Cover Image

KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Ruizhe, Xu, Yongxin, Xiao, Yuzhen, Zhu, Runchuan, Jiang, Xinke, Chu, Xu, Zhao, Junfeng, Wang, Yasha
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
by: Xu, Yongxin, et al.
Published: (2024)

3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection
by: Ding, Hongxin, et al.
Published: (2024)

RAGraph: A General Retrieval-Augmented Graph Learning Framework
by: Jiang, Xinke, et al.
Published: (2024)

IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models
by: Yu, Zhihao, et al.
Published: (2024)

EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models
by: Xiao, Yuzhen, et al.
Published: (2025)

HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responses
by: Jiang, Xinke, et al.
Published: (2023)

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation
by: Zhang, Ruizhe, et al.
Published: (2024)

StackPlanner: A Centralized Hierarchical Multi-Agent System with Task-Experience Memory Management
by: Zhang, Ruizhe, et al.
Published: (2026)

TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems
by: Jiang, Xinke, et al.
Published: (2024)

GeoEdit: Geometric Knowledge Editing for Large Language Models
by: Feng, Yujie, et al.
Published: (2025)

Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
by: Feng, Yujie, et al.
Published: (2025)

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

DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search
by: Yang, Zhibang, et al.
Published: (2025)

Bridging Global Intent with Local Details: A Hierarchical Representation Approach for Semantic Validation in Text-to-SQL
by: Qiu, Rihong, et al.
Published: (2025)

Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection
by: Weng, Yan, et al.
Published: (2025)

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
by: Li, Rui, et al.
Published: (2025)

Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
by: Jin, Zhuoran, et al.
Published: (2024)

KIF: Knowledge Identification and Fusion for Language Model Continual Learning
by: Feng, Yujie, et al.
Published: (2024)

Uncertainty-aware Knowledge Tracing
by: Cheng, Weihua, et al.
Published: (2025)

LMAR: Language Model Augmented Retriever for Domain-specific Knowledge Indexing
by: Zhao, Yao, et al.
Published: (2025)

SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
by: Yu, Zhihao, et al.
Published: (2024)

Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance
by: Fang, Yue, et al.
Published: (2025)

Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
by: Chen, Hao, et al.
Published: (2026)

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

Evaluating Retrieval-Augmented Generation Strategies for Large Language Models in Travel Mode Choice Prediction
by: Xu, Yiming, et al.
Published: (2025)

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
by: Yao, Zijun, et al.
Published: (2024)

Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models
by: Wang, Yujing, et al.
Published: (2025)

Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
by: Ning, Yunfeng, et al.
Published: (2025)

Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering
by: Liu, Xukai, et al.
Published: (2025)

$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization
by: Han, Jiaqi, et al.
Published: (2024)

Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
by: Xu, Derong, et al.
Published: (2024)

ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
by: Ding, Hongxin, et al.
Published: (2025)

Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation
by: Chen, Jinwen, et al.
Published: (2025)

UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers
by: Min, Dehai, et al.
Published: (2024)

KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
by: Zhu, Yuqi, et al.
Published: (2024)

Can Molecular Foundation Models Know What They Don't Know? A Simple Remedy with Preference Optimization
by: He, Langzhou, et al.
Published: (2025)

DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models
by: Chen, Ruizhe, et al.
Published: (2025)

Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
by: Shi, Zhengliang, et al.
Published: (2025)

Retrieval-Augmented and Knowledge-Grounded Language Models for Faithful Clinical Medicine
by: Liu, Fenglin, et al.
Published: (2022)

Plan of Knowledge: Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
by: Qian, Xinying, et al.
Published: (2025)