Evaluating Large Language Models on Financial Report Summarization: An Empirical Study
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Xinqi, Zang, Scott, Ren, Yong, Peng, Dingjie, Wen, Zheng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Empirical Study of Many-to-Many Summarization with Large Language Models
by: Wang, Jiaan, et al.
Published: (2025)
by: Wang, Jiaan, et al.
Published: (2025)
An Empirical Comparison of Text Summarization: A Multi-Dimensional Evaluation of Large Language Models
by: Janakiraman, Anantharaman, et al.
Published: (2025)
by: Janakiraman, Anantharaman, et al.
Published: (2025)
Evaluating Large Language Models for Abstract Evaluation Tasks: An Empirical Study
by: Liu, Yinuo, et al.
Published: (2026)
by: Liu, Yinuo, et al.
Published: (2026)
Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models
by: Lyu, Mengxian, et al.
Published: (2026)
by: Lyu, Mengxian, et al.
Published: (2026)
An Empirical Study on Prompt Compression for Large Language Models
by: Zhang, Zheng, et al.
Published: (2025)
by: Zhang, Zheng, et al.
Published: (2025)
An Empirical Analysis of Uncertainty in Large Language Model Evaluations
by: Xie, Qiujie, et al.
Published: (2025)
by: Xie, Qiujie, et al.
Published: (2025)
Benchmarking Large Language Models on CFLUE -- A Chinese Financial Language Understanding Evaluation Dataset
by: Zhu, Jie, et al.
Published: (2024)
by: Zhu, Jie, et al.
Published: (2024)
Enhancing Business Analytics through Hybrid Summarization of Financial Reports
by: Rehman, Tohida
Published: (2025)
by: Rehman, Tohida
Published: (2025)
"You Are Rejected!": An Empirical Study of Large Language Models Taking Hiring Evaluations
by: Fu, Dingjie, et al.
Published: (2025)
by: Fu, Dingjie, et al.
Published: (2025)
An Empirical Analysis on Large Language Models in Debate Evaluation
by: Liu, Xinyi, et al.
Published: (2024)
by: Liu, Xinyi, et al.
Published: (2024)
Evaluating Large Language Models for Financial Reasoning: A CFA-Based Benchmark Study
by: Yao, Xuan, et al.
Published: (2025)
by: Yao, Xuan, et al.
Published: (2025)
Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance
by: Xu, Borui, et al.
Published: (2025)
by: Xu, Borui, et al.
Published: (2025)
Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Data
by: Kwack, TaeYoon, et al.
Published: (2025)
by: Kwack, TaeYoon, et al.
Published: (2025)
Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review
by: Croxford, Emma, et al.
Published: (2024)
by: Croxford, Emma, et al.
Published: (2024)
An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques
by: Aly, Walid Mohamed, et al.
Published: (2025)
by: Aly, Walid Mohamed, et al.
Published: (2025)
Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports
by: Cao, Tianyu, et al.
Published: (2024)
by: Cao, Tianyu, et al.
Published: (2024)
An Empirical Evaluation of Large Language Models on Consumer Health Questions
by: Abrar, Moaiz, et al.
Published: (2024)
by: Abrar, Moaiz, et al.
Published: (2024)
Exploring Iterative Controllable Summarization with Large Language Models
by: Ryu, Sangwon, et al.
Published: (2024)
by: Ryu, Sangwon, et al.
Published: (2024)
Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis
by: Vamvourellis, Dimitris, et al.
Published: (2025)
by: Vamvourellis, Dimitris, et al.
Published: (2025)
An Empirical Analysis of Diversity in Argument Summarization
by: van der Meer, Michiel, et al.
Published: (2024)
by: van der Meer, Michiel, et al.
Published: (2024)
Evaluating Large Language Models for Stance Detection on Financial Targets from SEC Filing Reports and Earnings Call Transcripts
by: Gyawali, Nikesh, et al.
Published: (2025)
by: Gyawali, Nikesh, et al.
Published: (2025)
Evaluating Large Language Models (LLMs) in Financial NLP: A Comparative Study on Financial Report Analysis
by: Mohsin, Md Talha
Published: (2025)
by: Mohsin, Md Talha
Published: (2025)
Cross-Lingual Conversational Speech Summarization with Large Language Models
by: Nelson, Max, et al.
Published: (2024)
by: Nelson, Max, et al.
Published: (2024)
Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization
by: Chrysostomou, George, et al.
Published: (2023)
by: Chrysostomou, George, et al.
Published: (2023)
LLaMandement: Large Language Models for Summarization of French Legislative Proposals
by: Gesnouin, Joseph, et al.
Published: (2024)
by: Gesnouin, Joseph, et al.
Published: (2024)
An Empirical Study of the Role of Incompleteness and Ambiguity in Interactions with Large Language Models
by: Naik, Riya, et al.
Published: (2025)
by: Naik, Riya, et al.
Published: (2025)
The Thinking Spectrum: An Empirical Study of Tunable Reasoning in LLMs through Model Merging
by: Lan, Xiaochong, et al.
Published: (2025)
by: Lan, Xiaochong, et al.
Published: (2025)
Aligning Large Language Models for Enhancing Psychiatric Interviews Through Symptom Delineation and Summarization: Pilot Study
by: So, Jae-hee, et al.
Published: (2024)
by: So, Jae-hee, et al.
Published: (2024)
Low-Rank Adaptation for Multilingual Summarization: An Empirical Study
by: Whitehouse, Chenxi, et al.
Published: (2023)
by: Whitehouse, Chenxi, et al.
Published: (2023)
Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization
by: Deroy, Aniket, et al.
Published: (2024)
by: Deroy, Aniket, et al.
Published: (2024)
Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models
by: Alzahrani, Abdurahmman, et al.
Published: (2024)
by: Alzahrani, Abdurahmman, et al.
Published: (2024)
The Dunning-Kruger Effect in Large Language Models: An Empirical Study of Confidence Calibration
by: Ghosh, Sudipta, et al.
Published: (2026)
by: Ghosh, Sudipta, et al.
Published: (2026)
Large Language Models as Universal Predictors? An Empirical Study on Small Tabular Datasets
by: Pavlidis, Nikolaos, et al.
Published: (2025)
by: Pavlidis, Nikolaos, et al.
Published: (2025)
RWESummary: A Framework and Test for Choosing Large Language Models to Summarize Real-World Evidence (RWE) Studies
by: Mukerji, Arjun, et al.
Published: (2025)
by: Mukerji, Arjun, et al.
Published: (2025)
Assisting Research Proposal Writing with Large Language Models: Evaluation and Refinement
by: Ren, Jing, et al.
Published: (2025)
by: Ren, Jing, et al.
Published: (2025)
An Empirical Study of SFT-DPO Interaction and Parameterization in Small Language Models
by: Feng, Yuming, et al.
Published: (2026)
by: Feng, Yuming, et al.
Published: (2026)
Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph
by: Nechakhin, Vladyslav, et al.
Published: (2024)
by: Nechakhin, Vladyslav, et al.
Published: (2024)
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?
by: Fonseca, Marcio, et al.
Published: (2024)
by: Fonseca, Marcio, et al.
Published: (2024)
CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels
by: Wei, Lingxiao, et al.
Published: (2024)
by: Wei, Lingxiao, et al.
Published: (2024)
Helping Large Language Models Protect Themselves: An Enhanced Filtering and Summarization System
by: Muhaimin, Sheikh Samit, et al.
Published: (2025)
by: Muhaimin, Sheikh Samit, et al.
Published: (2025)
Similar Items
-
An Empirical Study of Many-to-Many Summarization with Large Language Models
by: Wang, Jiaan, et al.
Published: (2025) -
An Empirical Comparison of Text Summarization: A Multi-Dimensional Evaluation of Large Language Models
by: Janakiraman, Anantharaman, et al.
Published: (2025) -
Evaluating Large Language Models for Abstract Evaluation Tasks: An Empirical Study
by: Liu, Yinuo, et al.
Published: (2026) -
Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models
by: Lyu, Mengxian, et al.
Published: (2026) -
An Empirical Study on Prompt Compression for Large Language Models
by: Zhang, Zheng, et al.
Published: (2025)