Yanggan Gu

According to our database, Yanggan Gu authored at least 16 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Access Sets Matter: Budgeting Expert Reads for Scalable Weight-Space Model Merging.

Yuanyi Wang, Yanggan Gu, Su Lu, Yifan Yang, Zhaoyi Yan, Congkai Xie, Jianmin Wu, Hongxia Yang

CoRR, May, 2026

Not All Disagreement Is Learnable: Token Teachability in On-Policy Distillation.

Yuanyi Wang, Su Lu, Yanggan Gu, Pengkai Wang, Yifan Yang, Zhaoyi Yan, Congkai Xie, Jianmin Wu, Hongxia Yang

CoRR, May, 2026

E-PMQ: Expert-Guided Post-Merge Quantization with Merged-Weight Anchoring.

Wenjun Wang, Yanggan Gu, Shuo Cai, Yuanyi Wang, Pengkai Wang, Jianmin Wu, Hongxia Yang

CoRR, May, 2026

FeatCal: Feature Calibration for Post-Merging Models.

Yanggan Gu, Shuo Cai, Zihao Wang, Wenjun Wang, Yuanyi Wang, Pengkai Wang, Sirui Huang, Su Lu, Jianmin Wu, Hongxia Yang

CoRR, May, 2026

Geometry Conflict: Explaining and Controlling Forgetting in LLM Continual Post-Training.

Yuanyi Wang, Yifan Yang, Su Lu, Yanggan Gu, Pengkai Wang, Wenjun Wang, Zhaoyi Yan, Congkai Xie, Jianmin Wu, Jialun Cao, Shing-Chi Cheung, Hongxia Yang

CoRR, May, 2026

MergePipe: A Budget-Aware Parameter Management System for Scalable LLM Merging.

Yuanyi Wang, Yanggan Gu, Zihao Wang, Kunxi Li, Yifan Yang, Zhaoyi Yan, Congkai Xie, Jianmin Wu, Hongxia Yang

CoRR, February, 2026

2025

Model Merging Scaling Laws in Large Language Models.

Yuanyi Wang, Yanggan Gu, Yiming Zhang, Qi Zhou, Zhaoyi Yan, Congkai Xie, Xinyao Wang, Jianbo Yuan, Hongxia Yang

CoRR, September, 2025

InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models.

Yanggan Gu, Zhaoyi Yan, Yuanyi Wang, Yiming Zhang, Qi Zhou, Fei Wu, Hongxia Yang

CoRR, May, 2025

HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge.

Sirui Huang, Hanqian Li, Yanggan Gu, Xuming Hu, Qing Li, Guandong Xu

CoRR, February, 2025

<i>HyperG: </i> Hypergraph-Enhanced LLMs for Structured Knowledge.

Sirui Huang, Hanqian Li, Yanggan Gu, Xuming Hu, Qing Li, Guandong Xu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion.

Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Yanggan Gu, Fei Wu, Hongxia Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.

Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Jungang Li, Jingyu Wang, Peijie Jiang, Aiwei Liu, Jia Liu, Xuming Hu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models.

Sirui Huang, Yanggan Gu, Zhonghao Li, Xuming Hu, Qing Li, Guandong Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models.

Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li, Xuming Hu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.

Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Aiwei Liu, Xuming Hu

CoRR, 2024

Reasoning Factual Knowledge in Structured Data with Large Language Models.

Sirui Huang, Yanggan Gu, Xuming Hu, Zhonghao Li, Qing Li, Guandong Xu

CoRR, 2024