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Yanggan Gu
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2020 – today
- 2025
[c4]Sirui Huang, Yanggan Gu, Zhonghao Li, Xuming Hu, Qing Li, Guandong Xu:
StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models. ACL (Findings) 2025: 7521-7552
[c3]Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li, Xuming Hu:
Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models. ACL (Findings) 2025: 15959-15973
[c2]Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Jungang Li, Jingyu Wang, Peijie Jiang, Aiwei Liu, Jia Liu, Xuming Hu:
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios. EMNLP 2025: 18132-18173
[c1]Sirui Huang
, Hanqian Li
, Yanggan Gu
, Xuming Hu
, Qing Li
, Guandong Xu
:
HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge. SIGIR 2025: 1218-1228
[i7]Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li, Xuming Hu:
Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models. CoRR abs/2502.14272 (2025)
[i6]Sirui Huang, Hanqian Li, Yanggan Gu, Xuming Hu, Qing Li, Guandong Xu:
HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge. CoRR abs/2502.18125 (2025)
[i5]Yanggan Gu, Zhaoyi Yan, Yuanyi Wang, Yiming Zhang, Qi Zhou, Fei Wu, Hongxia Yang:
InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models. CoRR abs/2505.13878 (2025)
[i4]Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Yanggan Gu, Fei Wu, Hongxia Yang:
InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion. CoRR abs/2505.13893 (2025)
[i3]Yuanyi Wang, Yanggan Gu, Yiming Zhang, Qi Zhou, Zhaoyi Yan, Congkai Xie, Xinyao Wang, Jianbo Yuan, Hongxia Yang:
Model Merging Scaling Laws in Large Language Models. CoRR abs/2509.24244 (2025)- 2024
[i2]Sirui Huang, Yanggan Gu, Xuming Hu, Zhonghao Li, Qing Li, Guandong Xu:
Reasoning Factual Knowledge in Structured Data with Large Language Models. CoRR abs/2408.12188 (2024)
[i1]Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Aiwei Liu, Xuming Hu:
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios. CoRR abs/2411.02708 (2024)
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