1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.IR2026
From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper Evaluation
Pujun Zheng, Jiacheng Yao, Jinquan Zheng +6
Large language models (LLMs) are currently applied to scientific paper evaluation by assigning an absolute score to each paper independently. However, since score scales vary acros…
q-fin.CP2025
Exploring the Synergy of Quantitative Factors and Newsflow Representations from Large Language Models for Stock Return Prediction
Tian Guo, Emmanuel Hauptmann
In quantitative investing, return prediction supports various tasks, including stock selection, portfolio optimization, and risk management. Quantitative factors, such as valuation…
q-fin.CP2024★ 1 cited
Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow
Tian Guo, Emmanuel Hauptmann
Large language models (LLMs) and their fine-tuning techniques have demonstrated superior performance in various language understanding and generation tasks. This paper explores fin…