Cover Image

MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Mozhi, Wang, Pengyu, Tan, Chenkun, Huang, Mianqiu, Zhang, Dong, Zhou, Yaqian, Qiu, Xipeng
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SpeechAlign: Aligning Speech Generation to Human Preferences
by: Zhang, Dong, et al.
Published: (2024)

Calibrating the Confidence of Large Language Models by Eliciting Fidelity
by: Zhang, Mozhi, et al.
Published: (2024)

LongSafety: Enhance Safety for Long-Context LLMs
by: Huang, Mianqiu, et al.
Published: (2024)

InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance
by: Wang, Pengyu, et al.
Published: (2024)

Decoupled Proxy Alignment: Mitigating Language Prior Conflict for Multimodal Alignment in MLLM
by: Tan, Chenkun, et al.
Published: (2025)

MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
by: Yang, Kailai, et al.
Published: (2024)

SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
by: Zhang, Xin, et al.
Published: (2023)

UnifiedVisual: A Framework for Constructing Unified Vision-Language Datasets
by: Wang, Pengyu, et al.
Published: (2025)

SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems
by: Zhang, Dong, et al.
Published: (2024)

Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
by: Zhang, Mozhi, et al.
Published: (2025)

Aligning Large Language Models with Searcher Preferences
by: Wu, Wei, et al.
Published: (2026)

Thus Spake Long-Context Large Language Model
by: Liu, Xiaoran, et al.
Published: (2025)

Aligning Large Language Models with Human Preferences through Representation Engineering
by: Liu, Wenhao, et al.
Published: (2023)

BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
by: Wang, Xinghao, et al.
Published: (2024)

Aligning Large Language Models with Implicit Preferences from User-Generated Content
by: Tan, Zhaoxuan, et al.
Published: (2025)

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models
by: Xu, Ningyu, et al.
Published: (2026)

Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data?
by: Qi, Xuan, et al.
Published: (2025)

Aligning Large Language Models with Diverse Political Viewpoints
by: Stammbach, Dominik, et al.
Published: (2024)

Sparser Block-Sparse Attention via Token Permutation
by: Wang, Xinghao, et al.
Published: (2025)

Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
by: Gong, Zhuocheng, et al.
Published: (2025)

Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data
by: Xia, Han, et al.
Published: (2024)

Aligning Large Language Model Behavior with Human Citation Preferences
by: Ando, Kenichiro, et al.
Published: (2026)

CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language Models
by: Zhou, Guanghao, et al.
Published: (2025)

Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models
by: Gu, Yanggan, et al.
Published: (2025)

Attention-Aligned Reasoning for Large Language Models
by: Zhang, Hongxiang, et al.
Published: (2025)

ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time
by: Ding, Yi, et al.
Published: (2024)

Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation
by: Zhu, Qin, et al.
Published: (2024)

Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy
by: Jiang, Eric Hanchen, et al.
Published: (2025)

ProSocialAlign: Preference Conditioned Test Time Alignment in Language Models
by: Banerjee, Somnath, et al.
Published: (2025)

Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
by: Liu, Yinhong, et al.
Published: (2024)

AlignCultura: Towards Culturally Aligned Large Language Models?
by: Kashyap, Gautam Siddharth, et al.
Published: (2026)

SMRC: Aligning Large Language Models with Student Reasoning for Mathematical Error Correction
by: Zeng, Biaojie, et al.
Published: (2025)

Preference-Guided Reflective Sampling for Aligning Language Models
by: Ye, Hai, et al.
Published: (2024)

Prior Constraints-based Reward Model Training for Aligning Large Language Models
by: Zhou, Hang, et al.
Published: (2024)

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
by: Zhou, Yiyang, et al.
Published: (2024)

CM-Align: Consistency-based Multilingual Alignment for Large Language Models
by: Zhang, Xue, et al.
Published: (2025)

Aligning Language Models with Human Preferences via a Bayesian Approach
by: Wang, Jiashuo, et al.
Published: (2023)

TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
by: Liao, Weibin, et al.
Published: (2024)

Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
by: Zhou, Han, et al.
Published: (2024)

AlignBench: Benchmarking Chinese Alignment of Large Language Models
by: Liu, Xiao, et al.
Published: (2023)