Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing

Chung-Chi Chen, Genta Indra Winata, Stephen Rawls, Anirban Das, Hsin-Hsi Chen, Hiroya Takamura (Editors)

Anthology ID:: 2025.finnlp-2
Month:: November
Year:: 2025
Address:: Suzhou, China
Venue:: FinNLP
Events:: The 2025 Conference on Empirical Methods in Natural Language Processing | Financial Technology and Natural Language Processing (2025)
SIG:
Publisher:: Association for Computational Linguistics
URL:: https://preview.aclanthology.org/vol-to-evt/2025.finnlp-2/
DOI:: 10.18653/v1/2025.finnlp-2
Bib Export formats:: BibTeX
PDF:: https://preview.aclanthology.org/vol-to-evt/2025.finnlp-2.pdf

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LLM as a Guide: an Approach for Unsupervised Economic Relation Discovery in Administrative Documents
Thomas Sebbag | Solen Quiniou | Emmanuel Morin

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Zero-Shot Extraction of Stock Relationship Graphs with LLMs
Hao Zhou | Luis Felipe Costa Sperb | Tiejun Ma

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StockGenChaR: A Study on the Evaluation of Large Vision-Language Models on Stock Chart Captioning
Le Qiu | Emmanuele Chersoni

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Towards Efficient FinBERT via Quantization and Coreset for Financial Sentiment Analysis
Avinash Kumar Sharma | Aisha Hamad Hassan | Tushar Shinde

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LAVA: Logic-Aware Validation and Augmentation Framework for Large-Scale Financial Document Auditing
Ruoqi Shu | Xuhui Wang | Isaac Wang | Yanming Mai | Bo Wan

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Do Companies Reveal Their Own Fraud? - A Novel Data Set for Fraud Detection Based on 10-K Reports
Moustafa Amin | Matthias Aßenmacher

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Synthesizing Behaviorally-Grounded Reasoning Chains: A Data-Generation Framework for Personal Finance LLMs
Akhil Theerthala

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Detecting Evasive Answers in Financial Q&A: A Psychological Discourse Taxonomy and Lightweight Baselines
Khaled Al Nuaimi | Gautier Marti | Alexis Marchal | Andreas Henschel

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Enhancing Post Earnings Announcement Drift Measurement with Large Language Models
Samuel Hadlock | Jesse Roberts | Joohun Lee

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Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis
Yilin Wu | Han Yuan | Li Zhang | Zheng Ma

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A Self-Improving Method for Generating Descriptions of Financial Data Quality Grading Using LLMs
Yang Zhao | Yohei Ikawa | Bishwaranjan Bhattacharjee

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Beyond Summaries: Multi-Agent Generation of Investment Reports with Text, Tables, and Charts
Weijie Yang | Junbo Peng

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From Earnings Calls to Investment Reports: Evaluating Role-based Multi-Agent LLM Systems
Ranjan Satapathy | Raphael Liew | Joyjit Chattorj | Erik Cambria | Rick Goh

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Structured Adversarial Synthesis: A Multi-Agent Framework for Generating Persuasive Financial Analysis from Earnings Call Transcripts
Saisab Sadhu | Biswajit Patra | Tanmay Basu

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Meta Prompting for Analyst Report Generation: Turning Earnings Calls into Investment Guidance
Pulkit Chatwal | Mann Bajpai | Priyanshu Deswal | Harish Pratap Singh | Santosh Kumar Mishra

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LangKG at the FinNLP 2025 - Earnings2Insights: Task-Adaptive LLMs To Generate Human-Persuasive Investment Reports
Shivika Prasanna | Hui Su

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Agentic LLMs for Analyst-Style Financial Insights: An LLM Pipeline for Persuasive Financial Analysis
Gaurangi Sinha | Rajarajeswari Palacharla | Manoj Balaji Jagadeeshan

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Multi-Agent Collaboration for Investment Guidance: Earnings2Insights Report Generation
Mingrui Tan | Yang Liu | Kun Gao | Fei Gao | Yuting Song