Cover Image

AutoRAG-LoRA: Hallucination-Triggered Knowledge Retuning via Lightweight Adapters

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dwivedi, Kaushik, Mishra, Padmanabh Patanjali
Format:	Preprint
Published:	2025
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

Hallucinations and Truth: A Comprehensive Accuracy Evaluation of RAG, LoRA and DoRA
by: Baqar, Mohammad, et al.
Published: (2025)

A Lightweight Framework for Trigger-Guided LoRA-Based Self-Adaptation in LLMs
by: Wei, Jiacheng, et al.
Published: (2025)

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
by: Fu, Jia, et al.
Published: (2024)

HypeLoRA: Hyper-Network-Generated LoRA Adapters for Calibrated Language Model Fine-Tuning
by: Trojan, Bartosz, et al.
Published: (2026)

LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
by: Wang, Zhengbo, et al.
Published: (2024)

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
by: Xiao, Yicheng, et al.
Published: (2025)

Weight space Detection of Backdoors in LoRA Adapters
by: Merenciano, David Puertolas, et al.
Published: (2026)

Task-Aware LoRA Adapter Composition via Similarity Retrieval in Vector Databases
by: Adsul, Riya, et al.
Published: (2026)

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
by: Azimi, Rambod, et al.
Published: (2024)

DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
by: Zhang, Yuxuan, et al.
Published: (2024)

DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
by: Deng, Guanzhi, et al.
Published: (2026)

LoRA-Squeeze: Simple and Effective Post-Tuning and In-Tuning Compression of LoRA Modules
by: Vulić, Ivan, et al.
Published: (2026)

LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
by: Lee, Seungeon, et al.
Published: (2025)

Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead
by: Brüel-Gabrielsson, Rickard, et al.
Published: (2024)

S-LoRA: Serving Thousands of Concurrent LoRA Adapters
by: Sheng, Ying, et al.
Published: (2023)

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
by: Tian, Chunlin, et al.
Published: (2024)

LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
by: Yen, Jui-Nan, et al.
Published: (2024)

TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA
by: Jung, Chanjoo, et al.
Published: (2025)

A Note on LoRA
by: Fomenko, Vlad, et al.
Published: (2024)

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
by: Ran, Delong, et al.
Published: (2025)

Instruction-Tuned, but Not More Verifiable Instruction-Following: A Cross-Task Diagnosis for LoRA Adapters
by: Zou, Junyi
Published: (2026)

Tina: Tiny Reasoning Models via LoRA
by: Wang, Shangshang, et al.
Published: (2025)

LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks
by: Fleshman, William, et al.
Published: (2025)

Improving LoRA with Variational Learning
by: Cong, Bai, et al.
Published: (2025)

Doc-to-LoRA: Learning to Instantly Internalize Contexts
by: Charakorn, Rujikorn, et al.
Published: (2026)

LoraMap: Harnessing the Power of LoRA Connections
by: Park, Hyeryun, et al.
Published: (2024)

Higher Layers Need More LoRA Experts
by: Gao, Chongyang, et al.
Published: (2024)

MoLoRA: Composable Specialization via Per-Token Adapter Routing
by: Shah, Shrey, et al.
Published: (2026)

In-Context Meta LoRA Generation
by: Shao, Yihua, et al.
Published: (2025)

MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
by: Li, Dengchun, et al.
Published: (2024)

SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning
by: Shi, Boyan, et al.
Published: (2026)

LoRA Meets Dropout under a Unified Framework
by: Wang, Sheng, et al.
Published: (2024)

LoRA Is Slower Than You Think
by: Ko, Seokmin
Published: (2025)

The Impact of Initialization on LoRA Finetuning Dynamics
by: Hayou, Soufiane, et al.
Published: (2024)

LoRA Learns Less and Forgets Less
by: Biderman, Dan, et al.
Published: (2024)

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
by: Huang, Chengsong, et al.
Published: (2023)

LoRA Provides Differential Privacy by Design via Random Sketching
by: Malekmohammadi, Saber, et al.
Published: (2024)

ALTER: Asymmetric LoRA for Token-Entropy-Guided Unlearning of LLMs
by: Chen, Xunlei, et al.
Published: (2026)

MiCA Learns More Knowledge Than LoRA and Full Fine-Tuning
by: Rüdiger, Sten, et al.
Published: (2026)

A Survey on LoRA of Large Language Models
by: Mao, Yuren, et al.
Published: (2024)