Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
Summoning the Oracle to Slay It: Mitigating Look-Ahead Bias in Financial Backtesting with Large Language Models
Weixian Waylon Li, Mengyu Wang, Tiejun Ma
Backtesting large language models (LLMs) on historical financial data is unreliable because pre-training cuts off after the events happened. An LLM trained in 2024 already "knows"…
cs.AI2025
TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model
Weixian Waylon Li, Yftah Ziser, Yifei Xie +2
Traditional Learning-To-Rank (LETOR) approaches, including pairwise methods like RankNet and LambdaMART, often fall short by solely focusing on pairwise comparisons, leading to sub…