Shuchang Tao
Algorithm Engineer @ Alibaba Group Trustworthy LLM; LLM agent; Robustness
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About
Shuchang Tao works in AI engineering and ML & data science, based in Beijing, China (Tongyi Lab, Alibaba Group). Algorithm Engineer @ Alibaba Group Trustworthy LLM; LLM agent; Robustness. Public projects on GitHub include CONQORD (The repository for ACL 2024 paper "When to Trust LLMs: Aligning Confidence with Response Quality"), G-NIA (G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)) and AdvImmune (AdvImmune model from "Adversarial Immunization for Certifiable Robustness on Graphs" (WSDM 2021)), mostly written in Python and JavaScript.
Projects 5
- github.com
CONQORD
The repository for ACL 2024 paper "When to Trust LLMs: Aligning Confidence with Response Quality"
- github.com
G-NIA
G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)
- github.com
AdvImmune
AdvImmune model from "Adversarial Immunization for Certifiable Robustness on Graphs" (WSDM 2021)
- github.com
TaoShuchang.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
- github.com
Adversarial-Attack-and-Defense-on-Graph
Paper list for graph adversarial attack and defense.