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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.AI2026
Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models
Minda Zhao, Yutong Yang, Chufei Peng +5
Emotional tone is pervasive in human communication, yet its influence on large language model (LLM) behaviour remains unclear. Here, we examine how first-person emotional framing i…