Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Guttal, Pooja, Magotra, Varun, Mahavishnu, Vasudeva, Chanto, Natasha, Sivaprasad, Sidharth, Gaur, Manas |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neurosymbolic Retrievers for Retrieval-augmented Generation
by: Saxena, Yash, et al.
Published: (2026)
by: Saxena, Yash, et al.
Published: (2026)
Cross-Document Topic-Aligned Chunking for Retrieval-Augmented Generation
by: Stankovic, Mile
Published: (2025)
by: Stankovic, Mile
Published: (2025)
Query-Adaptive Semantic Chunking for Retrieval-Augmented Generation: A Dynamic Strategy with Contextual Window Expansion
by: Rastogi, Mudit
Published: (2026)
by: Rastogi, Mudit
Published: (2026)
Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation
by: Merola, Carlo, et al.
Published: (2025)
by: Merola, Carlo, et al.
Published: (2025)
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree
by: Zhang, Yilin, et al.
Published: (2025)
by: Zhang, Yilin, 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)
SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
by: Zhang, Xuechen, et al.
Published: (2025)
by: Zhang, Xuechen, et al.
Published: (2025)
Beyond Chunking: Discourse-Aware Hierarchical Retrieval for Long Document Question Answering
by: Chen, Huiyao, et al.
Published: (2025)
by: Chen, Huiyao, et al.
Published: (2025)
HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
by: Liu, Hao, et al.
Published: (2025)
by: Liu, Hao, et al.
Published: (2025)
The Chronicles of RAG: The Retriever, the Chunk and the Generator
by: Finardi, Paulo, et al.
Published: (2024)
by: Finardi, Paulo, et al.
Published: (2024)
Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
by: Hashemi, Helia, et al.
Published: (2025)
by: Hashemi, Helia, 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)
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)
Typed-RAG: Type-Aware Decomposition of Non-Factoid Questions for Retrieval-Augmented Generation
by: Lee, DongGeon, et al.
Published: (2025)
by: Lee, DongGeon, et al.
Published: (2025)
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
by: Chen, Haonan, et al.
Published: (2024)
by: Chen, Haonan, et al.
Published: (2024)
ArbGraph: Conflict-Aware Evidence Arbitration for Reliable Long-Form Retrieval-Augmented Generation
by: Niu, Qingying, et al.
Published: (2026)
by: Niu, Qingying, et al.
Published: (2026)
GeAR: Generation Augmented Retrieval
by: Liu, Haoyu, et al.
Published: (2025)
by: Liu, Haoyu, et al.
Published: (2025)
Dynamic and Parametric Retrieval-Augmented Generation
by: Su, Weihang, et al.
Published: (2025)
by: Su, Weihang, et al.
Published: (2025)
CRAFT: Training-Free Cascaded Retrieval for Tabular QA
by: Singh, Adarsh, et al.
Published: (2025)
by: Singh, Adarsh, et al.
Published: (2025)
HetaRAG: Hybrid Deep Retrieval-Augmented Generation across Heterogeneous Data Stores
by: Yan, Guohang, et al.
Published: (2025)
by: Yan, Guohang, et al.
Published: (2025)
Grounding Language Model with Chunking-Free In-Context Retrieval
by: Qian, Hongjin, et al.
Published: (2024)
by: Qian, Hongjin, et al.
Published: (2024)
Adaptive Retrieval-Augmented Generation for Conversational Systems
by: Wang, Xi, et al.
Published: (2024)
by: Wang, Xi, et al.
Published: (2024)
Loops On Retrieval Augmented Generation (LoRAG)
by: Thakur, Ayush, et al.
Published: (2024)
by: Thakur, Ayush, et al.
Published: (2024)
SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph
by: Lin, Teng, et al.
Published: (2025)
by: Lin, Teng, et al.
Published: (2025)
AdaGATE: Adaptive Gap-Aware Token-Efficient Evidence Assembly for Multi-Hop Retrieval-Augmented Generation
by: Guo, Yilin, et al.
Published: (2026)
by: Guo, Yilin, et al.
Published: (2026)
Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval
by: Yan, Yibo, et al.
Published: (2026)
by: Yan, Yibo, et al.
Published: (2026)
CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMs
by: Keerthana, Garapati, et al.
Published: (2025)
by: Keerthana, Garapati, et al.
Published: (2025)
Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation
by: Shi, Teng, et al.
Published: (2025)
by: Shi, Teng, et al.
Published: (2025)
Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems
by: Feng, Tao, et al.
Published: (2026)
by: Feng, Tao, et al.
Published: (2026)
A Large Language Model-based Framework for Semi-Structured Tender Document Retrieval-Augmented Generation
by: Zhao, Yilong, et al.
Published: (2024)
by: Zhao, Yilong, et al.
Published: (2024)
Understanding Parametric Knowledge Injection in Retrieval-Augmented Generation
by: Tang, Minghao, et al.
Published: (2025)
by: Tang, Minghao, et al.
Published: (2025)
Plan-and-Refine: Diverse and Comprehensive Retrieval-Augmented Generation
by: Salemi, Alireza, et al.
Published: (2025)
by: Salemi, Alireza, et al.
Published: (2025)
BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
by: Rau, David, et al.
Published: (2024)
by: Rau, David, et al.
Published: (2024)
Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval
by: Chitale, Pranjal A., et al.
Published: (2025)
by: Chitale, Pranjal A., et al.
Published: (2025)
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
by: Shi, Zhengliang, et al.
Published: (2024)
by: Shi, Zhengliang, et al.
Published: (2024)
Is Semantic Chunking Worth the Computational Cost?
by: Qu, Renyi, et al.
Published: (2024)
by: Qu, Renyi, et al.
Published: (2024)
RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects
by: Tu, Yiteng, et al.
Published: (2025)
by: Tu, Yiteng, et al.
Published: (2025)
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation
by: Abdallah, Abdelrahman, et al.
Published: (2025)
by: Abdallah, Abdelrahman, et al.
Published: (2025)
Beyond Factual Grounding: The Case for Opinion-Aware Retrieval-Augmented Generation
by: Agrawal, Aditya, et al.
Published: (2026)
by: Agrawal, Aditya, et al.
Published: (2026)
Similar Items
-
Neurosymbolic Retrievers for Retrieval-augmented Generation
by: Saxena, Yash, et al.
Published: (2026) -
Cross-Document Topic-Aligned Chunking for Retrieval-Augmented Generation
by: Stankovic, Mile
Published: (2025) -
Query-Adaptive Semantic Chunking for Retrieval-Augmented Generation: A Dynamic Strategy with Contextual Window Expansion
by: Rastogi, Mudit
Published: (2026) -
Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation
by: Merola, Carlo, et al.
Published: (2025) -
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree
by: Zhang, Yilin, et al.
Published: (2025)