Cover Image

Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zongmeng, Shi, Yufeng, Zhu, Jinhua, Zhou, Wengang, Qi, Xiang, Zhang, Peng, Li, Houqiang
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

BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language?
by: Zhang, Zongmeng, et al.
Published: (2024)

Robust Multimodal Large Language Models Against Modality Conflict
by: Zhang, Zongmeng, et al.
Published: (2025)

P-RAG: Progressive Retrieval Augmented Generation For Planning on Embodied Everyday Task
by: Xu, Weiye, et al.
Published: (2024)

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling
by: Cai, Jianfeng, et al.
Published: (2025)

Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator
by: Qiu, Xiaoyu, et al.
Published: (2024)

Semi-Supervised Spoken Language Glossification
by: Yao, Huijie, et al.
Published: (2024)

Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation
by: Qi, Rui, et al.
Published: (2026)

SEAL: Speech Embedding Alignment Learning for Speech Large Language Model with Retrieval-Augmented Generation
by: Sun, Chunyu, et al.
Published: (2025)

Exploiting GPT-4 Vision for Zero-shot Point Cloud Understanding
by: Sun, Qi, et al.
Published: (2024)

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models
by: Cui, Xiao, et al.
Published: (2024)

After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in Retrieval-Augmented Generation
by: Dai, Xinbang, et al.
Published: (2025)

RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models
by: Niu, Cheng, et al.
Published: (2023)

Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering
by: Cai, Jianfeng, et al.
Published: (2025)

R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models
by: Zhang, Taolin, et al.
Published: (2024)

Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
by: Xie, Tingyu, et al.
Published: (2024)

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey
by: Ni, Bo, et al.
Published: (2025)

Search-Based Credit Assignment for Offline Preference-Based Reinforcement Learning
by: Gao, Xiancheng, et al.
Published: (2025)

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

Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation
by: Wu, Di, et al.
Published: (2024)

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
by: Wang, Junjie, et al.
Published: (2024)

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
by: Li, Mingda, et al.
Published: (2024)

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
by: Zhou, Yujia, et al.
Published: (2024)

Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation
by: Zhao, Xinping, et al.
Published: (2025)

TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation
by: Zhou, Huichi, et al.
Published: (2025)

BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine
by: Li, Mingchen, et al.
Published: (2024)

Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models
by: Huang, Zhongzhen, et al.
Published: (2024)

Coordinated Semantic Alignment and Evidence Constraints for Retrieval-Augmented Generation with Large Language Models
by: Chen, Xin, et al.
Published: (2026)

Fusion-Augmented Large Language Models: Boosting Diagnostic Trustworthiness via Model Consensus
by: Siam, Md Kamrul, et al.
Published: (2025)

TrustLLM: Trustworthiness in Large Language Models
by: Huang, Yue, et al.
Published: (2024)

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding
by: Sun, Zhongxiang, et al.
Published: (2025)

Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
by: Qi, Jirui, et al.
Published: (2024)

Eliciting Trustworthiness Priors of Large Language Models via Economic Games
by: Yan, Siyu, et al.
Published: (2026)

Rethinking All Evidence: Enhancing Trustworthy Retrieval-Augmented Generation via Conflict-Driven Summarization
by: Chen, Juan, et al.
Published: (2025)

TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
by: Li, Shuo, et al.
Published: (2023)

MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
by: Zhan, Zaifu, et al.
Published: (2025)

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models
by: Yan, Qihang, et al.
Published: (2025)

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
by: Li, Feiyang, et al.
Published: (2025)

Personality Alignment of Large Language Models
by: Zhu, Minjun, et al.
Published: (2024)

DARE: Diffusion Large Language Models Alignment and Reinforcement Executor
by: Yang, Jingyi, et al.
Published: (2026)

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