A Workbench for Autograding Retrieve/Generate Systems
Fuente:
arXiv
Saved in:
| Main Author: | Dietz, Laura |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Exam-based Evaluation Approach Beyond Traditional Relevance Judgments
by: Farzi, Naghmeh, et al.
Published: (2024)
by: Farzi, Naghmeh, et al.
Published: (2024)
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)
Incorporating Q&A Nuggets into Retrieval-Augmented Generation
by: Dietz, Laura, et al.
Published: (2026)
by: Dietz, Laura, et al.
Published: (2026)
Interactions with Generative Information Retrieval Systems
by: Aliannejadi, Mohammad, et al.
Published: (2024)
by: Aliannejadi, Mohammad, et al.
Published: (2024)
Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage
by: Samuel, Saron, et al.
Published: (2026)
by: Samuel, Saron, et al.
Published: (2026)
Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation Systems
by: Kim, Sejong, et al.
Published: (2025)
by: Kim, Sejong, et al.
Published: (2025)
LLM-based relevance assessment still can't replace human relevance assessment
by: Clarke, Charles L. A., et al.
Published: (2024)
by: Clarke, Charles L. A., et al.
Published: (2024)
Human-Computer Interaction as a basis for assessing Geographic Information Retrieval Systems.
by: Manuel Enrique Puebla Martínez
Published: (2018)
by: Manuel Enrique Puebla Martínez
Published: (2018)
Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems
by: Chen, Jiajing, et al.
Published: (2024)
by: Chen, Jiajing, et al.
Published: (2024)
A General Mathematical Model for Information Retrieval Systems
by: Bookstein, Abraham, et al.
Published: (1976)
by: Bookstein, Abraham, et al.
Published: (1976)
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric Agents
by: Zerhoudi, Saber, et al.
Published: (2024)
by: Zerhoudi, Saber, et al.
Published: (2024)
Does Generative Retrieval Overcome the Limitations of Dense Retrieval?
by: Zhang, Yingchen, et al.
Published: (2025)
by: Zhang, Yingchen, et al.
Published: (2025)
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)
Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms
by: Dietz, Linus W., et al.
Published: (2023)
by: Dietz, Linus W., et al.
Published: (2023)
Best in Tau@LLMJudge: Criteria-Based Relevance Evaluation with Llama3
by: Farzi, Naghmeh, et al.
Published: (2024)
by: Farzi, Naghmeh, et al.
Published: (2024)
A Generative Framework for Personalized Sticker Retrieval
by: Zhou, Changjiang, et al.
Published: (2025)
by: Zhou, Changjiang, et al.
Published: (2025)
Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation
by: Banerjee, Ashmi, et al.
Published: (2024)
by: Banerjee, Ashmi, 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)
Retrieval-in-the-Chain: Bootstrapping Large Language Models for Generative Retrieval
by: Zhang, Yingchen, et al.
Published: (2025)
by: Zhang, Yingchen, et al.
Published: (2025)
R$^3$AG: Retriever Routing for Retrieval-Augmented Generation
by: Zhao, Tong, et al.
Published: (2026)
by: Zhao, Tong, et al.
Published: (2026)
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems
by: Nazary, Fatemeh, et al.
Published: (2025)
by: Nazary, Fatemeh, et al.
Published: (2025)
Generative Information Retrieval Evaluation
by: Alaofi, Marwah, et al.
Published: (2024)
by: Alaofi, Marwah, et al.
Published: (2024)
Generative Retrieval for Book search
by: Tang, Yubao, et al.
Published: (2025)
by: Tang, Yubao, et al.
Published: (2025)
Generative Retrieval via Term Set Generation
by: Zhang, Peitian, et al.
Published: (2023)
by: Zhang, Peitian, et al.
Published: (2023)
A Comprehensive Survey on Retrieval Methods in Recommender Systems
by: Huang, Junjie, et al.
Published: (2024)
by: Huang, Junjie, et al.
Published: (2024)
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)
Retrieval Feedback Memory Enhancement Large Model Retrieval Generation Method
by: Li, Leqian, et al.
Published: (2025)
by: Li, Leqian, et al.
Published: (2025)
Generative Retrieval Overcomes Limitations of Dense Retrieval but Struggles with Identifier Ambiguity
by: Bracher, Adrian, et al.
Published: (2026)
by: Bracher, Adrian, et al.
Published: (2026)
RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation
by: Yang, Eugene, et al.
Published: (2026)
by: Yang, Eugene, et al.
Published: (2026)
Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems
by: Song, Hongru, et al.
Published: (2025)
by: Song, Hongru, et al.
Published: (2025)
The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems
by: Song, Hongru, et al.
Published: (2025)
by: Song, Hongru, et al.
Published: (2025)
A Reproducibility Study of Metacognitive Retrieval-Augmented Generation
by: Iturra-Bocaz, Gabriel, et al.
Published: (2026)
by: Iturra-Bocaz, Gabriel, et al.
Published: (2026)
StratRAG: A Multi-Hop Retrieval Evaluation Dataset for Retrieval-Augmented Generation Systems
by: Patodiya, Aryan
Published: (2026)
by: Patodiya, Aryan
Published: (2026)
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)
Adaptive Retrieval-Augmented Generation for Conversational Systems
by: Wang, Xi, et al.
Published: (2024)
by: Wang, Xi, et al.
Published: (2024)
On the Robustness of Generative Information Retrieval Models
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
RAGPerf: An End-to-End Benchmarking Framework for Retrieval-Augmented Generation Systems
by: Li, Shaobo, et al.
Published: (2026)
by: Li, Shaobo, et al.
Published: (2026)
GenTREC: The First Test Collection Generated by Large Language Models for Evaluating Information Retrieval Systems
by: Türkmen, Mehmet Deniz, et al.
Published: (2025)
by: Türkmen, Mehmet Deniz, et al.
Published: (2025)
Integrating Chain-of-Thought into Generative Retrieval: A Preliminary Study
by: Zhang, Wenhao, et al.
Published: (2026)
by: Zhang, Wenhao, et al.
Published: (2026)
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
by: Guo, Jinyu, et al.
Published: (2025)
by: Guo, Jinyu, et al.
Published: (2025)
Similar Items
-
An Exam-based Evaluation Approach Beyond Traditional Relevance Judgments
by: Farzi, Naghmeh, et al.
Published: (2024) -
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems
by: Caspari, Laura, et al.
Published: (2024) -
Incorporating Q&A Nuggets into Retrieval-Augmented Generation
by: Dietz, Laura, et al.
Published: (2026) -
Interactions with Generative Information Retrieval Systems
by: Aliannejadi, Mohammad, et al.
Published: (2024) -
Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage
by: Samuel, Saron, et al.
Published: (2026)