4 citations · 9 across the 5 of their papers we have counts for
5 papers
EconNLI: Evaluating Large Language Models on Economics Reasoning
Yue Guo, Yi Yang
Large Language Models (LLMs) are widely used for writing economic analysis reports or providing financial advice, but their ability to understand economic knowledge and reason abou…
Improving Weak-to-Strong Generalization with Reliability-Aware Alignment
Yue Guo, Yi Yang
Large language models (LLMs) are now rapidly advancing and surpassing human abilities on many natural language tasks. However, aligning these super-human LLMs with human knowledge…
Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing
Yue Guo, Zian Xu, Yi Yang
The emergence of Large Language Models (LLMs), such as ChatGPT, has revolutionized general natural language preprocessing (NLP) tasks. However, their expertise in the financial dom…
Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications
Yue Guo, Chenxi Hu, Yi Yang
Temporal data distribution shift is prevalent in the financial text. How can a financial sentiment analysis system be trained in a volatile market environment that can accurately i…
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction
Leilei Gan, Baokui Li, Kun Kuang +5
Given the fact description text of a legal case, legal judgment prediction (LJP) aims to predict the case's charge, law article and penalty term. A core problem of LJP is how to di…