Papers
Hybrid Intelligence for Logical Fallacy Detection
Mariia Kutepova, Khalid Al Khatib
Time Is Effort: Estimating Human Post-Editing Time for Grammar Error Correction Tool Evaluation
Ankit Vadehra, Bill Johnson, Gene Saunders et al.
Word Clouds as Common Voices: LLM-Assisted Visualization of Participant-Weighted Themes in Qualitative Interviews
Joseph T Colonel, Baihan Lin
Re:Member: Emotional Question Generation from Personal Memories
Zackary Rackauckas, Nobuaki Minematsu, Julia Hirschberg
How Well Can AI Models Generate Human Eye Movements During Reading?
Ivan Stebakov, Ilya Pershin
Collaborative Co-Design Practices for Supporting Synthetic Data Generation in Large Language Models: A Pilot Study
Heloisa Candello, Raya Horesh, Aminat Adebiyi et al.
Predictive Modeling of Human Developers’ Evaluative Judgment of Generated Code as a Decision Process
Sergey Kovalchuk, Yanyu Li, Dmitriy Fedrushkov
Towards an Automated Framework to Audit Youth Safety on TikTok
Linda Xue, Francesco Corso, Nicolo Fontana et al.
MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users
WenHao Wang, Mengying Yuan, Zijie Yu et al.
Out of the Box, into the Clinic? Evaluating State-of-the-Art ASR for Clinical Applications for Older Adults
Bram Van Dijk, Tiberon Kuiper, Sirin Aoulad si Ahmed et al.
First Impressions from Comparing Form-Based and Conversational Interfaces for Public Service Access in India
Chaitra C R, Pranathi Voora, Bhaskar Ruthvik Bikkina et al.
Rethinking Search: A Study of University Students’ Perspectives on Using LLMs and Traditional Search Engines in Academic Problem Solving
Md. Faiyaz Abdullah Sayeedi, Md. Sadman Haque, Zobaer Ibn Razzaque et al.
TripleCheck: Transparent Post-Hoc Verification of Biomedical Claims in AI-Generated Answers
Ana Valeria González, Sidsel Boldsen, Roland Hangelbroek
Supporting Online Discussions: Integrating AI Into the adhocracy+ Participation Platform To Enhance Deliberation
Maike Behrendt, Stefan Sylvius Wagner, Mira Warne et al.
Multi-Agent Collaboration for Investment Guidance: Earnings2Insights Report Generation
Mingrui Tan, Yang Liu, Kun Gao et al.
Agentic LLMs for Analyst-Style Financial Insights: An LLM Pipeline for Persuasive Financial Analysis
Gaurangi Sinha, Rajarajeswari Palacharla, Manoj Balaji Jagadeeshan
Jetsons at the FinNLP-2025 - Earnings2Insights: Persuasive Investment Report Generation Using Single And Multi-Agent Frameworks
Parag Dakle, Sai Krishna Rallabandi, Nikhi Kohli et al.
Meta Prompting for Analyst Report Generation: Turning Earnings Calls into Investment Guidance
Pulkit Chatwal, Mann Bajpai, Priyanshu Deswal et al.
Structured Adversarial Synthesis: A Multi-Agent Framework for Generating Persuasive Financial Analysis from Earnings Call Transcripts
Saisab Sadhu, Biswajit Patra, Tanmay Basu
FinDebate: Multi-Agent Collaborative Intelligence for Financial Analysis
Tianshi Cai, Guanxu Li, Nijia Han et al.
From Earnings Calls to Investment Reports: Evaluating Role-based Multi-Agent LLM Systems
Ranjan Satapathy, Raphael Liew, Joyjit Chattorj et al.
Beyond Summaries: Multi-Agent Generation of Investment Reports with Text, Tables, and Charts
Weijie Yang, Junbo Peng