Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling
Fuente:
arXiv
Saved in:
| Main Authors: | Luo, Xianzhen, Wang, Yixuan, Zhu, Qingfu, Zhang, Zhiming, Zhang, Xuanyu, Yang, Qing, Xu, Dongliang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training
by: Wang, Yixuan, et al.
Published: (2024)
by: Wang, Yixuan, et al.
Published: (2024)
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models
by: Luo, Xianzhen, et al.
Published: (2024)
by: Luo, Xianzhen, et al.
Published: (2024)
Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts
by: Luo, Xianzhen, et al.
Published: (2024)
by: Luo, Xianzhen, et al.
Published: (2024)
From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction
by: Zhu, Mingcheng, et al.
Published: (2026)
by: Zhu, Mingcheng, et al.
Published: (2026)
Fine-Tuning Pre-trained Language Models to Detect In-Game Trash Talks
by: Fesalbon, Daniel, et al.
Published: (2024)
by: Fesalbon, Daniel, et al.
Published: (2024)
Recurrent Drafter for Fast Speculative Decoding in Large Language Models
by: Cheng, Yunfei, et al.
Published: (2024)
by: Cheng, Yunfei, et al.
Published: (2024)
CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis
by: Xu, Yuzhuang, et al.
Published: (2025)
by: Xu, Yuzhuang, et al.
Published: (2025)
TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route
by: Luo, Hongyi, et al.
Published: (2025)
by: Luo, Hongyi, et al.
Published: (2025)
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
by: Chen, Sijia, et al.
Published: (2024)
by: Chen, Sijia, et al.
Published: (2024)
CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation
by: Wang, Qinsi, et al.
Published: (2024)
by: Wang, Qinsi, et al.
Published: (2024)
Accelerating Large Language Model Inference with Self-Supervised Early Exits
by: Valade, Florian
Published: (2024)
by: Valade, Florian
Published: (2024)
Efficient Temporal Tokenization for Mobility Prediction with Large Language Models
by: He, Haoyu, et al.
Published: (2025)
by: He, Haoyu, et al.
Published: (2025)
Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training
by: Tran, Toan, et al.
Published: (2025)
by: Tran, Toan, et al.
Published: (2025)
Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference
by: Chen, Hongzheng, et al.
Published: (2023)
by: Chen, Hongzheng, et al.
Published: (2023)
Temporal Tokenization Strategies for Event Sequence Modeling with Large Language Models
by: Liu, Zefang, et al.
Published: (2025)
by: Liu, Zefang, et al.
Published: (2025)
Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference
by: Yuan, Han, et al.
Published: (2025)
by: Yuan, Han, et al.
Published: (2025)
Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models
by: Deng, Boyi, et al.
Published: (2026)
by: Deng, Boyi, et al.
Published: (2026)
Token-level Accept or Reject: A Micro Alignment Approach for Large Language Models
by: Zhang, Yang, et al.
Published: (2025)
by: Zhang, Yang, et al.
Published: (2025)
CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
by: Zheng, Wenhao, et al.
Published: (2025)
by: Zheng, Wenhao, et al.
Published: (2025)
DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
by: Thareja, Rushil, et al.
Published: (2025)
by: Thareja, Rushil, et al.
Published: (2025)
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
by: Song, Yuxuan, et al.
Published: (2025)
by: Song, Yuxuan, et al.
Published: (2025)
Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding
by: Zhang, Zhongjian, et al.
Published: (2026)
by: Zhang, Zhongjian, et al.
Published: (2026)
Multi-Layer Attention is the Amplifier of Demonstration Effectiveness
by: Wang, Dingzirui, et al.
Published: (2025)
by: Wang, Dingzirui, et al.
Published: (2025)
PrefixQuant: Eliminating Outliers by Prefixed Tokens for Large Language Models Quantization
by: Chen, Mengzhao, et al.
Published: (2024)
by: Chen, Mengzhao, et al.
Published: (2024)
SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification
by: Miao, Xupeng, et al.
Published: (2023)
by: Miao, Xupeng, et al.
Published: (2023)
Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning
by: Ma, Zhiyuan, et al.
Published: (2025)
by: Ma, Zhiyuan, et al.
Published: (2025)
FedPDPO: Federated Personalized Direct Preference Optimization for Large Language Model Alignment
by: Zhu, Kewen, et al.
Published: (2026)
by: Zhu, Kewen, et al.
Published: (2026)
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation
by: Zhang, Jiaxing, et al.
Published: (2024)
by: Zhang, Jiaxing, et al.
Published: (2024)
Accelerating Retrieval-Augmented Language Model Serving with Speculation
by: Zhang, Zhihao, et al.
Published: (2024)
by: Zhang, Zhihao, et al.
Published: (2024)
MOM: Memory-Efficient Offloaded Mini-Sequence Inference for Long Context Language Models
by: Zhang, Junyang, et al.
Published: (2025)
by: Zhang, Junyang, et al.
Published: (2025)
The Geometry of Tokens in Internal Representations of Large Language Models
by: Viswanathan, Karthik, et al.
Published: (2025)
by: Viswanathan, Karthik, et al.
Published: (2025)
Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models
by: Jain, Neel, et al.
Published: (2024)
by: Jain, Neel, et al.
Published: (2024)
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
by: Zhang, Tunyu, et al.
Published: (2025)
by: Zhang, Tunyu, et al.
Published: (2025)
CRVQ: Channel-Relaxed Vector Quantization for Extreme Compression of LLMs
by: Xu, Yuzhuang, et al.
Published: (2024)
by: Xu, Yuzhuang, et al.
Published: (2024)
Revealing Behavioral Plasticity in Large Language Models: A Token-Conditional Perspective
by: Mao, Liyuan, et al.
Published: (2026)
by: Mao, Liyuan, et al.
Published: (2026)
VERA: Variational Inference Framework for Jailbreaking Large Language Models
by: Lochab, Anamika, et al.
Published: (2025)
by: Lochab, Anamika, et al.
Published: (2025)
ProxyAttn: Guided Sparse Attention via Representative Heads
by: Wang, Yixuan, et al.
Published: (2025)
by: Wang, Yixuan, et al.
Published: (2025)
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
by: Liu, Zhiyuan, et al.
Published: (2025)
by: Liu, Zhiyuan, et al.
Published: (2025)
Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens
by: Zhang, Anqi, et al.
Published: (2024)
by: Zhang, Anqi, et al.
Published: (2024)
FlashDecoding++: Faster Large Language Model Inference on GPUs
by: Hong, Ke, et al.
Published: (2023)
by: Hong, Ke, et al.
Published: (2023)
Similar Items
-
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training
by: Wang, Yixuan, et al.
Published: (2024) -
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models
by: Luo, Xianzhen, et al.
Published: (2024) -
Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts
by: Luo, Xianzhen, et al.
Published: (2024) -
From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction
by: Zhu, Mingcheng, et al.
Published: (2026) -
Fine-Tuning Pre-trained Language Models to Detect In-Game Trash Talks
by: Fesalbon, Daniel, et al.
Published: (2024)