Cover Image

DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Shuting, Liu, Jiongnan, Song, Shiren, Cheng, Jiehan, Fu, Yuqi, Guo, Peidong, Fang, Kun, Zhu, Yutao, Dou, Zhicheng
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DailyQA: A Benchmark to Evaluate Web Retrieval Augmented LLMs Based on Capturing Real-World Changes
by: Cheng, Jiehan, et al.
Published: (2025)

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
by: Chen, Haonan, et al.
Published: (2024)

R$^3$AG: Retriever Routing for Retrieval-Augmented Generation
by: Zhao, Tong, et al.
Published: (2026)

Large Language Models for Information Retrieval: A Survey
by: Zhu, Yutao, et al.
Published: (2023)

ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
by: Wang, Zhao, et al.
Published: (2026)

FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
by: Jin, Jiajie, et al.
Published: (2024)

Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training
by: Chen, Haonan, et al.
Published: (2024)

OmniBench-RAG: A Multi-Domain Evaluation Platform for Retrieval-Augmented Generation Tools
by: Liang, Jiaxuan, et al.
Published: (2025)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
by: Dong, Guanting, et al.
Published: (2024)

IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval
by: Song, Tingyu, et al.
Published: (2025)

RecThinker: An Agentic Framework for Tool-Augmented Reasoning in Recommendation
by: Zhang, Haobo, et al.
Published: (2026)

Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
by: Siriwardhana, Shamane, et al.
Published: (2022)

Query-oriented Data Augmentation for Session Search
by: Chen, Haonan, et al.
Published: (2024)

LMAR: Language Model Augmented Retriever for Domain-specific Knowledge Indexing
by: Zhao, Yao, et al.
Published: (2025)

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
by: Tan, Jiejun, et al.
Published: (2024)

Retrieval Augmented Generation for Domain-specific Question Answering
by: Sharma, Sanat, et al.
Published: (2024)

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation
by: Cheng, Yiruo, et al.
Published: (2024)

Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding
by: Cheng, Yiruo, et al.
Published: (2024)

OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain
by: Wang, Shuting, et al.
Published: (2024)

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
by: Liu, Wenhan, et al.
Published: (2024)

A Multi-Task Embedder For Retrieval Augmented LLMs
by: Zhang, Peitian, et al.
Published: (2023)

QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors
by: Zhang, Kepu, et al.
Published: (2025)

Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)

TrustRAG: An Information Assistant with Retrieval Augmented Generation
by: Fan, Yixing, et al.
Published: (2025)

mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs
by: Xu, Chuan, et al.
Published: (2025)

NeuCLIRTech: Chinese Monolingual and Cross-Language Information Retrieval Evaluation in a Challenging Domain
by: Lawrie, Dawn, 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)

Metacognitive Retrieval-Augmented Large Language Models
by: Zhou, Yujia, et al.
Published: (2024)

Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
by: Zhang, Chenghao, et al.
Published: (2025)

Agentic-R: Learning to Retrieve for Agentic Search
by: Liu, Wenhan, et al.
Published: (2026)

Laser: Governing Long-Horizon Agentic Search via Structured Protocol and Context Register
by: Wang, Shuting, et al.
Published: (2025)

DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMs
by: Liu, Jinzhe, et al.
Published: (2024)

Prospects of Retrieval Augmented Generation (RAG) for Academic Library Search and Retrieval
by: Bevara, Ravi, et al.
Published: (2025)

HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches
by: Tan, Jiejun, et al.
Published: (2025)

RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
by: Chen, Zhongwu, et al.
Published: (2024)

HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
by: Guo, Jinyu, et al.
Published: (2025)

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
by: Zhang, Fangyuan, et al.
Published: (2025)

LaSER: Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
by: Jin, Jiajie, et al.
Published: (2026)

LightRAG: Simple and Fast Retrieval-Augmented Generation
by: Guo, Zirui, et al.
Published: (2024)

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
by: Liang, Xun, et al.
Published: (2025)