Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization
Fuente:
arXiv
Saved in:
| Main Authors: | Rashiti, Gentiana, Karunaratne, Geethan, Sachan, Mrinmaya, Sebastian, Abu, Rahimi, Abbas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation
by: Ni, Jingwei, et al.
Published: (2024)
by: Ni, Jingwei, et al.
Published: (2024)
Advancing Similarity Search with GenAI: A Retrieval Augmented Generation Approach
by: Bertin, Jean
Published: (2024)
by: Bertin, Jean
Published: (2024)
Prospects of Retrieval Augmented Generation (RAG) for Academic Library Search and Retrieval
by: Bevara, Ravi, et al.
Published: (2025)
by: Bevara, Ravi, et al.
Published: (2025)
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems
by: Caspari, Laura, et al.
Published: (2024)
by: Caspari, Laura, et al.
Published: (2024)
CIRR: Causal-Invariant Retrieval-Augmented Recommendation with Faithful Explanations under Distribution Shift
by: Sun, Sebastian
Published: (2025)
by: Sun, Sebastian
Published: (2025)
DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
by: Zeng, Xingyuan, et al.
Published: (2026)
by: Zeng, Xingyuan, et al.
Published: (2026)
Shifting from Ranking to Set Selection for Retrieval Augmented Generation
by: Lee, Dahyun, et al.
Published: (2025)
by: Lee, Dahyun, et al.
Published: (2025)
Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance
by: Xu, Tingqiao, et al.
Published: (2025)
by: Xu, Tingqiao, et al.
Published: (2025)
Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search
by: Wu, Yanjing, et al.
Published: (2024)
by: Wu, Yanjing, et al.
Published: (2024)
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
by: Wang, Boxin, et al.
Published: (2023)
by: Wang, Boxin, et al.
Published: (2023)
XGen-Q: An Explainable Domain-Adaptive LLM Framework with Retrieval-Augmented Generation for Software Security
by: Jelodar, Hamed, et al.
Published: (2025)
by: Jelodar, Hamed, et al.
Published: (2025)
On the Role of Noise in Factorizers for Disentangling Distributed Representations
by: Karunaratne, Geethan, et al.
Published: (2024)
by: Karunaratne, Geethan, et al.
Published: (2024)
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
by: Wang, Shuting, et al.
Published: (2024)
by: Wang, Shuting, et al.
Published: (2024)
Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation
by: Tian, Fangzheng, et al.
Published: (2026)
by: Tian, Fangzheng, et al.
Published: (2026)
R$^3$AG: Retriever Routing for Retrieval-Augmented Generation
by: Zhao, Tong, et al.
Published: (2026)
by: Zhao, Tong, et al.
Published: (2026)
Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain
by: Amirshahi, Shakiba, et al.
Published: (2025)
by: Amirshahi, Shakiba, et al.
Published: (2025)
Breaking It Down: Domain-Aware Semantic Segmentation for Retrieval Augmented Generation
by: Allamraju, Aparajitha, et al.
Published: (2025)
by: Allamraju, Aparajitha, et al.
Published: (2025)
Unsupervised Query Routing for Retrieval Augmented Generation
by: Mu, Feiteng, et al.
Published: (2025)
by: Mu, Feiteng, et al.
Published: (2025)
Retrieval Augmented Generation Evaluation for Health Documents
by: Ceresa, Mario, et al.
Published: (2025)
by: Ceresa, Mario, et al.
Published: (2025)
Navigating the Shift: A Comparative Analysis of Web Search and Generative AI Response Generation
by: Chen, Mahe, et al.
Published: (2026)
by: Chen, Mahe, et al.
Published: (2026)
DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation
by: Hsu, Hsin-Ling, et al.
Published: (2025)
by: Hsu, Hsin-Ling, et al.
Published: (2025)
RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation
by: Yang, Eugene, et al.
Published: (2026)
by: Yang, Eugene, et al.
Published: (2026)
Revisiting General Map Search via Generative Point-of-Interest Retrieval
by: Chen, Dong, et al.
Published: (2026)
by: Chen, Dong, et al.
Published: (2026)
Fairness-Aware Retrieval Optimization for Retrieval-Augmented Generation
by: Zhao, Yingqi, et al.
Published: (2026)
by: Zhao, Yingqi, et al.
Published: (2026)
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
by: Li, Xiaoxi, et al.
Published: (2024)
by: Li, Xiaoxi, et al.
Published: (2024)
A Reproducibility Study of Metacognitive Retrieval-Augmented Generation
by: Iturra-Bocaz, Gabriel, et al.
Published: (2026)
by: Iturra-Bocaz, Gabriel, et al.
Published: (2026)
Bayesian inference to improve quality of Retrieval Augmented Generation
by: Rao, Dattaraj
Published: (2024)
by: Rao, Dattaraj
Published: (2024)
Augmenting Textual Generation via Topology Aware Retrieval
by: Wang, Yu, et al.
Published: (2024)
by: Wang, Yu, et al.
Published: (2024)
VISA: Retrieval Augmented Generation with Visual Source Attribution
by: Ma, Xueguang, et al.
Published: (2024)
by: Ma, Xueguang, et al.
Published: (2024)
Retrieval-Augmented Recommendation Explanation Generation with Hierarchical Aggregation
by: Sun, Bangcheng, et al.
Published: (2025)
by: Sun, Bangcheng, et al.
Published: (2025)
Creating a Taxonomy for Retrieval Augmented Generation Applications
by: Nikishina, Irina, et al.
Published: (2024)
by: Nikishina, Irina, et al.
Published: (2024)
Corpus-informed Retrieval Augmented Generation of Clarifying Questions
by: Krasakis, Antonios Minas, et al.
Published: (2024)
by: Krasakis, Antonios Minas, et al.
Published: (2024)
A Hybrid Retrieval and Reranking Framework for Evidence-Grounded Retrieval-Augmented Generation
by: Irany, Fariba Afrin, et al.
Published: (2026)
by: Irany, Fariba Afrin, et al.
Published: (2026)
Retrieval-Augmented Search for Large-Scale Map Collections with ColPali
by: Mahowald, Jamie, et al.
Published: (2025)
by: Mahowald, Jamie, et al.
Published: (2025)
The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs
by: Yazan, Mert, et al.
Published: (2024)
by: Yazan, Mert, et al.
Published: (2024)
Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)
by: Wang, Liang, et al.
Published: (2025)
Parametric Retrieval Augmented Generation
by: Su, Weihang, et al.
Published: (2025)
by: Su, Weihang, et al.
Published: (2025)
Evaluating Retrieval Quality in Retrieval-Augmented Generation
by: Salemi, Alireza, et al.
Published: (2024)
by: Salemi, Alireza, et al.
Published: (2024)
Domain-Adaptive Dense Retrieval for Brazilian Legal Search
by: Pereira, Jayr, et al.
Published: (2026)
by: Pereira, Jayr, et al.
Published: (2026)
FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation
by: Wang, Shuai, et al.
Published: (2024)
by: Wang, Shuai, et al.
Published: (2024)
Similar Items
-
DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation
by: Ni, Jingwei, et al.
Published: (2024) -
Advancing Similarity Search with GenAI: A Retrieval Augmented Generation Approach
by: Bertin, Jean
Published: (2024) -
Prospects of Retrieval Augmented Generation (RAG) for Academic Library Search and Retrieval
by: Bevara, Ravi, et al.
Published: (2025) -
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems
by: Caspari, Laura, et al.
Published: (2024) -
CIRR: Causal-Invariant Retrieval-Augmented Recommendation with Faithful Explanations under Distribution Shift
by: Sun, Sebastian
Published: (2025)