5 papers
IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents
Michael Galarnyk, Siddharth Lohani, Vidhyakshaya Kannan +8
An Initial Public Offering (IPO) filing is a document released when a private firm goes public, allowing individual (retail) investors to purchase its shares. These filings describ…
Evolutionary Task Discovery: Advancing Reasoning Frontiers via Skill Composition and Complexity Scaling
Liqin Ye, Yanbin Yin, Michael Galarnyk +3
The reasoning frontier of Large Language Models (LLMs) has advanced significantly through modern post-training paradigms (e.g., Reinforcement Learning from Verifiable Rewards (RLVR…
Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
Rongzhi Zhang, Liqin Ye, Yuzhao Heng +5
Precise attribute intensity control--generating Large Language Model (LLM) outputs with specific, user-defined attribute intensities--is crucial for AI systems adaptable to diverse…
Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally
Agam Shah, Siddhant Sukhani, Huzaifa Pardawala +24
Central banks around the world play a crucial role in maintaining economic stability. Deciphering policy implications in their communications is essential, especially as misinterpr…
Beyond the Reported Cutoff: Where Large Language Models Fall Short on Financial Knowledge
Agam Shah, Liqin Ye, Sebastian Jaskowski +2
Large Language Models (LLMs) are frequently utilized as sources of knowledge for question-answering. While it is known that LLMs may lack access to real-time data or newer data pro…