:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xiong, Shengwu., Zou, Tianyu., Wang, Cong., Li, Xuelong
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2506.21572
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis
by: Liu, Runzhou, et al.
Published: (2026)

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

Beyond Textual Context: Structural Graph Encoding with Adaptive Space Alignment to alleviate the hallucination of LLMs
by: Zhang, Yifang, et al.
Published: (2025)

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

AlignSurvey: A Comprehensive Benchmark for Human Preferences Alignment in Social Surveys
by: Lin, Chenxi, et al.
Published: (2025)

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

Information Density Principle for MLLM Benchmarks
by: Li, Chunyi, et al.
Published: (2025)

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

AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference
by: Han, Yang, et al.
Published: (2024)

Evaluating and Aligning CodeLLMs on Human Preference
by: Yang, Jian, et al.
Published: (2024)

Improve MLLM Benchmark Efficiency through Interview
by: Wen, Farong, et al.
Published: (2025)

Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation
by: Wu, Jingwen, et al.
Published: (2026)

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

Arch-Router: Aligning LLM Routing with Human Preferences
by: Tran, Co, et al.
Published: (2025)

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback
by: Gao, Songyang, et al.
Published: (2024)

BATON: Aligning Text-to-Audio Model with Human Preference Feedback
by: Liao, Huan, et al.
Published: (2024)

Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation
by: Zou, Tianyu, et al.
Published: (2025)

AlignCap: Aligning Speech Emotion Captioning to Human Preferences
by: Liang, Ziqi, et al.
Published: (2024)

Rethinking Ground Truth: A Case Study on Human Label Variation in MLLM Benchmarking
by: Ruiz, Tomas, et al.
Published: (2026)

Boosting Chart-to-Code Generation in MLLM via Dual Preference-Guided Refinement
by: Zhang, Zhihan, et al.
Published: (2025)

DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization
by: Zhou, Zhenglin, et al.
Published: (2025)

GeoAlign: Geometric Feature Realignment for MLLM Spatial Reasoning
by: Liu, Zhaochen, et al.
Published: (2026)

MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time
by: Zhang, Mozhi, et al.
Published: (2024)

Tool Retrieval Bridge: Aligning Vague Instructions with Retriever Preferences via Bridge Model
by: Chen, Kunfeng, et al.
Published: (2026)

Evaluating and Aligning Human Economic Risk Preferences in LLMs
by: Liu, Jiaxin, et al.
Published: (2025)

Clean First, Align Later: Benchmarking Preference Data Cleaning for Reliable LLM Alignment
by: Yeh, Samuel, et al.
Published: (2025)

Aligning to Thousands of Preferences via System Message Generalization
by: Lee, Seongyun, et al.
Published: (2024)

Sentence-level Reward Model can Generalize Better for Aligning LLM from Human Preference
by: Qiu, Wenjie, et al.
Published: (2025)

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization
by: Li, Junsong, et al.
Published: (2025)

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation
by: Yu, Donglei, et al.
Published: (2025)

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

Aligning LLMs with Individual Preferences via Interaction
by: Wu, Shujin, et al.
Published: (2024)

Vibe Checker: Aligning Code Evaluation with Human Preference
by: Zhong, Ming, et al.
Published: (2025)

Aligning Model Evaluations with Human Preferences: Mitigating Token Count Bias in Language Model Assessments
by: Daynauth, Roland, et al.
Published: (2024)

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

Aligning Large Language Models with Implicit Preferences from User-Generated Content
by: Tan, Zhaoxuan, 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)

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

Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model
by: Zhu, Wenhong, et al.
Published: (2024)