Jiahui Gao

According to our database, Jiahui Gao authored at least 32 papers between 2020 and 2026.

Collaborative distances:

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

2026

ToolSelf: Unifying Task Execution and Self-Reconfiguration via Tool-Driven Intrinsic Adaptation.

Jingqi Zhou, Sheng Wang, DeZhao Deng, Junwen Lu, Junwei Su, Qintong Li, Jiahui Gao, Hao Wu, Jiyue Jiang, Lingpeng Kong, Chuan Wu

CoRR, February, 2026

DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas.

Zirui Wu, Lin Zheng, Zhihui Xie, Jiacheng Ye, Jiahui Gao, Shansan Gong, Yansong Feng, Zhenguo Li, Wei Bi, Guorui Zhou, Lingpeng Kong

CoRR, February, 2026

2025

Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone.

Jiacheng Ye, Shansan Gong, Jiahui Gao, Junming Fan, Shuang Wu, Wei Bi, Haoli Bai, Lifeng Shang, Lingpeng Kong

CoRR, December, 2025

Dream-Coder 7B: An Open Diffusion Language Model for Code.

Zhihui Xie, Jiacheng Ye, Lin Zheng, Jiahui Gao, Jingwei Dong, Zirui Wu, Xueliang Zhao, Shansan Gong, Xin Jiang, Zhenguo Li, Lingpeng Kong

CoRR, September, 2025

Dream 7B: Diffusion Large Language Models.

Jiacheng Ye, Zhihui Xie, Lin Zheng, Jiahui Gao, Zirui Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong

CoRR, August, 2025

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning.

Sheng Wang, Pengan Chen, Jingqi Zhou, Qintong Li, Jingwei Dong, Jiahui Gao, Boyang Xue, Jiyue Jiang, Lingpeng Kong, Chuan Wu

CoRR, March, 2025

Implicit Search via Discrete Diffusion: A Study on Chess.

Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning.

Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration.

Qintong Li, Jiahui Gao, Sheng Wang, Renjie Pi, Xueliang Zhao, Chuan Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.

Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Jailbreaking as a Reward Misspecification Problem.

Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom.

Jingqi Zhou, Sheng Wang, Jingwei Dong, Kai Liu, Lei Li, Jiahui Gao, Jiyue Jiang, Lingpeng Kong, Chuan Wu

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

Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment.

Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing Exploration.

Qintong Li, Jiahui Gao, Sheng Wang, Renjie Pi, Xueliang Zhao, Chuan Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong

CoRR, 2024

ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom.

Jingqi Zhou, Sheng Wang, Jingwei Dong, Lei Li, Jiahui Gao, Lingpeng Kong, Chuan Wu

CoRR, 2024

CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration.

Jiahui Gao, Renjie Pi, Tianyang Han, Han Wu, Lanqing Hong, Lingpeng Kong, Xin Jiang, Zhenguo Li

CoRR, 2024

Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment.

Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok

CoRR, 2024

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models.

Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Zhenguo Li, Wei Bi, Lingpeng Kong

CoRR, 2024

Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models.

Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PerceptionGPT: Effectively Fusing Visual Perception Into LLM.

Renjie Pi, Lewei Yao, Jiahui Gao, Jipeng Zhang, Tong Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning to Edit: Aligning LLMs with Knowledge Editing.

Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios.

Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruifeng Xu, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning.

Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DetGPT: Detect What You Need via Reasoning.

Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

ZeroGen⁺: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning.

Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong

CoRR, 2022

Revisiting Over-smoothing in BERT from the Perspective of Graph.

Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok

Proceedings of the Tenth International Conference on Learning Representations, 2022

ZeroGen: Efficient Zero-shot Learning via Dataset Generation.

Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback.

Jiacheng Ye, Jiahui Gao, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

UNISON: Unpaired Cross-Lingual Image Captioning.

Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq R. Joty, Jiuxiang Gu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

AutoBERT-Zero: Evolving BERT Backbone from Scratch.

Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SparseBERT: Rethinking the Importance Analysis in Self-attention.

Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Unsupervised Cross-lingual Image Captioning.

Jiahui Gao, Yi Zhou, Philip L. H. Yu, Jiuxiang Gu

CoRR, 2020