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Papers
Calibrating Inference Time Alignment with Sequence-level Risk Accumulation
ACL 2026
KAD: A Framework for Proxy-based Test-time Alignment with Knapsack Approximation Deferral
EACL 2026
LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models
AAAI 2026
On the Rejection Criterion for Proxy-based Test-time Alignment
ACL 2026
Pref-CTRL: Preference Driven LLM Alignment using Representation Editing
ACL 2026
Property-Informed Diffusion-Based Text-to-Microstructure Generation
CVPR 2026
Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation
CVPR 2026
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment
ICLR 2025
Reward-Shifted Speculative Sampling Is An Efficient Test-Time Weak-to-Strong Aligner
EMNLP 2025
Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior
AAAI 2025
Aligning Large Language Models with Representation Editing: A Control Perspective
NeurIPS 2024
ARGS: Alignment as Reward-Guided Search
ICLR 2024
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations
EMNLP 2024