How Can Large Language Models Understand Spatial-Temporal Data?
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Lei, Yu, Shuo, Wang, Runze, Ma, Zhenxun, Shen, Yanming |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spatial-Temporal Large Language Model for Traffic Prediction
by: Liu, Chenxi, et al.
Published: (2024)
by: Liu, Chenxi, et al.
Published: (2024)
Bridging Molecular Graphs and Large Language Models
by: Wang, Runze, et al.
Published: (2025)
by: Wang, Runze, et al.
Published: (2025)
Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought
by: Jiao, Yuling, et al.
Published: (2026)
by: Jiao, Yuling, et al.
Published: (2026)
Can Large Language Models Understand Molecules?
by: Sadeghi, Shaghayegh, et al.
Published: (2024)
by: Sadeghi, Shaghayegh, et al.
Published: (2024)
LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics
by: Tang, Jialiang, et al.
Published: (2025)
by: Tang, Jialiang, et al.
Published: (2025)
ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of Events
by: Islakoglu, Duygu Sezen, et al.
Published: (2025)
by: Islakoglu, Duygu Sezen, et al.
Published: (2025)
Can Large Language Models Understand Intermediate Representations in Compilers?
by: Jiang, Hailong, et al.
Published: (2025)
by: Jiang, Hailong, et al.
Published: (2025)
Spectral Insights into Data-Oblivious Critical Layers in Large Language Models
by: Liu, Xuyuan, et al.
Published: (2025)
by: Liu, Xuyuan, et al.
Published: (2025)
Confidence Geometry Reveals Trace-Level Correctness in Large Language Model Reasoning
by: Liu, Shuo, et al.
Published: (2026)
by: Liu, Shuo, et al.
Published: (2026)
First Activations Matter: Training-Free Methods for Dynamic Activation in Large Language Models
by: Ma, Chi, et al.
Published: (2024)
by: Ma, Chi, et al.
Published: (2024)
Can Large Language Models Understand Symbolic Graphics Programs?
by: Qiu, Zeju, et al.
Published: (2024)
by: Qiu, Zeju, et al.
Published: (2024)
Bias in Large Language Models: Origin, Evaluation, and Mitigation
by: Guo, Yufei, et al.
Published: (2024)
by: Guo, Yufei, et al.
Published: (2024)
Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models
by: Qi, Zhen, et al.
Published: (2024)
by: Qi, Zhen, et al.
Published: (2024)
How Can Quantum Deep Learning Improve Large Language Models?
by: Roh, Emily Jimin, et al.
Published: (2025)
by: Roh, Emily Jimin, et al.
Published: (2025)
Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models
by: Das, Rocktim Jyoti, et al.
Published: (2023)
by: Das, Rocktim Jyoti, 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)
How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective
by: Liu, Qi, et al.
Published: (2025)
by: Liu, Qi, et al.
Published: (2025)
Prompting Large Language Models for Clinical Temporal Relation Extraction
by: He, Jianping, et al.
Published: (2024)
by: He, Jianping, et al.
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)
Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
by: Gan, Woody Haosheng, et al.
Published: (2025)
by: Gan, Woody Haosheng, et al.
Published: (2025)
Can Large Language Models Generalize Procedures Across Representations?
by: Lin, Fangru, et al.
Published: (2026)
by: Lin, Fangru, et al.
Published: (2026)
A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions
by: Liu, Lei, et al.
Published: (2024)
by: Liu, Lei, et al.
Published: (2024)
Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning
by: Zhang, Hanlu, et al.
Published: (2025)
by: Zhang, Hanlu, et al.
Published: (2025)
Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval
by: Ji, Luo, et al.
Published: (2024)
by: Ji, Luo, et al.
Published: (2024)
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models
by: Liu, Zefang, et al.
Published: (2024)
by: Liu, Zefang, et al.
Published: (2024)
How to Make Large Language Models Generate 100% Valid Molecules?
by: Tao, Wen, et al.
Published: (2025)
by: Tao, Wen, et al.
Published: (2025)
Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models
by: Zhang, Ze Yu, et al.
Published: (2024)
by: Zhang, Ze Yu, et al.
Published: (2024)
Temporally Consistent Factuality Probing for Large Language Models
by: Bajpai, Ashutosh, et al.
Published: (2024)
by: Bajpai, Ashutosh, et al.
Published: (2024)
Are Large Language Models Good Temporal Graph Learners?
by: Huang, Shenyang, et al.
Published: (2025)
by: Huang, Shenyang, et al.
Published: (2025)
How Creative Are Large Language Models in Generating Molecules?
by: Tao, Wen, et al.
Published: (2026)
by: Tao, Wen, et al.
Published: (2026)
DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models
by: Liang, Hao, et al.
Published: (2026)
by: Liang, Hao, et al.
Published: (2026)
Can Large Language Models Transform Computational Social Science?
by: Ziems, Caleb, et al.
Published: (2023)
by: Ziems, Caleb, et al.
Published: (2023)
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
by: Ma, Shuming, et al.
Published: (2024)
by: Ma, Shuming, et al.
Published: (2024)
Discursive Circuits: How Do Language Models Understand Discourse Relations?
by: Miao, Yisong, et al.
Published: (2025)
by: Miao, Yisong, et al.
Published: (2025)
Model Merging in Pre-training of Large Language Models
by: Li, Yunshui, et al.
Published: (2025)
by: Li, Yunshui, et al.
Published: (2025)
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
by: Dong, Guanting, et al.
Published: (2023)
by: Dong, Guanting, et al.
Published: (2023)
Large Language Models Lack Temporal Awareness of Medical Knowledge
by: Guan, Zihan, et al.
Published: (2026)
by: Guan, Zihan, et al.
Published: (2026)
Off-Policy Value-Based Reinforcement Learning for Large Language Models
by: Wang, Peng-Yuan, et al.
Published: (2026)
by: Wang, Peng-Yuan, et al.
Published: (2026)
What Does the Server See? Understanding Privacy Leakage from Large Language Models in Split Inference
by: Fan, Mingyuan, et al.
Published: (2026)
by: Fan, Mingyuan, et al.
Published: (2026)
How Quantization Shapes Bias in Large Language Models
by: Marcuzzi, Federico, et al.
Published: (2025)
by: Marcuzzi, Federico, et al.
Published: (2025)
Similar Items
-
Spatial-Temporal Large Language Model for Traffic Prediction
by: Liu, Chenxi, et al.
Published: (2024) -
Bridging Molecular Graphs and Large Language Models
by: Wang, Runze, et al.
Published: (2025) -
Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought
by: Jiao, Yuling, et al.
Published: (2026) -
Can Large Language Models Understand Molecules?
by: Sadeghi, Shaghayegh, et al.
Published: (2024) -
LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics
by: Tang, Jialiang, et al.
Published: (2025)