Efficient Temporal Tokenization for Mobility Prediction with Large Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | He, Haoyu, Luo, Haozheng, Chen, Yan, Wang, Qi R. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
por: He, Haoyu, et al.
Publicado: (2025)
por: He, Haoyu, et al.
Publicado: (2025)
ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Prediction
por: He, Haoyu, et al.
Publicado: (2024)
por: He, Haoyu, et al.
Publicado: (2024)
From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction
por: Zhu, Mingcheng, et al.
Publicado: (2026)
por: Zhu, Mingcheng, et al.
Publicado: (2026)
Temporal Tokenization Strategies for Event Sequence Modeling with Large Language Models
por: Liu, Zefang, et al.
Publicado: (2025)
por: Liu, Zefang, et al.
Publicado: (2025)
A Law of Next-Token Prediction in Large Language Models
por: He, Hangfeng, et al.
Publicado: (2024)
por: He, Hangfeng, et al.
Publicado: (2024)
FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
por: Luo, Haozheng, et al.
Publicado: (2026)
por: Luo, Haozheng, et al.
Publicado: (2026)
Token-Efficient Leverage Learning in Large Language Models
por: Zeng, Yuanhao, et al.
Publicado: (2024)
por: Zeng, Yuanhao, et al.
Publicado: (2024)
PrefixQuant: Eliminating Outliers by Prefixed Tokens for Large Language Models Quantization
por: Chen, Mengzhao, et al.
Publicado: (2024)
por: Chen, Mengzhao, et al.
Publicado: (2024)
Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
por: Cao, Qi, et al.
Publicado: (2026)
por: Cao, Qi, et al.
Publicado: (2026)
Spatial-Temporal Large Language Model for Traffic Prediction
por: Liu, Chenxi, et al.
Publicado: (2024)
por: Liu, Chenxi, et al.
Publicado: (2024)
Efficient Sequential Decision Making with Large Language Models
por: Chen, Dingyang, et al.
Publicado: (2024)
por: Chen, Dingyang, et al.
Publicado: (2024)
Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations
por: Luo, Haozheng, et al.
Publicado: (2026)
por: Luo, Haozheng, et al.
Publicado: (2026)
Parallel Token Prediction for Language Models
por: Draxler, Felix, et al.
Publicado: (2025)
por: Draxler, Felix, et al.
Publicado: (2025)
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling
por: Luo, Xianzhen, et al.
Publicado: (2024)
por: Luo, Xianzhen, et al.
Publicado: (2024)
HLAT: High-quality Large Language Model Pre-trained on AWS Trainium
por: Fan, Haozheng, et al.
Publicado: (2024)
por: Fan, Haozheng, et al.
Publicado: (2024)
Lossless Compression of Large Language Model-Generated Text via Next-Token Prediction
por: Mao, Yu, et al.
Publicado: (2025)
por: Mao, Yu, et al.
Publicado: (2025)
Differentially Private Next-Token Prediction of Large Language Models
por: Flemings, James, et al.
Publicado: (2024)
por: Flemings, James, et al.
Publicado: (2024)
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
por: Cui, Yingqian, et al.
Publicado: (2025)
por: Cui, Yingqian, et al.
Publicado: (2025)
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models
por: Liu, Tianci, et al.
Publicado: (2024)
por: Liu, Tianci, et al.
Publicado: (2024)
The Geometry of Tokens in Internal Representations of Large Language Models
por: Viswanathan, Karthik, et al.
Publicado: (2025)
por: Viswanathan, Karthik, et al.
Publicado: (2025)
Prompting Large Language Models for Clinical Temporal Relation Extraction
por: He, Jianping, et al.
Publicado: (2024)
por: He, Jianping, et al.
Publicado: (2024)
Probe and Skip: Self-Predictive Token Skipping for Efficient Long-Context LLM Inference
por: Wu, Zimeng, et al.
Publicado: (2026)
por: Wu, Zimeng, et al.
Publicado: (2026)
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models
por: Liu, Zefang, et al.
Publicado: (2024)
por: Liu, Zefang, et al.
Publicado: (2024)
Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning
por: Liu, Hanbing, et al.
Publicado: (2025)
por: Liu, Hanbing, et al.
Publicado: (2025)
IAPO: Information-Aware Policy Optimization for Token-Efficient Reasoning
por: He, Yinhan, et al.
Publicado: (2026)
por: He, Yinhan, et al.
Publicado: (2026)
Rethinking Token Prediction: Tree-Structured Diffusion Language Model
por: Wu, Zihao, et al.
Publicado: (2026)
por: Wu, Zihao, et al.
Publicado: (2026)
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
por: Zhang, Tunyu, et al.
Publicado: (2025)
por: Zhang, Tunyu, et al.
Publicado: (2025)
Efficient and Personalized Mobile Health Event Prediction via Small Language Models
por: Wang, Xin, et al.
Publicado: (2024)
por: Wang, Xin, et al.
Publicado: (2024)
Large Language Models Lack Temporal Awareness of Medical Knowledge
por: Guan, Zihan, et al.
Publicado: (2026)
por: Guan, Zihan, et al.
Publicado: (2026)
Compute Allocation in Evolutionary Search: From Depth-Breadth to Multi-Armed Bandits
por: Xing, Sixue, et al.
Publicado: (2026)
por: Xing, Sixue, et al.
Publicado: (2026)
Olica: Efficient Structured Pruning of Large Language Models without Retraining
por: He, Jiujun, et al.
Publicado: (2025)
por: He, Jiujun, et al.
Publicado: (2025)
CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
por: Zheng, Wenhao, et al.
Publicado: (2025)
por: Zheng, Wenhao, et al.
Publicado: (2025)
Beyond Next Token Prediction: Patch-Level Training for Large Language Models
por: Shao, Chenze, et al.
Publicado: (2024)
por: Shao, Chenze, et al.
Publicado: (2024)
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
por: Chen, Mengzhao, et al.
Publicado: (2024)
por: Chen, Mengzhao, et al.
Publicado: (2024)
Probabilistic Token Alignment for Large Language Model Fusion
por: Zeng, Runjia, et al.
Publicado: (2025)
por: Zeng, Runjia, et al.
Publicado: (2025)
Towards Linguistically-Aware and Language-Independent Tokenization for Large Language Models (LLMs)
por: Rahman, Abrar, et al.
Publicado: (2024)
por: Rahman, Abrar, et al.
Publicado: (2024)
Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models
por: Guo, Zhenyuan, et al.
Publicado: (2026)
por: Guo, Zhenyuan, et al.
Publicado: (2026)
Efficient Training of Language Models with Compact and Consistent Next Token Distributions
por: Sathe, Ashutosh, et al.
Publicado: (2024)
por: Sathe, Ashutosh, et al.
Publicado: (2024)
DiJiang: Efficient Large Language Models through Compact Kernelization
por: Chen, Hanting, et al.
Publicado: (2024)
por: Chen, Hanting, et al.
Publicado: (2024)
DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models
por: He, Wei, et al.
Publicado: (2024)
por: He, Wei, et al.
Publicado: (2024)
Ejemplares similares
-
RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
por: He, Haoyu, et al.
Publicado: (2025) -
ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Prediction
por: He, Haoyu, et al.
Publicado: (2024) -
From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction
por: Zhu, Mingcheng, et al.
Publicado: (2026) -
Temporal Tokenization Strategies for Event Sequence Modeling with Large Language Models
por: Liu, Zefang, et al.
Publicado: (2025) -
A Law of Next-Token Prediction in Large Language Models
por: He, Hangfeng, et al.
Publicado: (2024)