024)
Visual In-Context Learning for Large Vision-Language Models
by: Zhou, Yucheng, et al.
Published: (2024)
by: Zhou, Yucheng, et al.
Published: (2024)
Mitigating Forgetting Between Supervised and Reinforcement Learning Yields Stronger Reasoners
by: Yuan, Xiangchi, et al.
Published: (2025)
by: Yuan, Xiangchi, et al.
Published: (2025)
Next Concept Prediction in Discrete Latent Space Leads to Stronger Language Models
by: Liu, Yuliang, et al.
Published: (2026)
by: Liu, Yuliang, et al.
Published: (2026)
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
by: Liu, Runxuan, et al.
Published: (2025)
by: Liu, Runxuan, et al.
Published: (2025)
Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree
by: Gao, Xiangxiang, et al.
Published: (2024)
by: Gao, Xiangxiang, et al.
Published: (2024)
Benchmarking Local Language Models for Social Robots using Edge Devices
by: Lamouille, Dorian, et al.
Published: (2026)
by: Lamouille, Dorian, et al.
Published: (2026)
TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer
by: Qin, Zhen, et al.
Published: (2023)
by: Qin, Zhen, et al.
Published: (2023)
MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices
by: Basit, Abdul, et al.
Published: (2024)
by: Basit, Abdul, et al.
Published: (2024)
Finding Transformer Circuits with Edge Pruning
by: Bhaskar, Adithya, et al.
Published: (2024)
by: Bhaskar, Adithya, et al.
Published: (2024)
HintMR: Eliciting Stronger Mathematical Reasoning in Small Language Models
by: Hossain, Jawad, et al.
Published: (2026)
by: Hossain, Jawad, et al.
Published: (2026)
Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant
by: Lee, Jemin, et al.
Published: (2024)
by: Lee, Jemin, et al.
Published: (2024)
OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Models
by: Yu, Wenwen, et al.
Published: (2025)
by: Yu, Wenwen, et al.
Published: (2025)
EdgeInfinite-Instruct: Bridging SFT-Based Optimization and NPU-Level Efficiency for Edge Devices
by: Chen, Jiyu, et al.
Published: (2025)
by: Chen, Jiyu, et al.
Published: (2025)
Fox-1: Open Small Language Model for Cloud and Edge
by: Hu, Zijian, et al.
Published: (2024)
by: Hu, Zijian, et al.
Published: (2024)
Can Large Language Models Automatically Jailbreak GPT-4V?
by: Wu, Yuanwei, et al.
Published: (2024)
by: Wu, Yuanwei, et al.
Published: (2024)
Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning
by: Zhu, Yingjie, et al.
Published: (2024)
by: Zhu, Yingjie, et al.
Published: (2024)
Evaluating, Understanding, and Improving Constrained Text Generation for Large Language Models
by: Chen, Xiang, et al.
Published: (2023)
by: Chen, Xiang, et al.
Published: (2023)
Similar Items
-
Blar-SQL: Faster, Stronger, Smaller NL2SQL
by: Domínguez, José Manuel, et al.
Published: (2024) -
FaStfact: Faster, Stronger Long-Form Factuality Evaluations in LLMs
by: Wan, Yingjia, et al.
Published: (2025) -
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
by: Shen, Xuan, et al.
Published: (2023) -
HyperVL: An Efficient and Dynamic Multimodal Large Language Model for Edge Devices
by: HyperAI Team, et al.
Published: (2025) -
Stronger Models are NOT Stronger Teachers for Instruction Tuning
by: Xu, Zhangchen, et al.
Published: (2024)