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Kaiqiao Han
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2020 – today
- 2025
- [c4]Kaiqiao Han, Tianqing Fang, Zhaowei Wang, Yangqiu Song, Mark Steedman:
Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction. NAACL (Volume 2: Short Papers) 2025: 229-243 - [i8]Yihang Chen, Haikang Deng, Kaiqiao Han, Qingyue Zhao:
Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models. CoRR abs/2503.14521 (2025) - [i7]Haixin Wang, Ruoyan Li, Fred Xu, Fang Sun, Kaiqiao Han, Zijie Huang, Guancheng Wan, Ching Chang, Xiao Luo, Wei Wang, Yizhou Sun:
FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation. CoRR abs/2505.20349 (2025) - 2024
- [c3]Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Ying Guo, Yang Yang, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang:
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. BHI 2024: 1-8 - [c2]Taoran Fang, Wei Chow, Yifei Sun, Kaiqiao Han, Lvbin Ma, Yang Yang:
Exploring Correlations of Self-Supervised Tasks for Graphs. ICML 2024 - [c1]Xuanwen Huang
, Kaiqiao Han
Can GNN be Good Adapter for LLMs? WWW 2024: 893-904 - [i6]Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu:
Can GNN be Good Adapter for LLMs? CoRR abs/2402.12984 (2024) - [i5]Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang:
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. CoRR abs/2405.00077 (2024) - [i4]Taoran Fang, Wei Zhou, Yifei Sun, Kaiqiao Han, Lvbin Ma, Yang Yang:
Exploring Correlations of Self-Supervised Tasks for Graphs. CoRR abs/2405.04245 (2024) - [i3]Kaiqiao Han, Tianqing Fang, Zhaowei Wang, Yangqiu Song, Mark Steedman:
Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction. CoRR abs/2410.12040 (2024) - 2023
- [i2]Xuanwen Huang, Kaiqiao Han, Dezheng Bao, Quanjin Tao, Zhisheng Zhang, Yang Yang, Qi Zhu:
Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs. CoRR abs/2309.02848 (2023) - [i1]Ziwei Chai, Tianjie Zhang, Liang Wu, Kaiqiao Han, Xiaohai Hu, Xuanwen Huang, Yang Yang:
GraphLLM: Boosting Graph Reasoning Ability of Large Language Model. CoRR abs/2310.05845 (2023)
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