Can large language models serve as rational players in game theory? a systematic analysis
Game theory, as an analytical tool, is frequently utilized to analyze human behavior in social
science research. With the high alignment between the behavior of Large Language Models …
science research. With the high alignment between the behavior of Large Language Models …
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis
Large language models (LLMs) have achieved promising results in sentiment analysis
through the in-context learning (ICL) paradigm. However, their ability to distinguish subtle …
through the in-context learning (ICL) paradigm. However, their ability to distinguish subtle …
Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing
Cross-document Relation Extraction aims to predict the relation between target entities
located in different documents. In this regard, the dominant models commonly retain useful …
located in different documents. In this regard, the dominant models commonly retain useful …