:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Yanan, Ge, Yong
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2604.21209
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MVPBench: A Benchmark and Fine-Tuning Framework for Aligning Large Language Models with Diverse Human Values
by: Liang, Yao, et al.
Published: (2025)

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

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

The Real, the Better: Aligning Large Language Models with Online Human Behaviors
by: Jiang, Guanying, et al.
Published: (2024)

Impact of Fine-Tuning Methods on Memorization in Large Language Models
by: Hou, Jie, et al.
Published: (2025)

Fine Tuning Large Language Models for Medicine: The Role and Importance of Direct Preference Optimization
by: Savage, Thomas, et al.
Published: (2024)

GUNDAM: Aligning Large Language Models with Graph Understanding
by: Ouyang, Sheng, et al.
Published: (2024)

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

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

Phased Instruction Fine-Tuning for Large Language Models
by: Pang, Wei, et al.
Published: (2024)

Memorization in Fine-Tuned Large Language Models
by: Savine, Danil
Published: (2025)

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

Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
by: Song, Feifan, et al.
Published: (2024)

Safety-Aware Fine-Tuning of Large Language Models
by: Choi, Hyeong Kyu, et al.
Published: (2024)

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations
by: Zhu, Jian-Qiao, et al.
Published: (2025)

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

Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models
by: Jiang, Haitao, et al.
Published: (2026)

Boosting Large Language Models with Mask Fine-Tuning
by: Zhang, Mingyuan, et al.
Published: (2025)

Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models
by: Barnett, Scott, et al.
Published: (2024)

Routing-Aligned Fine-Tuning for Multilingual Downstream Tasks in Mixture-of-Experts Models
by: Deng, Guanzhi, et al.
Published: (2026)

Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation
by: Kang, Deokhyung, et al.
Published: (2025)

Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks
by: Efeoglu, Sefika, et al.
Published: (2024)

GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
by: Ferrara, Emilio
Published: (2023)

Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting
by: Ding, Fei, et al.
Published: (2025)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
by: Lyu, Yougang, et al.
Published: (2024)

Reversing Large Language Models for Efficient Training and Fine-Tuning
by: Gal, Eshed, et al.
Published: (2025)

Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
by: Liu, Yu, et al.
Published: (2025)

Fine-Tuning Language Models Using Formal Methods Feedback
by: Yang, Yunhao, et al.
Published: (2023)

Crafting Efficient Fine-Tuning Strategies for Large Language Models
by: Oliver, Michael, et al.
Published: (2024)

Aligning Large Language Models via Fine-grained Supervision
by: Xu, Dehong, et al.
Published: (2024)

Preference Tuning For Toxicity Mitigation Generalizes Across Languages
by: Li, Xiaochen, et al.
Published: (2024)

Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection
by: Kumarage, Tharindu, et al.
Published: (2024)

Efficient Fine-Tuning of Large Language Models for Automated Medical Documentation
by: Leong, Hui Yi, et al.
Published: (2024)

Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
by: Khadangi, Afshin, et al.
Published: (2025)

Safer-Instruct: Aligning Language Models with Automated Preference Data
by: Shi, Taiwei, et al.
Published: (2023)

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

Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models
by: Ma, Yuxi, et al.
Published: (2023)

Scaling Sparse Fine-Tuning to Large Language Models
by: Ansell, Alan, et al.
Published: (2024)

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
by: Bansal, Hritik, et al.
Published: (2023)

Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
by: McIntosh, Timothy R., et al.
Published: (2024)