4 papers · 1 filter
Position Bias in Ordinal Classification: A Systematic Evaluation
Yu Wang, Jeffrey Zhou, Menglin Liu +1
Large language models are increasingly used for ordinal classification, yet semantically equivalent changes to prompt organization can alter their predictions. We conduct systemati…
Long Story Generation via Knowledge Graph and Literary Theory
Ge Shi, Kaiyu Huang, Guochen Feng
The generation of a long story consisting of several thousand words is a sub-task in the field of long text generation~(LTG). Previous research has addressed this challenge through…
Enhancing LLM-Based Text Classification in Political Science: Automatic Prompt Optimization and Dynamic Exemplar Selection for Few-Shot Learning
Menglin Liu, Ge Shi
Large language models (LLMs) offer substantial promise for text classification in political science, yet their effectiveness often depends on high-quality prompts and exemplars. To…
RAAMove: A Corpus for Analyzing Moves in Research Article Abstracts
Hongzheng Li, Ruojin Wang, Ge Shi +7
Move structures have been studied in English for Specific Purposes (ESP) and English for Academic Purposes (EAP) for decades. However, there are few move annotation corpora for Res…