Zihui Gu — accepted AI-conference papers

2024

DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation

Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu, Ju Fan

AAAI 2024technical

Instruction-following is particularly crucial for large language models (LLMs) to support diverse user requests. While existing work has made progress in aligning LLMs with human preferences, evaluating their capabilities on instruction-following remains a challenge due to complexity and diversity o…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2022

PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training

Zihui Gu, Ju Fan, Nan Tang, Preslav Nakov, Xiaoman Zhao, Xiaoyong Du

EMNLP 2022main

Fact verification has attracted a lot of attention recently, e.g., in journalism, marketing, and policymaking, as misinformation and dis- information can sway one’s opinion and affect one’s actions. While fact-checking is a hard task in general, in many cases, false statements can be easily debunked…

Cited by 43 Source ↗PDF ↗code ↗Scholar ↗