FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Choi, Chanyeol, Kwon, Jihoon, Ha, Jaeseon, Choi, Hojun, Kim, Chaewoon, Lee, Yongjae, Sohn, Jy-yong, Lopez-Lira, Alejandro |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering
by: Choi, Chanyeol, et al.
Published: (2025)
by: Choi, Chanyeol, et al.
Published: (2025)
Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance
by: Choi, Chanyeol, et al.
Published: (2025)
by: Choi, Chanyeol, et al.
Published: (2025)
Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning
by: Kwon, Jihoon, et al.
Published: (2026)
by: Kwon, Jihoon, et al.
Published: (2026)
Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documents
by: Choe, Jaeyoung, et al.
Published: (2025)
by: Choe, Jaeyoung, et al.
Published: (2025)
Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
by: Kwon, Jihoon, et al.
Published: (2025)
by: Kwon, Jihoon, et al.
Published: (2025)
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)
Reference-Aligned Retrieval-Augmented Question Answering over Heterogeneous Proprietary Documents
by: Choi, Nayoung, et al.
Published: (2025)
by: Choi, Nayoung, et al.
Published: (2025)
Improving Multi-lingual Alignment Through Soft Contrastive Learning
by: Park, Minsu, et al.
Published: (2024)
by: Park, Minsu, et al.
Published: (2024)
RVR: Retrieve-Verify-Retrieve for Comprehensive Question Answering
by: Qian, Deniz, et al.
Published: (2026)
by: Qian, Deniz, et al.
Published: (2026)
Can Separators Improve Chain-of-Thought Prompting?
by: Park, Yoonjeong, et al.
Published: (2024)
by: Park, Yoonjeong, et al.
Published: (2024)
Cross-Sectional Asset Retrieval via Future-Aligned Soft Contrastive Learning
by: Lee, Hyeongmin, et al.
Published: (2026)
by: Lee, Hyeongmin, et al.
Published: (2026)
Linq-Embed-Mistral Technical Report
by: Choi, Chanyeol, et al.
Published: (2024)
by: Choi, Chanyeol, et al.
Published: (2024)
Metadata-Driven Retrieval-Augmented Generation for Financial Question Answering
by: Dadopoulos, Michail, et al.
Published: (2025)
by: Dadopoulos, Michail, et al.
Published: (2025)
MUST-RAG: MUSical Text Question Answering with Retrieval Augmented Generation
by: Kwon, Daeyong, et al.
Published: (2025)
by: Kwon, Daeyong, et al.
Published: (2025)
FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering
by: Zhou, Yixi, et al.
Published: (2026)
by: Zhou, Yixi, et al.
Published: (2026)
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
by: Kim, Juyeon, et al.
Published: (2024)
by: Kim, Juyeon, et al.
Published: (2024)
Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering
by: Ye, Linhao, et al.
Published: (2025)
by: Ye, Linhao, et al.
Published: (2025)
FinSage: A Multi-aspect RAG System for Financial Filings Question Answering
by: Wang, Xinyu, et al.
Published: (2025)
by: Wang, Xinyu, et al.
Published: (2025)
Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems
by: Chen, Jiajing, et al.
Published: (2024)
by: Chen, Jiajing, et al.
Published: (2024)
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)
RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering
by: Besrour, Ines, et al.
Published: (2025)
by: Besrour, Ines, et al.
Published: (2025)
Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering
by: Ngo, Nghia Trung, et al.
Published: (2024)
by: Ngo, Nghia Trung, et al.
Published: (2024)
ArtistMus: A Globally Diverse, Artist-Centric Benchmark for Retrieval-Augmented Music Question Answering
by: Kwon, Daeyong, et al.
Published: (2025)
by: Kwon, Daeyong, 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)
Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering
by: Kaiser, Magdalena, et al.
Published: (2025)
by: Kaiser, Magdalena, et al.
Published: (2025)
Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG
by: Bachyr, Omar El, et al.
Published: (2026)
by: Bachyr, Omar El, et al.
Published: (2026)
Retrieval Augmented Generation for Domain-specific Question Answering
by: Sharma, Sanat, et al.
Published: (2024)
by: Sharma, Sanat, et al.
Published: (2024)
SF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question Answering
by: Yu, Rui, et al.
Published: (2026)
by: Yu, Rui, et al.
Published: (2026)
SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation
by: Besrour, Ines, et al.
Published: (2025)
by: Besrour, Ines, et al.
Published: (2025)
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs
by: Hu, Yuntong, et al.
Published: (2025)
by: Hu, Yuntong, et al.
Published: (2025)
Evaluating the Retrieval Component in LLM-Based Question Answering Systems
by: Alinejad, Ashkan, et al.
Published: (2024)
by: Alinejad, Ashkan, et al.
Published: (2024)
Answer Retrieval in Legal Community Question Answering
by: Askari, Arian, et al.
Published: (2024)
by: Askari, Arian, et al.
Published: (2024)
Improving Retrieval for RAG based Question Answering Models on Financial Documents
by: Setty, Spurthi, et al.
Published: (2024)
by: Setty, Spurthi, et al.
Published: (2024)
A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation
by: Chen, Ziyang, et al.
Published: (2025)
by: Chen, Ziyang, et al.
Published: (2025)
Extracting Information from Scientific Literature via Visual Table Question Answering Models
by: Kim, Dongyoun, et al.
Published: (2025)
by: Kim, Dongyoun, et al.
Published: (2025)
KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
by: Sun, Yushi, et al.
Published: (2025)
by: Sun, Yushi, et al.
Published: (2025)
ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question Answering
by: Lupart, Simon, et al.
Published: (2025)
by: Lupart, Simon, et al.
Published: (2025)
MIXRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
by: Liu, Lihui, et al.
Published: (2025)
by: Liu, Lihui, et al.
Published: (2025)
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering
by: Dong, Kuicai, et al.
Published: (2025)
by: Dong, Kuicai, et al.
Published: (2025)
Similar Items
-
FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering
by: Choi, Chanyeol, et al.
Published: (2025) -
Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance
by: Choi, Chanyeol, et al.
Published: (2025) -
Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning
by: Kwon, Jihoon, et al.
Published: (2026) -
Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documents
by: Choe, Jaeyoung, et al.
Published: (2025) -
Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
by: Kwon, Jihoon, et al.
Published: (2025)