| | Chat Bankman-Fried: an Exploration of LLM Alignment in Finance
Claudia Biancotti, Carolina Camassa, Andrea Coletta, Oliver Giudice and Aldo Glielmo |
| | GraphRAG Analysis for Financial Narrative Summarization and A Framework for Optimizing Domain Adaptation
Neelesh Kumar Shukla, Prabhat Prabhakar, Sakthivel Thangaraj, Sandeep Singh, Weiyi Sun, C Prasanna Venkatesan and Viji Krishnamurthy |
| | BuDDIE: A Business Document Dataset for Multi-task Information Extraction
Dongsheng Wang, Ran Zmigrod, Mathieu J. Sibue, Yulong Pei, Petr Babkin, Ivan Brugere, Xiaomo Liu, Nacho Navarro, Antony Papadimitriou, William Watson, Zhiqiang Ma, Armineh Nourbakhsh and Sameena Shah |
| | FinMoE: A MoE-based Large Chinese Financial Language Model
Xuanyu Zhang and Qing Yang |
| | Bridging the Gap: Efficient Cross-Lingual NER in Low-Resource Financial Domain
Sunisth Kumar, Mohammed ElKholy, Davide Liu and Alexandre Boulenger |
| | Evaluating Financial Literacy of Large Language Models through Domain Specific Languages for Plain Text Accounting
Alexei Gustavo Figueroa Rosero, Paul Grundmann, Julius Freidank, Wolfgang Nejdl and Alexander Loeser |
| | Synthetic Data Generation Using Large Language Models for Financial Question Answering
Chetan Harsha, Karmvir Singh Phogat, Sridhar Dasaratha, Sai Akhil Puranam and Shashishekar Ramakrishna |
| | Concept-Based RAG Models: A High-Accuracy Fact Retrieval Approach
Cheng-Yu Lin and Jyh-Shing Jang |
| | Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain
Benno Uthayasooriyar, Antoine Ly, Franck Vermet and Caio Corro |
| | AveniBench: Accessible and Versatile Evaluation of Finance Intelligence
Mateusz Klimaszewski, Pinzhen Chen, Liane Guillou, Ioannis Papaioannou, Barry Haddow and Alexandra Birch |
| | Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs
Felix Drinkall, Janet B. Pierrehumbert and Stefan Zohren |
| | Investigating the effectiveness of length based rewards in DPO for building Conversational Financial Question Answering Systems
Anushka Yadav, Sai Krishna Rallabandi, Parag Pravin Dakle and Preethi Raghavan |
| | CreditLLM: Constructing Financial AI Assistant for Credit Products using Financial LLM and Few Data
Sixing Yan and Ting Zhu |
| | Modeling Interactions Between Stocks Using LLM-Enhanced Graphs for Volume Prediction
Zhiyu Xu, Yi Liu, Yuchi Wang, Ruihan Bao, Keiko Harimoto and Xu Sun |
| | Financial Named Entity Recognition: How Far Can LLM Go?
Yi-Te Lu and Yintong Huo |
| | Proxy Tuning for Financial Sentiment Analysis: Overcoming Data Scarcity and Computational Barriers
Yuxiang Wang, Yuchi Wang, Yi Liu, Ruihan Bao, Keiko Harimoto and Xu Sun |
| | The contribution of LLMs to relation extraction in the economic field
Mohamed Ettaleb, Mouna Kamel, Nathalie Aussenac-Gilles and Véronique MORICEAU |
| | Generating Financial News Articles from Factors of Stock Price Rise / Decline by LLMs
Shunsuke Nishida and Takehito Utsuro |
| | Can Large language model analyze financial statements well?
Xinlin Wang and Mats Brorsson |
| | AMWAL: Named Entity Recognition for Arabic Financial News
Muhammad S. Abdo, Yash Hatekar and Damir Cavar |
| | The Financial Document Causality Detection Shared Task (FinCausal 2025)
Antonio Moreno-Sandoval, Jordi Porta, Blanca Carbajo-Coronado, Yanco Torterolo and Doaa Samy |
| | KULFi Framework: Knowledge Utilization for Optimizing Large Language Models for Financial Causal Reasoning
Neelesh Kumar Shukla, Sandeep Singh, Prabhat Kumar Prabhakar, Sakthivel Thangaraj, Weiyi Sun, C Prasanna Venkatesan and Viji Krishnamurthy |
| | Exploring the Effectiveness of Multilingual and Generative Large Language Models for Question Answering in Financial Texts
Ali Al-Laith |
| | CLRG@FinCausal2025: Cause-Effect Extraction in Finance Domain
Vibhavkrishnan K S, Pattabhi RK Rao and Sobha Lalitha Devi |
| | Sarang at FinCausal 2025: Contextual QA for Financial Causality Detection Combining Extractive and Generative Models
Avinash Trivedi, Gauri Toshniwal, Sangeetha S and S R. Balasundaram |
| | Enhancing Causal Relationship Detection Using Prompt Engineering and Large Language Models
Pulkit Chatwal, Amit Agarwal and Ankush Mittal |
| | Addressing Hallucination in Causal Q&A: The Efficacy of Fine-tuning over Prompting in LLMs
Georg Niess, Houssam Razouk, Stasa Mandic and Roman Kern |
| | PresiUniv at FinCausal 2025 Shared Task: Applying Fine-tuned Language Models to Explain Financial Cause and Effect with Zero-shot Learning
Medha Jeenoor, Madiha Aziz, Saipriya Dipika Vaidyanathan, Avijit Samantraya and Sandeep Mathias |
| | Extracting Financial Causality through QA: Insights from FinCausal 2025 Spanish Subtask
Marcelo Jose Moreno Aviles and Alejandro Vaca |
| | FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task
Zhiwei Liu, Keyi Wang, zhuo bao, Xin Zhang, Jiping Dong, Kailai Yang, Mohsinul Kabir, Polydoros Giannouris, Rui Xing, Park Seongchan, Jaehong Kim, Dong Li, Qianqian Xie and Sophia Ananiadou |
| | FMD-Mllama at the Financial Misinformation Detection Challenge Task: Multimodal Reasoning and Evidence Generation
Zheyang Luo, Guangbin Zhang, Jiahao Xiao, Xuankang Zhang, Yulin Dou and Jiangming Liu |
| | Ask Asper at the Financial Misinformation Detection Challenge Task: Enhancing Financial Decision-Making: A Dual Approach Using Explainable LLMs for Misinformation Detection
Sonal Singh, Rahul Mehta, Yadunath Gupta and Soudip Roy Chowdhury |
| | Team FMD LLM at the Financial Misinformation Detection Challenge Task: Exploring Task Structuring and Metadata Impact on Performance
Ken Kawamura |
| | Dunamu ML at the Financial Misinformation Detection Challenge Task: Improving Supervised Fine-Tuning with LLM-based Data Augmentation
Dongjun Lee and Heesoo Park |
| | 1-800-SHARED-TASKS at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains
Jebish Purbey, Siddhant Gupta, Nikhil Manali, Siddartha Pullakhandam, Drishti Sharma, Ashay Srivastava and Ram Mohan Rao Kadiyala |
| | GMU-MU at the Financial Misinformation Detection Challenge Task: Exploring LLMs for Financial Claim Verification
Alphaeus Dmonte, Roland R. Oruche, Marcos Zampieri, Eunmi Ko and Prasad Calyam |
| | Deloitte (Drocks) at the Financial Misinformation Detection Challenge Task: Enhancing Misinformation Detection through Instruction-Tuned Models
Harika Abburi, Alex Chandler, Edward Bowen, Sanmitra Bhattacharya and Nirmala Pudota |
| | Capybara at the Financial Misinformation Detection Challenge Task: Chain-of-Thought Enhanced Financial Misinformation Detection
Yupeng Cao, Haohang Li, Yangyang Yu and Shashidhar Reddy Javaji |
| | A Scalable Framework for Legal Text Understanding in Regulatory and Financial Contexts.
Santiago Martínez, Juan Manuel Castañeda and Ruben Manrique |
| | Audit-FT at the Regulations Challenge Task: An Open-Source Large Language Model for Audit
Jiajia Huang, Maowei Jiang and Haoran Zhu |
| | FinMind-Y-Me at the Regulations Challenge Task: Financial Mind Your Meaning based on THaLLE
Pantid Chantangphol, Pornchanan Balee, Kantapong Sucharitpongpan, Chanatip Saetia and Tawunrat Chalothorn |
| | FinNLP-FNP-LLMFinLegal-2025 Shared Task: Regulations Challenge
Keyi Wang, Jaisal Patel, Charlie Shen, Daniel Kim, Andy Zhu, Alex Lin, Luca Borella, Cailean Osborne, Matt White, Steve Yang, Kairong Xiao and Xiao-Yang Liu |
| | IntelliChain Stars at the Regulations Challenge Task: A Large Language Model for Financial Regulation
Shijia Jiang, Yongfu Dai, Haochen Jia, Yuxin Wang and Hao Wang |
| | Fin-DBQA Shared-task: Database Querying and Reasoning
Rungsiman Nararatwong, Natthawut Kertkeidkachorn, Hiroya Takamura and Ryutaro Ichise |
| | Adapt LLM for Multi-turn Reasoning QA using Tidy Data
Jan Strich |
| | FinNLP-FNP-LLMFinLegal @ COLING 2025 Shared Task: Agent-Based Single Cryptocurrency Trading Challenge
Yangyang Yu, Haohang Li, Yupeng Cao, Keyi Wang, Zhiyang Deng, Zhiyuan Yao, Yuechen Jiang, Dong Li, Ruey-Ling Weng and Jordan W. Suchow |
| | Sam’s Fans at the Crypto Trading Challenge Task: A Threshold-Based Decision Approach Based on FinMem Framework
You Wang, Jingyi Wei and Mingsong Ye |
| | 300k/ns team at the Crypto Trading Challenge Task: Enhancing the justification of accurate trading decisions through parameter-efficient fine-tuning of reasoning models
Artem Agarkov, Mihail Kulik and Leonid Shmyrkov |