3 citations · 3 across the 4 of their papers we have counts for
4 papers
Why Prompt Optimization Works, and Why It Sometimes Doesn't: A Causal-Inspired Edit-Level Analysis
Shuzhi Gong, Hechuan Wen
Automated prompt optimization methods (e.g., DSpy, TextGrad) can substantially improve the performance of large language model (LLM), however, their generalization ability across d…
Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi +3
Misinformation spreading over the Internet poses a significant threat to both societies and individuals, necessitating robust and scalable fact-checking that relies on retrieving a…
Unseen Fake News Detection Through Casual Debiasing
Shuzhi Gong, Richard Sinnott, Jianzhong Qi +1
The widespread dissemination of fake news on social media poses significant risks, necessitating timely and accurate detection. However, existing methods struggle with unseen news…
Fake News Detection Through Graph-based Neural Networks: A Survey
Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi +1
The popularity of online social networks has enabled rapid dissemination of information. People now can share and consume information much more rapidly than ever before. However, l…