AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Yujia, Liu, Zheng, Dou, Zhicheng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Grounding Language Model with Chunking-Free In-Context Retrieval
by: Qian, Hongjin, et al.
Published: (2024)
by: Qian, Hongjin, et al.
Published: (2024)
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)
HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks
by: Qian, Hongjin, et al.
Published: (2025)
by: Qian, Hongjin, et al.
Published: (2025)
ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
by: Wang, Zhao, et al.
Published: (2026)
by: Wang, Zhao, et al.
Published: (2026)
Boosting Long-Context Management via Query-Guided Activation Refilling
by: Qian, Hongjin, et al.
Published: (2024)
by: Qian, Hongjin, et al.
Published: (2024)
Search-o1: Agentic Search-Enhanced Large Reasoning Models
by: Li, Xiaoxi, et al.
Published: (2025)
by: Li, Xiaoxi, et al.
Published: (2025)
From Matching to Generation: A Survey on Generative Information Retrieval
by: Li, Xiaoxi, et al.
Published: (2024)
by: Li, Xiaoxi, et al.
Published: (2024)
Metacognitive Retrieval-Augmented Large Language Models
by: Zhou, Yujia, et al.
Published: (2024)
by: Zhou, Yujia, et al.
Published: (2024)
GISA: A Benchmark for General Information-Seeking Assistant
by: Zhu, Yutao, et al.
Published: (2026)
by: Zhu, Yutao, et al.
Published: (2026)
DeepRAG: Thinking to Retrieve Step by Step for Large Language Models
by: Guan, Xinyan, et al.
Published: (2025)
by: Guan, Xinyan, et al.
Published: (2025)
Synthetic Query Generation using Large Language Models for Virtual Assistants
by: Sannigrahi, Sonal, et al.
Published: (2024)
by: Sannigrahi, Sonal, et al.
Published: (2024)
CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks
by: Li, Xiaoxi, et al.
Published: (2024)
by: Li, Xiaoxi, et al.
Published: (2024)
RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
by: Chen, Zhongwu, et al.
Published: (2024)
by: Chen, Zhongwu, et al.
Published: (2024)
ConfReady: A RAG based Assistant and Dataset for Conference Checklist Responses
by: Galarnyk, Michael, et al.
Published: (2024)
by: Galarnyk, Michael, et al.
Published: (2024)
InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
by: Wang, Zihan, et al.
Published: (2025)
by: Wang, Zihan, et al.
Published: (2025)
OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG
by: Mo, Fengran, et al.
Published: (2026)
by: Mo, Fengran, et al.
Published: (2026)
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
by: Zhou, Yujia, et al.
Published: (2024)
by: Zhou, Yujia, et al.
Published: (2024)
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
by: Fan, Wenqi, et al.
Published: (2024)
by: Fan, Wenqi, et al.
Published: (2024)
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
by: Li, Xiaoxi, et al.
Published: (2025)
by: Li, Xiaoxi, et al.
Published: (2025)
From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG
by: Wu, Wenhao, et al.
Published: (2026)
by: Wu, Wenhao, et al.
Published: (2026)
Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models
by: Sun, Qiang, et al.
Published: (2024)
by: Sun, Qiang, et al.
Published: (2024)
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
by: Kang, Mintong, et al.
Published: (2024)
by: Kang, Mintong, et al.
Published: (2024)
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
by: Lee, Jinhyuk, et al.
Published: (2024)
by: Lee, Jinhyuk, et al.
Published: (2024)
BioRAG: A RAG-LLM Framework for Biological Question Reasoning
by: Wang, Chengrui, et al.
Published: (2024)
by: Wang, Chengrui, et al.
Published: (2024)
A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models
by: Liu, Shuliang, et al.
Published: (2025)
by: Liu, Shuliang, et al.
Published: (2025)
MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAG
by: Wu, Pingyu, et al.
Published: (2025)
by: Wu, Pingyu, et al.
Published: (2025)
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
by: Liu, Wenhan, et al.
Published: (2024)
by: Liu, Wenhan, et al.
Published: (2024)
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources
by: Xia, Yikuan, et al.
Published: (2025)
by: Xia, Yikuan, et al.
Published: (2025)
ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research
by: Lin, Junyong, et al.
Published: (2025)
by: Lin, Junyong, et al.
Published: (2025)
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
by: Zhang, Qinggang, et al.
Published: (2025)
by: Zhang, Qinggang, et al.
Published: (2025)
Citation-Enforced RAG for Fiscal Document Intelligence: Cited, Explainable Knowledge Retrieval in Tax Compliance
by: Shanivendra, Akhil Chandra
Published: (2026)
by: Shanivendra, Akhil Chandra
Published: (2026)
Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation
by: Balog, Krisztian, et al.
Published: (2025)
by: Balog, Krisztian, et al.
Published: (2025)
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
by: Chen, Jin, et al.
Published: (2023)
by: Chen, Jin, et al.
Published: (2023)
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
by: Xue, Jiaqi, et al.
Published: (2024)
by: Xue, Jiaqi, et al.
Published: (2024)
Stealthy Attack on Large Language Model based Recommendation
by: Zhang, Jinghao, et al.
Published: (2024)
by: Zhang, Jinghao, et al.
Published: (2024)
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
by: Tang, Qiaoyu, et al.
Published: (2024)
by: Tang, Qiaoyu, et al.
Published: (2024)
Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models
by: Sharma, Nikhil, et al.
Published: (2024)
by: Sharma, Nikhil, et al.
Published: (2024)
DoTA-RAG: Dynamic of Thought Aggregation RAG
by: Ruangtanusak, Saksorn, et al.
Published: (2025)
by: Ruangtanusak, Saksorn, et al.
Published: (2025)
PersianRAG: A Retrieval-Augmented Generation System for Persian Language
by: Hosseini, Hossein, et al.
Published: (2024)
by: Hosseini, Hossein, et al.
Published: (2024)
Similar Items
-
Grounding Language Model with Chunking-Free In-Context Retrieval
by: Qian, Hongjin, et al.
Published: (2024) -
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
by: Li, Xiaoxi, et al.
Published: (2024) -
HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks
by: Qian, Hongjin, et al.
Published: (2025) -
ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
by: Wang, Zhao, et al.
Published: (2026) -
Boosting Long-Context Management via Query-Guided Activation Refilling
by: Qian, Hongjin, et al.
Published: (2024)