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📝 深度技术 arXiv NLP 2026-07-28

LLM-Based vs. Lexicon-Based Sentiment Signals for Tail-Risk Detection in Meme Stocks

大模型vs词典情感分析：哪种方法更能预警迷因股的尾部风险？一文对比两者在极端市场事件中的检测能力。

arXiv:2607.24072v1 Announce Type: new Abstract: This paper presents an empirical comparison of lexicon-based and Large Language Model (LLM)-based sent…

llm 情感分析尾部风险 meme股票金融科技

📝 深度技术 arXiv AI 2026-06-11

Estimating Tail Risks in Language Model Output Distributions

ICML 2026新作，精准量化大模型输出分布中的尾部风险，为模型安全与可靠性提供理论工具

arXiv:2604.22167v2 Announce Type: replace-cross Abstract: Language models are increasingly capable and are being rapidly deployed on a population-leve…

语言模型尾部风险概率分布模型安全风险评估

📝 深度技术 arXiv 机器学习 2026-06-05

ReSGA: A Large Tail Risk Model for Learning Value-at-Risk and Expected Shortfall

提出ReSGA大型尾部风险模型，专攻VaR和预期缺口学习，刷新金融风险预测精度。

arXiv:2606.04576v1 Announce Type: cross Abstract: Learning Value-at-Risk (VaR) and Expected Shortfall (ES) is important for managing financial risks e…

尾部风险深度学习金融风险 var 预期短亏

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

LLM-Based vs. Lexicon-Based Sentiment Signals for Tail-Risk Detection in Meme Stocks

Estimating Tail Risks in Language Model Output Distributions

ReSGA: A Large Tail Risk Model for Learning Value-at-Risk and Expected Shortfall

📅 日期