Saved in:
| Main Authors: | Zhang, Runze, Zhang, Xiaowei, Zhao, Mingyang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.03310 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Synthesizing Attitudes, Predicting Actions (SAPA): Behavioral Theory-Guided LLMs for Ridesourcing Mode Choice Modeling
by: Sameen, Mustafa, et al.
Published: (2025)
by: Sameen, Mustafa, et al.
Published: (2025)
How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge
by: Gao, Wayne, et al.
Published: (2026)
by: Gao, Wayne, et al.
Published: (2026)
Training Verification-Friendly Neural Networks via Neuron Behavior Consistency
by: Liu, Zongxin, et al.
Published: (2024)
by: Liu, Zongxin, et al.
Published: (2024)
Large Language Models for Missing Data Imputation: Understanding Behavior, Hallucination Effects, and Control Mechanisms
by: Mangussi, Arthur Dantas, et al.
Published: (2026)
by: Mangussi, Arthur Dantas, et al.
Published: (2026)
Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness
by: Zhao, Chuang, et al.
Published: (2025)
by: Zhao, Chuang, et al.
Published: (2025)
Eliciting Numerical Predictive Distributions of LLMs Without Autoregression
by: Piskorz, Julianna, et al.
Published: (2026)
by: Piskorz, Julianna, et al.
Published: (2026)
Uncertainty-aware Traffic Prediction under Missing Data
by: Mei, Hao, et al.
Published: (2023)
by: Mei, Hao, et al.
Published: (2023)
FedRecon: Missing Modality Reconstruction in Heterogeneous Distributed Environments
by: Liu, Junming, et al.
Published: (2025)
by: Liu, Junming, et al.
Published: (2025)
Distributionally Robust Transfer Learning with Structurally Missing Covariates, with Application to Cross-National Cardiac Arrest Prediction
by: Li, Siqi, et al.
Published: (2026)
by: Li, Siqi, et al.
Published: (2026)
A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction
by: Liu, Zhipeng, et al.
Published: (2025)
by: Liu, Zhipeng, et al.
Published: (2025)
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
by: Li, Zhuowan, et al.
Published: (2024)
by: Li, Zhuowan, et al.
Published: (2024)
Time Series Treatment Effects Analysis with Always-Missing Controls
by: Shu, Juan, et al.
Published: (2025)
by: Shu, Juan, et al.
Published: (2025)
Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis
by: Zhao, Jiaqi, et al.
Published: (2025)
by: Zhao, Jiaqi, et al.
Published: (2025)
Robust Simulation-Based Inference under Missing Data via Neural Processes
by: Verma, Yogesh, et al.
Published: (2025)
by: Verma, Yogesh, et al.
Published: (2025)
SmartBench: Evaluating LLMs in Smart Homes with Anomalous Device States and Behavioral Contexts
by: Zou, Qingsong, et al.
Published: (2026)
by: Zou, Qingsong, et al.
Published: (2026)
Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining
by: Niu, Yaru, et al.
Published: (2025)
by: Niu, Yaru, et al.
Published: (2025)
AgroFlux: A Spatial-Temporal Benchmark for Carbon and Nitrogen Flux Prediction in Agricultural Ecosystems
by: Cheng, Qi, et al.
Published: (2026)
by: Cheng, Qi, et al.
Published: (2026)
Prediction Is Not Physics: Learning and Evaluating Conserved Quantities in Neural Simulators
by: Bukowski, Andrew, et al.
Published: (2026)
by: Bukowski, Andrew, et al.
Published: (2026)
BEAT-Net: Injecting Biomimetic Spatio-Temporal Priors for Interpretable ECG Classification
by: Ma, Runze, et al.
Published: (2026)
by: Ma, Runze, et al.
Published: (2026)
IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing Modalities
by: Huo, Yejing, et al.
Published: (2024)
by: Huo, Yejing, et al.
Published: (2024)
Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution
by: Ferrini, Francesco, et al.
Published: (2026)
by: Ferrini, Francesco, et al.
Published: (2026)
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
by: Zhou, Zikang, et al.
Published: (2024)
by: Zhou, Zikang, et al.
Published: (2024)
Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion
by: He, Wenying, et al.
Published: (2025)
by: He, Wenying, et al.
Published: (2025)
Contextual Thompson Sampling via Generation of Missing Data
by: Zhang, Kelly W., et al.
Published: (2025)
by: Zhang, Kelly W., et al.
Published: (2025)
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
by: Chen, Hanyang, et al.
Published: (2024)
by: Chen, Hanyang, et al.
Published: (2024)
Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces
by: Chen, Jiawei, et al.
Published: (2026)
by: Chen, Jiawei, et al.
Published: (2026)
SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction
by: Gao, Xiaowei, et al.
Published: (2024)
by: Gao, Xiaowei, et al.
Published: (2024)
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
by: Yu, Chengqing, et al.
Published: (2024)
by: Yu, Chengqing, et al.
Published: (2024)
Predictive Clustering of Vessel Behavior Based on Hierarchical Trajectory Representation
by: Zhang, Rui, et al.
Published: (2024)
by: Zhang, Rui, et al.
Published: (2024)
Revisiting Multivariate Time Series Forecasting with Missing Values
by: Yang, Jie, et al.
Published: (2025)
by: Yang, Jie, et al.
Published: (2025)
Missing value imputation with adversarial random forests -- MissARF
by: Golchian, Pegah, et al.
Published: (2025)
by: Golchian, Pegah, et al.
Published: (2025)
Post-hoc Interpretability Illumination for Scientific Interaction Discovery
by: Zhang, Ling, et al.
Published: (2024)
by: Zhang, Ling, et al.
Published: (2024)
When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models
by: Zhang, Nan, et al.
Published: (2025)
by: Zhang, Nan, et al.
Published: (2025)
Rethinking Thinking Tokens: LLMs as Improvement Operators
by: Madaan, Lovish, et al.
Published: (2025)
by: Madaan, Lovish, et al.
Published: (2025)
FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
by: Li, Runze, et al.
Published: (2025)
by: Li, Runze, et al.
Published: (2025)
Organ-Agents: Virtual Human Physiology Simulator via LLMs
by: Chang, Rihao, et al.
Published: (2025)
by: Chang, Rihao, et al.
Published: (2025)
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
by: Sun, Mingyang, et al.
Published: (2025)
by: Sun, Mingyang, et al.
Published: (2025)
Stratos: An End-to-End Distillation Pipeline for Customized LLMs under Distributed Cloud Environments
by: Dai, Ziming, et al.
Published: (2025)
by: Dai, Ziming, et al.
Published: (2025)
Where You Go is Who You Are: Behavioral Theory-Guided LLMs for Inverse Reinforcement Learning
by: Sun, Yuran, et al.
Published: (2025)
by: Sun, Yuran, et al.
Published: (2025)
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
by: Bai, Fengshuo, et al.
Published: (2024)
by: Bai, Fengshuo, et al.
Published: (2024)
Similar Items
-
Synthesizing Attitudes, Predicting Actions (SAPA): Behavioral Theory-Guided LLMs for Ridesourcing Mode Choice Modeling
by: Sameen, Mustafa, et al.
Published: (2025) -
How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge
by: Gao, Wayne, et al.
Published: (2026) -
Training Verification-Friendly Neural Networks via Neuron Behavior Consistency
by: Liu, Zongxin, et al.
Published: (2024) -
Large Language Models for Missing Data Imputation: Understanding Behavior, Hallucination Effects, and Control Mechanisms
by: Mangussi, Arthur Dantas, et al.
Published: (2026) -
Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness
by: Zhao, Chuang, et al.
Published: (2025)