Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
Fuente:
arXiv
Saved in:
| Main Authors: | Soudani, Heydar, Kanoulas, Evangelos, Hasibi, Faegheh |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Data Augmentation for Conversational AI
by: Soudani, Heydar, et al.
Published: (2023)
by: Soudani, Heydar, et al.
Published: (2023)
A Survey on Recent Advances in Conversational Data Generation
by: Soudani, Heydar, et al.
Published: (2024)
by: Soudani, Heydar, et al.
Published: (2024)
Why Uncertainty Estimation Methods Fall Short in RAG: An Axiomatic Analysis
by: Soudani, Heydar, et al.
Published: (2025)
by: Soudani, Heydar, et al.
Published: (2025)
Uncertainty Quantification for Retrieval-Augmented Reasoning
by: Soudani, Heydar, et al.
Published: (2025)
by: Soudani, Heydar, et al.
Published: (2025)
Generate then Refine: Data Augmentation for Zero-shot Intent Detection
by: Lin, I-Fan, et al.
Published: (2024)
by: Lin, I-Fan, et al.
Published: (2024)
PromptAug: Fine-grained Conflict Classification Using Data Augmentation
by: Warke, Oliver, et al.
Published: (2025)
by: Warke, Oliver, et al.
Published: (2025)
ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question Answering
by: Lupart, Simon, et al.
Published: (2025)
by: Lupart, Simon, et al.
Published: (2025)
DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational Search
by: Lupart, Simon, et al.
Published: (2024)
by: Lupart, Simon, et al.
Published: (2024)
SPILL: Domain-Adaptive Intent Clustering based on Selection and Pooling with Large Language Models
by: Lin, I-Fan, et al.
Published: (2025)
by: Lin, I-Fan, et al.
Published: (2025)
A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering
by: Sidiropoulos, Georgios, et al.
Published: (2024)
by: Sidiropoulos, Georgios, et al.
Published: (2024)
Total Recall QA: A Verifiable Evaluation Suite for Deep Research Agents
by: Rafiee, Mahta, et al.
Published: (2026)
by: Rafiee, Mahta, et al.
Published: (2026)
LLMs Enable Bag-of-Texts Representations for Short-Text Clustering
by: Lin, I-Fan, et al.
Published: (2025)
by: Lin, I-Fan, et al.
Published: (2025)
LUMI: Unsupervised Intent Clustering with Multiple Pseudo-Labels
by: Lin, I-Fan, et al.
Published: (2025)
by: Lin, I-Fan, et al.
Published: (2025)
Reproducing Complex Set-Compositional Information Retrieval
by: Degenhart, Vincent, et al.
Published: (2026)
by: Degenhart, Vincent, et al.
Published: (2026)
Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval
by: Li, Yongkang, et al.
Published: (2025)
by: Li, Yongkang, et al.
Published: (2025)
Spectral Tempering for Embedding Compression in Dense Passage Retrieval
by: Li, Yongkang, et al.
Published: (2026)
by: Li, Yongkang, et al.
Published: (2026)
Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval
by: Li, Yongkang, et al.
Published: (2025)
by: Li, Yongkang, et al.
Published: (2025)
SubSearch: Intermediate Rewards for Unsupervised Guided Reasoning in Complex Retrieval
by: Petcu, Roxana, et al.
Published: (2026)
by: Petcu, Roxana, et al.
Published: (2026)
Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
by: Zheng, Yilun, et al.
Published: (2025)
by: Zheng, Yilun, et al.
Published: (2025)
On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability
by: Li, Yongkang, et al.
Published: (2026)
by: Li, Yongkang, et al.
Published: (2026)
A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers
by: Petcu, Roxana, et al.
Published: (2025)
by: Petcu, Roxana, et al.
Published: (2025)
Beyond Natural Language Plans: Structure-Aware Planning for Query-Focused Table Summarization
by: Zhang, Weijia, et al.
Published: (2025)
by: Zhang, Weijia, et al.
Published: (2025)
Real World Conversational Entity Linking Requires More Than Zeroshots
by: Hoveyda, Mohanna, et al.
Published: (2024)
by: Hoveyda, Mohanna, et al.
Published: (2024)
FACE: A Fine-Grained Reference-Free Evaluator for Conversational Information Access
by: Joko, Hideaki, et al.
Published: (2025)
by: Joko, Hideaki, et al.
Published: (2025)
AQA: Adaptive Question Answering in a Society of LLMs via Contextual Multi-Armed Bandit
by: Hoveyda, Mohanna, et al.
Published: (2024)
by: Hoveyda, Mohanna, et al.
Published: (2024)
Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation
by: Kang, Deokhyung, et al.
Published: (2025)
by: Kang, Deokhyung, et al.
Published: (2025)
Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics
by: Zhang, Weijia, et al.
Published: (2024)
by: Zhang, Weijia, et al.
Published: (2024)
Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQL
by: Thorpe, Dayton G., et al.
Published: (2024)
by: Thorpe, Dayton G., et al.
Published: (2024)
GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases
by: Clemedtson, Alfred, et al.
Published: (2025)
by: Clemedtson, Alfred, et al.
Published: (2025)
ASVRI-Legal: Fine-Tuning LLMs with Retrieval Augmented Generation for Enhanced Legal Regulation
by: Octadion, One, et al.
Published: (2025)
by: Octadion, One, 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)
Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models
by: Liu, Fengchen, et al.
Published: (2024)
by: Liu, Fengchen, et al.
Published: (2024)
FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation Systems
by: Fajardo, Val Andrei, et al.
Published: (2025)
by: Fajardo, Val Andrei, et al.
Published: (2025)
Generative Retrieval with Few-shot Indexing
by: Askari, Arian, et al.
Published: (2024)
by: Askari, Arian, et al.
Published: (2024)
A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation
by: Bassamzadeh, Nastaran, et al.
Published: (2024)
by: Bassamzadeh, Nastaran, et al.
Published: (2024)
Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning
by: Zhang, Qianchi, et al.
Published: (2025)
by: Zhang, Qianchi, et al.
Published: (2025)
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks
by: Efeoglu, Sefika, et al.
Published: (2024)
by: Efeoglu, Sefika, et al.
Published: (2024)
Domain Fine-Tuning vs. Retrieval-Augmented Generation for Medical Multiple-Choice Question Answering: A Controlled Comparison at the 4B-Parameter Scale
by: Buskila, Avi-ad Avraam
Published: (2026)
by: Buskila, Avi-ad Avraam
Published: (2026)
Table Question Answering for Low-resourced Indic Languages
by: Pal, Vaishali, et al.
Published: (2024)
by: Pal, Vaishali, et al.
Published: (2024)
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
by: Ovadia, Oded, et al.
Published: (2023)
by: Ovadia, Oded, et al.
Published: (2023)
Similar Items
-
Data Augmentation for Conversational AI
by: Soudani, Heydar, et al.
Published: (2023) -
A Survey on Recent Advances in Conversational Data Generation
by: Soudani, Heydar, et al.
Published: (2024) -
Why Uncertainty Estimation Methods Fall Short in RAG: An Axiomatic Analysis
by: Soudani, Heydar, et al.
Published: (2025) -
Uncertainty Quantification for Retrieval-Augmented Reasoning
by: Soudani, Heydar, et al.
Published: (2025) -
Generate then Refine: Data Augmentation for Zero-shot Intent Detection
by: Lin, I-Fan, et al.
Published: (2024)