12 citations · 15 across the 5 of their papers we have counts for
5 papers
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation
Zihao Tang, Zheqi Lv, Shengyu Zhang +4
Due to privacy or patent concerns, a growing number of large models are released without granting access to their training data, making transferring their knowledge inefficient and…
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation
Zihao Tang, Zheqi Lv, Shengyu Zhang +2
The rapid advancement of Large Language Models (LLMs) has revolutionized various sectors by automating routine tasks, marking a step toward the realization of Artificial General In…
Sentiment Analysis through LLM Negotiations
Xiaofei Sun, Xiaoya Li, Shengyu Zhang +5
A standard paradigm for sentiment analysis is to rely on a singular LLM and makes the decision in a single round under the framework of in-context learning. This framework suffers…
Learning Large-scale Network Embedding from Representative Subgraph
Junsheng Kong, Weizhao Li, Ben Liao +6
We study the problem of large-scale network embedding, which aims to learn low-dimensional latent representations for network mining applications. Recent research in the field of n…
On the Complexity of Trial and Error
Xiaohui Bei, Ning Chen, Shengyu Zhang
Motivated by certain applications from physics, biochemistry, economics, and computer science, in which the objects under investigation are not accessible because of various limita…