RAPTOR: Ridge-Adaptive Logistic Probes
Fuente:
arXiv
Saved in:
| Main Authors: | Gao, Ziqi, Zhu, Yaotian, Zeng, Qingcheng, Zhao, Xu, Wang, Ziqing, Ruan, Feng, Ding, Kaize |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GlassMol: Interpretable Molecular Property Prediction with Concept Bottleneck Models
by: Rivera, Oscar, et al.
Published: (2026)
by: Rivera, Oscar, et al.
Published: (2026)
Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis
by: Li, Daoyang, et al.
Published: (2024)
by: Li, Daoyang, et al.
Published: (2024)
MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
by: Wang, Ziqing, et al.
Published: (2026)
by: Wang, Ziqing, et al.
Published: (2026)
RAPTOR: A Foundation Policy for Quadrotor Control
by: Eschmann, Jonas, et al.
Published: (2025)
by: Eschmann, Jonas, et al.
Published: (2025)
GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
by: Xu, Ruiyao, et al.
Published: (2026)
by: Xu, Ruiyao, et al.
Published: (2026)
Beyond Sharp Minima: Robust LLM Unlearning via Feedback-Guided Multi-Point Optimization
by: Wu, Wenhan, et al.
Published: (2025)
by: Wu, Wenhan, et al.
Published: (2025)
Tackling Fake Forgetting through Uncertainty Quantification
by: Shi, Yingdan, et al.
Published: (2025)
by: Shi, Yingdan, et al.
Published: (2025)
Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality
by: Liu, Ziqi, et al.
Published: (2025)
by: Liu, Ziqi, et al.
Published: (2025)
POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization
by: Wang, Ziqing, et al.
Published: (2025)
by: Wang, Ziqing, et al.
Published: (2025)
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
by: Jin, Mingyu, et al.
Published: (2024)
by: Jin, Mingyu, et al.
Published: (2024)
Where to Build Food Banks and Pantries: A Two-Level Machine Learning Approach
by: Ruan, Gavin, et al.
Published: (2024)
by: Ruan, Gavin, et al.
Published: (2024)
Glocal Information Bottleneck for Time Series Imputation
by: Yang, Jie, et al.
Published: (2025)
by: Yang, Jie, et al.
Published: (2025)
Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy
by: Zhang, Xiaoyun, et al.
Published: (2025)
by: Zhang, Xiaoyun, et al.
Published: (2025)
Certified Signed Graph Unlearning
by: Zhao, Junpeng, et al.
Published: (2025)
by: Zhao, Junpeng, et al.
Published: (2025)
Revisiting Multivariate Time Series Forecasting with Missing Values
by: Yang, Jie, et al.
Published: (2025)
by: Yang, Jie, et al.
Published: (2025)
Provably Invincible Adversarial Attacks on Reinforcement Learning Systems: A Rate-Distortion Information-Theoretic Approach
by: Lu, Ziqing, et al.
Published: (2025)
by: Lu, Ziqing, et al.
Published: (2025)
Multi-View Wireless Sensing via Conditional Generative Learning: Framework and Model Design
by: Xing, Ziqing, et al.
Published: (2025)
by: Xing, Ziqing, et al.
Published: (2025)
A Survey on Model Extraction Attacks and Defenses for Large Language Models
by: Zhao, Kaixiang, et al.
Published: (2025)
by: Zhao, Kaixiang, et al.
Published: (2025)
A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives
by: Zhao, Kaixiang, et al.
Published: (2025)
by: Zhao, Kaixiang, et al.
Published: (2025)
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments
by: Zhao, Kaixiang, et al.
Published: (2025)
by: Zhao, Kaixiang, et al.
Published: (2025)
MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection
by: Xu, Xiongxiao, et al.
Published: (2023)
by: Xu, Xiongxiao, et al.
Published: (2023)
ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting
by: Shi, Jiacheng, et al.
Published: (2025)
by: Shi, Jiacheng, et al.
Published: (2025)
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
by: Zong, Zefang, et al.
Published: (2021)
by: Zong, Zefang, et al.
Published: (2021)
Factor Decorrelation Enhanced Data Removal from Deep Predictive Models
by: Yang, Wenhao, et al.
Published: (2025)
by: Yang, Wenhao, et al.
Published: (2025)
Continual Task Learning through Adaptive Policy Self-Composition
by: Hu, Shengchao, et al.
Published: (2024)
by: Hu, Shengchao, et al.
Published: (2024)
Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics
by: Niu, Tian, et al.
Published: (2024)
by: Niu, Tian, et al.
Published: (2024)
RMLR: Extending Multinomial Logistic Regression into General Geometries
by: Chen, Ziheng, et al.
Published: (2024)
by: Chen, Ziheng, et al.
Published: (2024)
Dynamic Evaluation of Large Language Models by Meta Probing Agents
by: Zhu, Kaijie, et al.
Published: (2024)
by: Zhu, Kaijie, et al.
Published: (2024)
Grokking in Linear Models for Logistic Regression
by: Das, Nataraj, et al.
Published: (2026)
by: Das, Nataraj, et al.
Published: (2026)
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models
by: Liu, Qi, et al.
Published: (2025)
by: Liu, Qi, et al.
Published: (2025)
Adaptive Dual-Weighting Framework for Federated Learning via Out-of-Distribution Detection
by: Ling, Zhiwei, et al.
Published: (2026)
by: Ling, Zhiwei, et al.
Published: (2026)
PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling
by: Jian, Ai, et al.
Published: (2025)
by: Jian, Ai, et al.
Published: (2025)
Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
by: Hu, Zhengyu, et al.
Published: (2024)
by: Hu, Zhengyu, et al.
Published: (2024)
Causal Micro-Narratives
by: Heddaya, Mourad, et al.
Published: (2024)
by: Heddaya, Mourad, et al.
Published: (2024)
Choosing How to Remember: Adaptive Memory Structures for LLM Agents
by: Lu, Mingfei, et al.
Published: (2026)
by: Lu, Mingfei, et al.
Published: (2026)
VP-VAE: Rethinking Vector Quantization via Adaptive Vector Perturbation
by: Zhai, Linwei, et al.
Published: (2026)
by: Zhai, Linwei, et al.
Published: (2026)
FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting
by: Ouyang, Pengpeng, et al.
Published: (2025)
by: Ouyang, Pengpeng, et al.
Published: (2025)
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
by: Ding, Mucong, et al.
Published: (2024)
by: Ding, Mucong, et al.
Published: (2024)
SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting
by: Zheng, Binbin, et al.
Published: (2026)
by: Zheng, Binbin, et al.
Published: (2026)
Synthetic Forgetting without Access: A Few-shot Zero-glance Framework for Machine Unlearning
by: Song, Qipeng, et al.
Published: (2025)
by: Song, Qipeng, et al.
Published: (2025)
Similar Items
-
GlassMol: Interpretable Molecular Property Prediction with Concept Bottleneck Models
by: Rivera, Oscar, et al.
Published: (2026) -
Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis
by: Li, Daoyang, et al.
Published: (2024) -
MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
by: Wang, Ziqing, et al.
Published: (2026) -
RAPTOR: A Foundation Policy for Quadrotor Control
by: Eschmann, Jonas, et al.
Published: (2025) -
GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
by: Xu, Ruiyao, et al.
Published: (2026)