Saved in:
| Main Authors: | Yu, Tian, Zhang, Shaolei, Feng, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.19443 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts
by: Yu, Tian, et al.
Published: (2024)
by: Yu, Tian, et al.
Published: (2024)
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space
by: Zhang, Shaolei, et al.
Published: (2024)
by: Zhang, Shaolei, et al.
Published: (2024)
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation
by: Guo, Shoutao, et al.
Published: (2025)
by: Guo, Shoutao, et al.
Published: (2025)
IG-Pruning: Input-Guided Block Pruning for Large Language Models
by: Qiao, Kangyu, et al.
Published: (2025)
by: Qiao, Kangyu, et al.
Published: (2025)
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
by: Fu, Jia, et al.
Published: (2024)
by: Fu, Jia, et al.
Published: (2024)
BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine
by: Li, Mingchen, et al.
Published: (2024)
by: Li, Mingchen, et al.
Published: (2024)
Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
by: Chen, Zhe, et al.
Published: (2025)
by: Chen, Zhe, et al.
Published: (2025)
FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation
by: Zhang, Zhuocheng, et al.
Published: (2025)
by: Zhang, Zhuocheng, et al.
Published: (2025)
AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline
by: Kim, Dongkyu, et al.
Published: (2024)
by: Kim, Dongkyu, et al.
Published: (2024)
TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models
by: Cheng, Pengzhou, et al.
Published: (2024)
by: Cheng, Pengzhou, et al.
Published: (2024)
MobileRAG: Enhancing Mobile Agent with Retrieval-Augmented Generation
by: Loo, Gowen, et al.
Published: (2025)
by: Loo, Gowen, et al.
Published: (2025)
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
by: An, Bang, et al.
Published: (2025)
by: An, Bang, et al.
Published: (2025)
SiLLM: Large Language Models for Simultaneous Machine Translation
by: Guo, Shoutao, et al.
Published: (2024)
by: Guo, Shoutao, et al.
Published: (2024)
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
by: Lyu, Yuanjie, et al.
Published: (2024)
by: Lyu, Yuanjie, et al.
Published: (2024)
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers
by: Zhang, Zhuocheng, et al.
Published: (2025)
by: Zhang, Zhuocheng, et al.
Published: (2025)
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
by: Kang, Mintong, et al.
Published: (2024)
by: Kang, Mintong, et al.
Published: (2024)
Agent-SiMT: Agent-assisted Simultaneous Machine Translation with Large Language Models
by: Guo, Shoutao, et al.
Published: (2024)
by: Guo, Shoutao, et al.
Published: (2024)
AlignX: Advancing Multilingual Large Language Models with Multilingual Representation Alignment
by: Bu, Mengyu, et al.
Published: (2025)
by: Bu, Mengyu, et al.
Published: (2025)
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
by: Zhang, Shaolei, et al.
Published: (2025)
by: Zhang, Shaolei, et al.
Published: (2025)
CtrlRAG: Black-box Document Poisoning Attacks for Retrieval-Augmented Generation of Large Language Models
by: Sui, Runqi
Published: (2025)
by: Sui, Runqi
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)
by: Li, Feiyang, et al.
Published: (2025)
LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
by: Zhuang, Luyao, et al.
Published: (2025)
by: Zhuang, Luyao, et al.
Published: (2025)
AutoBnB-RAG: Enhancing Multi-Agent Incident Response with Retrieval-Augmented Generation
by: Liu, Zefang, et al.
Published: (2025)
by: Liu, Zefang, et al.
Published: (2025)
A Survey on Retrieval And Structuring Augmented Generation with Large Language Models
by: Jiang, Pengcheng, et al.
Published: (2025)
by: Jiang, Pengcheng, et al.
Published: (2025)
YpathRAG:A Retrieval-Augmented Generation Framework and Benchmark for Pathology
by: Yu, Deshui, et al.
Published: (2025)
by: Yu, Deshui, et al.
Published: (2025)
REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation
by: Jiang, Wentao, et al.
Published: (2025)
by: Jiang, Wentao, et al.
Published: (2025)
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
by: Sharma, Kartik, et al.
Published: (2024)
by: Sharma, Kartik, et al.
Published: (2024)
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
by: Xue, Jiaqi, et al.
Published: (2024)
by: Xue, Jiaqi, et al.
Published: (2024)
Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation
by: Zou, Deyu, et al.
Published: (2025)
by: Zou, Deyu, et al.
Published: (2025)
ImpRAG: Retrieval-Augmented Generation with Implicit Queries
by: Zhang, Wenzheng, et al.
Published: (2025)
by: Zhang, Wenzheng, et al.
Published: (2025)
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models
by: Tran, Hieu, et al.
Published: (2024)
by: Tran, Hieu, et al.
Published: (2024)
DuetRAG: Collaborative Retrieval-Augmented Generation
by: Jiao, Dian, et al.
Published: (2024)
by: Jiao, Dian, et al.
Published: (2024)
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
by: Wang, Zheng, et al.
Published: (2024)
by: Wang, Zheng, et al.
Published: (2024)
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
by: Sun, Jiashuo, et al.
Published: (2025)
by: Sun, Jiashuo, et al.
Published: (2025)
Finetune-RAG: Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented Generation
by: Lee, Zhan Peng, et al.
Published: (2025)
by: Lee, Zhan Peng, et al.
Published: (2025)
Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
by: Zhang, Qianchi, et al.
Published: (2026)
by: Zhang, Qianchi, et al.
Published: (2026)
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
by: Xu, Ran, et al.
Published: (2024)
by: Xu, Ran, et al.
Published: (2024)
DACL-RAG: Data Augmentation Strategy with Curriculum Learning for Retrieval-Augmented Generation
by: Wang, Shaohan, et al.
Published: (2025)
by: Wang, Shaohan, et al.
Published: (2025)
FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing
by: Guo, Shoutao, et al.
Published: (2025)
by: Guo, Shoutao, et al.
Published: (2025)
Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
by: Liu, Dongqi, et al.
Published: (2026)
by: Liu, Dongqi, et al.
Published: (2026)
Similar Items
-
Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts
by: Yu, Tian, et al.
Published: (2024) -
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space
by: Zhang, Shaolei, et al.
Published: (2024) -
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation
by: Guo, Shoutao, et al.
Published: (2025) -
IG-Pruning: Input-Guided Block Pruning for Large Language Models
by: Qiao, Kangyu, et al.
Published: (2025) -
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
by: Fu, Jia, et al.
Published: (2024)