3 citations · 8 across the 8 of their papers we have counts for
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 when their pre-training data include the evaluated events. An LLM trained in 2024 may already en…
cs.AI2024★ 3 cited
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…