Saved in:
| Main Authors: | You, Linjing, Lu, Jiabao, Huang, Xiayuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.00533 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FRET: Feature Redundancy Elimination for Test Time Adaptation
by: You, Linjing, et al.
Published: (2025)
by: You, Linjing, et al.
Published: (2025)
Test-time Adaptation for Regression by Subspace Alignment
by: Adachi, Kazuki, et al.
Published: (2024)
by: Adachi, Kazuki, et al.
Published: (2024)
Learning Dynamics in Continual Pre-Training for Large Language Models
by: Wang, Xingjin, et al.
Published: (2025)
by: Wang, Xingjin, et al.
Published: (2025)
SOAR: Self-Correction for Optimal Alignment and Refinement in Diffusion Models
by: Qin, You, et al.
Published: (2026)
by: Qin, You, et al.
Published: (2026)
TARo: Token-level Adaptive Routing for LLM Test-time Alignment
by: Rai, Arushi, et al.
Published: (2026)
by: Rai, Arushi, et al.
Published: (2026)
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
by: Lei, Shiqi, et al.
Published: (2024)
by: Lei, Shiqi, et al.
Published: (2024)
Test-Time Safety Alignment
by: Saglam, Baturay, et al.
Published: (2026)
by: Saglam, Baturay, et al.
Published: (2026)
Does Homophily Help in Robust Test-time Node Classification?
by: Jiang, Yan, et al.
Published: (2025)
by: Jiang, Yan, et al.
Published: (2025)
Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning
by: Yang, Zhaohui, et al.
Published: (2025)
by: Yang, Zhaohui, et al.
Published: (2025)
Un-mixing Test-time Adaptation under Heterogeneous Data Streams
by: Su, Zixian, et al.
Published: (2024)
by: Su, Zixian, et al.
Published: (2024)
Deliberative Alignment is Deep, but Uncertainty Remains: Inference time safety improvement in reasoning via attribution of unsafe behavior to base model
by: Pathmanathan, Pankayaraj, et al.
Published: (2026)
by: Pathmanathan, Pankayaraj, et al.
Published: (2026)
Prioritize Alignment in Dataset Distillation
by: Li, Zekai, et al.
Published: (2024)
by: Li, Zekai, et al.
Published: (2024)
Sample Complexity and Representation Ability of Test-time Scaling Paradigms
by: Huang, Baihe, et al.
Published: (2025)
by: Huang, Baihe, et al.
Published: (2025)
Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning
by: Han, Seungyub, et al.
Published: (2026)
by: Han, Seungyub, et al.
Published: (2026)
Alignment Dynamics in LLM Fine-Tuning
by: Huang, Yuhan, et al.
Published: (2026)
by: Huang, Yuhan, et al.
Published: (2026)
Identifying Spurious Correlations using Counterfactual Alignment
by: Cohen, Joseph Paul, et al.
Published: (2023)
by: Cohen, Joseph Paul, et al.
Published: (2023)
Test-Time Alignment of LLMs via Sampling-Based Optimal Control in pre-logit space
by: Kanai, Sekitoshi, et al.
Published: (2025)
by: Kanai, Sekitoshi, et al.
Published: (2025)
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
by: Lin, Baijiong, et al.
Published: (2025)
by: Lin, Baijiong, et al.
Published: (2025)
Towards a Learning Theory of Representation Alignment
by: Insulla, Francesco, et al.
Published: (2025)
by: Insulla, Francesco, et al.
Published: (2025)
Test-time scaling of diffusions with flow maps
by: Sabour, Amirmojtaba, et al.
Published: (2025)
by: Sabour, Amirmojtaba, et al.
Published: (2025)
Test-time Adaptation of Tiny Recursive Models
by: McGovern, Ronan Killian
Published: (2025)
by: McGovern, Ronan Killian
Published: (2025)
Contrastive Residual Energy Test-time Adaptation
by: Han, Yewon, et al.
Published: (2025)
by: Han, Yewon, et al.
Published: (2025)
Fully Test-time Adaptation for Tabular Data
by: Zhou, Zhi, et al.
Published: (2024)
by: Zhou, Zhi, et al.
Published: (2024)
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment
by: Li, Cheryl, et al.
Published: (2025)
by: Li, Cheryl, et al.
Published: (2025)
Test-time Diverse Reasoning by Riemannian Activation Steering
by: Khanh, Ly Tran Ho, et al.
Published: (2025)
by: Khanh, Ly Tran Ho, et al.
Published: (2025)
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors
by: Liang, Ren-Wei, et al.
Published: (2025)
by: Liang, Ren-Wei, et al.
Published: (2025)
Test-time Alignment of Diffusion Models without Reward Over-optimization
by: Kim, Sunwoo, et al.
Published: (2025)
by: Kim, Sunwoo, et al.
Published: (2025)
GOODAT: Towards Test-time Graph Out-of-Distribution Detection
by: Wang, Luzhi, et al.
Published: (2024)
by: Wang, Luzhi, et al.
Published: (2024)
Combating Spurious Correlations in Graph Interpretability via Self-Reflection
by: Cai, Kecheng, et al.
Published: (2026)
by: Cai, Kecheng, et al.
Published: (2026)
Topological Alignment of Shared Vision-Language Embedding Space
by: You, Junwon, et al.
Published: (2025)
by: You, Junwon, et al.
Published: (2025)
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
by: Jin, Gaojie, et al.
Published: (2024)
by: Jin, Gaojie, et al.
Published: (2024)
CAPS: Unifying Attention, Recurrence, and Alignment in Transformer-based Time Series Forecasting
by: Pati, Viresh, et al.
Published: (2026)
by: Pati, Viresh, et al.
Published: (2026)
Adversarial Preference Learning for Robust LLM Alignment
by: Wang, Yuanfu, et al.
Published: (2025)
by: Wang, Yuanfu, et al.
Published: (2025)
Adaptive Test-Time Training for Predicting Need for Invasive Mechanical Ventilation in Multi-Center Cohorts
by: Lu, Xiaolei, et al.
Published: (2025)
by: Lu, Xiaolei, et al.
Published: (2025)
Provably Mitigating Corruption, Overoptimization, and Verbosity Simultaneously in Offline and Online RLHF/DPO Alignment
by: Chen, Ziyi, et al.
Published: (2025)
by: Chen, Ziyi, et al.
Published: (2025)
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
by: Zhou, Weichao, et al.
Published: (2024)
by: Zhou, Weichao, et al.
Published: (2024)
The Energy Cost of Reasoning: Analyzing Energy Usage in LLMs with Test-time Compute
by: Jin, Yunho, et al.
Published: (2025)
by: Jin, Yunho, et al.
Published: (2025)
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
by: Kim, HyunGi, et al.
Published: (2025)
by: Kim, HyunGi, et al.
Published: (2025)
From Generic Correlation to Input-Specific Credit in On-Policy Self Distillation
by: Shen, Guobin, et al.
Published: (2026)
by: Shen, Guobin, et al.
Published: (2026)
MANTA: Multi-turn Assessment for Nonhuman Thinking & Alignment
by: Lu, Allen, et al.
Published: (2026)
by: Lu, Allen, et al.
Published: (2026)
Similar Items
-
FRET: Feature Redundancy Elimination for Test Time Adaptation
by: You, Linjing, et al.
Published: (2025) -
Test-time Adaptation for Regression by Subspace Alignment
by: Adachi, Kazuki, et al.
Published: (2024) -
Learning Dynamics in Continual Pre-Training for Large Language Models
by: Wang, Xingjin, et al.
Published: (2025) -
SOAR: Self-Correction for Optimal Alignment and Refinement in Diffusion Models
by: Qin, You, et al.
Published: (2026) -
TARo: Token-level Adaptive Routing for LLM Test-time Alignment
by: Rai, Arushi, et al.
Published: (2026)