Template-Based Financial Report Generation in Agentic and Decomposed Information Retrieval
Fuente:
arXiv
Saved in:
| Main Authors: | Tian, Yong-En, Tang, Yu-Chien, Wang, Kuang-Da, Yen, An-Zi, Peng, Wen-Chih |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation
by: Xi, Yunjia, et al.
Published: (2025)
by: Xi, Yunjia, et al.
Published: (2025)
MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation
by: Cheng, Wenzhuo, et al.
Published: (2026)
by: Cheng, Wenzhuo, et al.
Published: (2026)
Decomposing Retrieval Failures in RAG for Long-Document Financial Question Answering
by: Kobeissi, Amine, et al.
Published: (2026)
by: Kobeissi, Amine, et al.
Published: (2026)
Towards Self-Evolving Agentic Literature Retrieval
by: Du, Yuwen, et al.
Published: (2026)
by: Du, Yuwen, et al.
Published: (2026)
Agentic Information Retrieval
by: Zhang, Weinan, et al.
Published: (2024)
by: Zhang, Weinan, et al.
Published: (2024)
Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese Regulations
by: Yu, Chia-Heng, et al.
Published: (2025)
by: Yu, Chia-Heng, et al.
Published: (2025)
Doctor-RAG: Failure-Aware Repair for Agentic Retrieval-Augmented Generation
by: Jiao, Shuguang, et al.
Published: (2026)
by: Jiao, Shuguang, et al.
Published: (2026)
DynaTree: Dynamic Agentic Retrieval Tree for Time-Sensitive News Retrieval
by: Qi, Siyuan, et al.
Published: (2026)
by: Qi, Siyuan, et al.
Published: (2026)
Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base
by: An, Zhiyu, et al.
Published: (2024)
by: An, Zhiyu, et al.
Published: (2024)
AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases
by: Suresh, Susheel, et al.
Published: (2026)
by: Suresh, Susheel, 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)
Fix Before Search: Benchmarking Agentic Query Visual Pre-processing in Multimodal Retrieval-augmented Generation
by: Zhang, Jiankun, et al.
Published: (2026)
by: Zhang, Jiankun, et al.
Published: (2026)
On the Accuracy Limits of Sequential Recommender Systems: An Entropy-Based Approach
by: Xu, En, et al.
Published: (2026)
by: Xu, En, et al.
Published: (2026)
Query Generation Pipeline with Enhanced Answerability Assessment for Financial Information Retrieval
by: Kim, Hyunkyu, et al.
Published: (2025)
by: Kim, Hyunkyu, et al.
Published: (2025)
Query, Decompose, Compress: Structured Query Expansion for Efficient Multi-Hop Retrieval
by: Yun, JungMin, et al.
Published: (2026)
by: Yun, JungMin, et al.
Published: (2026)
On the Robustness of Generative Information Retrieval Models
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
UQLegalAI@COLIEE2025: Advancing Legal Case Retrieval with Large Language Models and Graph Neural Networks
by: Tang, Yanran, et al.
Published: (2025)
by: Tang, Yanran, et al.
Published: (2025)
FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation
by: Choi, Chanyeol, et al.
Published: (2025)
by: Choi, Chanyeol, et al.
Published: (2025)
Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation
by: Tian, Fangzheng, et al.
Published: (2026)
by: Tian, Fangzheng, et al.
Published: (2026)
TCDE: Topic-Centric Dual Expansion of Queries and Documents with Large Language Models for Information Retrieval
by: Yang, Yu, et al.
Published: (2025)
by: Yang, Yu, et al.
Published: (2025)
CogPlanner: Unveiling the Potential of Agentic Multimodal Retrieval Augmented Generation with Planning
by: Yu, Xiaohan, et al.
Published: (2025)
by: Yu, Xiaohan, et al.
Published: (2025)
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
Generative Information Retrieval Evaluation
by: Alaofi, Marwah, et al.
Published: (2024)
by: Alaofi, Marwah, et al.
Published: (2024)
ReaKase-8B: Legal Case Retrieval via Knowledge and Reasoning Representations with LLMs
by: Tang, Yanran, et al.
Published: (2025)
by: Tang, Yanran, 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)
CaseLink: Inductive Graph Learning for Legal Case Retrieval
by: Tang, Yanran, et al.
Published: (2024)
by: Tang, Yanran, et al.
Published: (2024)
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems
by: Qin, Jiarui, et al.
Published: (2024)
by: Qin, Jiarui, et al.
Published: (2024)
Agentic-R: Learning to Retrieve for Agentic Search
by: Liu, Wenhan, et al.
Published: (2026)
by: Liu, Wenhan, et al.
Published: (2026)
Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm
by: Tang, Jianting, et al.
Published: (2025)
by: Tang, Jianting, et al.
Published: (2025)
Interactions with Generative Information Retrieval Systems
by: Aliannejadi, Mohammad, et al.
Published: (2024)
by: Aliannejadi, Mohammad, et al.
Published: (2024)
Is Relevance Propagated from Retriever to Generator in RAG?
by: Tian, Fangzheng, et al.
Published: (2025)
by: Tian, Fangzheng, et al.
Published: (2025)
Generative Retrieval for Book search
by: Tang, Yubao, et al.
Published: (2025)
by: Tang, Yubao, et al.
Published: (2025)
RAQG-QPP: Query Performance Prediction with Retrieved Query Variants and Retrieval Augmented Query Generation
by: Tian, Fangzheng, et al.
Published: (2026)
by: Tian, Fangzheng, et al.
Published: (2026)
LEXA: Legal Case Retrieval via Graph Contrastive Learning with Contextualised LLM Embeddings
by: Tang, Yanran, et al.
Published: (2024)
by: Tang, Yanran, et al.
Published: (2024)
Robust Information Retrieval
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
Model Editing for New Document Integration in Generative Information Retrieval
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, 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)
UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses
by: Łajewska, Weronika, et al.
Published: (2025)
by: Łajewska, Weronika, et al.
Published: (2025)
Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs
by: Han, Haoyu, et al.
Published: (2025)
by: Han, Haoyu, et al.
Published: (2025)
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)
Similar Items
-
InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation
by: Xi, Yunjia, et al.
Published: (2025) -
MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation
by: Cheng, Wenzhuo, et al.
Published: (2026) -
Decomposing Retrieval Failures in RAG for Long-Document Financial Question Answering
by: Kobeissi, Amine, et al.
Published: (2026) -
Towards Self-Evolving Agentic Literature Retrieval
by: Du, Yuwen, et al.
Published: (2026) -
Agentic Information Retrieval
by: Zhang, Weinan, et al.
Published: (2024)