Tianyang Zhan — accepted AI-conference papers

2025

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

Xeron Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, King Zhu +89

NeurIPS 2025poster

Large language models (LLMs) have demonstrated remarkable proficiency in mainstream academic disciplines such as mathematics, physics, and computer science. However, human knowledge encompasses over 200 specialized disciplines, far exceeding the scope of existing benchmarks. The capabilities of LLMs…

Cited by 215 Source ↗Scholar ↗

2022

Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation

Zhuang Li, Lizhen Qu, Qiongkai Xu, Tongtong Wu, Tianyang Zhan, Gholamreza Haffari

EMNLP 2022main

In this paper, we propose a variational autoencoder with disentanglement priors, VAE-Dprior, for task-specific natural language generation with none or a handful of task-specific labeled examples. In order to tackle compositional generalization across tasks, our model performs disentangled represent…

Cited by 10 Source ↗PDF ↗code ↗Scholar ↗