Image de couverture de livre

Financial Report Chunking for Effective Retrieval Augmented Generation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yepes, Antonio Jimeno, You, Yao, Milczek, Jan, Laverde, Sebastian, Li, Renyu
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SCORE: A Semantic Evaluation Framework for Generative Document Parsing
par: Li, Renyu, et autres
Publié: (2025)

Chunking Methods on Retrieval-Augmented Generation - Effectiveness Evaluation Against Computational Cost and Limitations
par: Śmigielski, Mateusz, et autres
Publié: (2026)

HiChunk: Evaluating and Enhancing Retrieval-Augmented Generation with Hierarchical Chunking
par: Lu, Wensheng, et autres
Publié: (2025)

Reducing Redundancy in Retrieval-Augmented Generation through Chunk Filtering
par: Berdyugina, Daria, et autres
Publié: (2026)

MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System
par: Zhao, Jihao, et autres
Publié: (2025)

Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation
par: Guttal, Pooja, et autres
Publié: (2026)

Enhancing Retrieval Augmented Generation with Hierarchical Text Segmentation Chunking
par: Nguyen, Hai Toan, et autres
Publié: (2025)

Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation
par: Zhong, Zijie, et autres
Publié: (2024)

Cross-Document Topic-Aligned Chunking for Retrieval-Augmented Generation
par: Stankovic, Mile
Publié: (2025)

Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models
par: Sarwar, Tabinda, et autres
Publié: (2025)

Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation
par: Merola, Carlo, et autres
Publié: (2025)

TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text
par: Lu, Songshuo, et autres
Publié: (2024)

Beyond Chunk-Local Extraction: Cross-Chunk Graph Augmentation for GraphRAG
par: Zhang, Jiaming, et autres
Publié: (2026)

Enhancing Financial Report Question-Answering: A Retrieval-Augmented Generation System with Reranking Analysis
par: Cheng, Zhiyuan, et autres
Publié: (2026)

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation
par: Agarwal, Shubham, et autres
Publié: (2025)

Query-Adaptive Semantic Chunking for Retrieval-Augmented Generation: A Dynamic Strategy with Contextual Window Expansion
par: Rastogi, Mudit
Publié: (2026)

The Chronicles of RAG: The Retriever, the Chunk and the Generator
par: Finardi, Paulo, et autres
Publié: (2024)

QCG-Rerank: Chunks Graph Rerank with Query Expansion in Retrieval-Augmented LLMs for Tourism Domain
par: Wei, Qikai, et autres
Publié: (2024)

Unified Active Retrieval for Retrieval Augmented Generation
par: Cheng, Qinyuan, et autres
Publié: (2024)

BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
par: Luo, Kun, et autres
Publié: (2024)

AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework
par: Li, Xiang, et autres
Publié: (2024)

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree
par: Zhang, Yilin, et autres
Publié: (2025)

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
par: Yao, Zijun, et autres
Publié: (2024)

Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking
par: Puspitasari, Fachrina Dewi, et autres
Publié: (2026)

Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval
par: Yan, Yibo, et autres
Publié: (2026)

Inference Scaling for Bridging Retrieval and Augmented Generation
par: Lee, Youngwon, et autres
Publié: (2024)

Influence Guided Context Selection for Effective Retrieval-Augmented Generation
par: Deng, Jiale, et autres
Publié: (2025)

Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG
par: Bachyr, Omar El, et autres
Publié: (2026)

Rethinking Retrieval: From Traditional Retrieval Augmented Generation to Agentic and Non-Vector Reasoning Systems in the Financial Domain for Large Language Models
par: Lumer, Elias, et autres
Publié: (2025)

An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation
par: Zhu, Kun, et autres
Publié: (2024)

Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering
par: Guo, Tiezheng, et autres
Publié: (2024)

Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation
par: Sun, Liwen, et autres
Publié: (2024)

Corrective Retrieval Augmented Generation
par: Yan, Shi-Qi, et autres
Publié: (2024)

SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
par: Zhang, Xuechen, et autres
Publié: (2025)

Context Shapes LLMs Retrieval-Augmented Fact-Checking Effectiveness
par: Bernardelle, Pietro, et autres
Publié: (2026)

Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented Generation
par: Wu, Suhang, et autres
Publié: (2024)

Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches
par: Tao, Yicheng, et autres
Publié: (2025)

Agentic Retrieval-Augmented Generation for Financial Document Question Answering
par: Shu, Yang, et autres
Publié: (2026)

Grounding Language Model with Chunking-Free In-Context Retrieval
par: Qian, Hongjin, et autres
Publié: (2024)

RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation Systems
par: Zeng, Yixiao, et autres
Publié: (2025)