Jiashuo Sun

According to our database, Jiashuo Sun authored at least 30 papers between 2022 and 2026.

Collaborative distances:

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

2026

Let the Abyss Stare Back Adaptive Falsification for Autonomous Scientific Discovery.

Peiran Li, Fangzhou Lin, Shuo Xing, Jiashuo Sun, Dylan Zhang, Siyuan Yang, Chaoqun Ni, Zhengzhong Tu

CoRR, March, 2026

Learning to Predict Future-Aligned Research Proposals with Language Models.

Heng Wang, Pengcheng Jiang, Jiashuo Sun, Zhiyi Shi, Haofei Yu, Jiawei Han, Heng Ji

CoRR, March, 2026

TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented Generation.

Jiashuo Sun, Yixuan Xie, Jimeng Shi, Shaowen Wang, Jiawei Han

CoRR, March, 2026

Traversal-as-Policy: Log-Distilled Gated Behavior Trees as Externalized, Verifiable Policies for Safe, Robust, and Efficient Agents.

Peiran Li, Jiashuo Sun, Fangzhou Lin, Shuo Xing, Tianfu Fu, Suofei Feng, Chaoqun Ni, Zhengzhong Tu

CoRR, March, 2026

Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs.

Pengrui Han, Xueqiang Xu, Keyang Xuan, Peiyang Song, Siru Ouyang, Runchu Tian, Yuqing Jiang, Cheng Qian, Pengcheng Jiang, Jiashuo Sun, Junxia Cui, Ming Zhong, Ge Liu, Jiawei Han, Jiaxuan You

CoRR, February, 2026

Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented Generation.

Jiashuo Sun, Pengcheng Jiang, Saizhuo Wang, Jiajun Fan, Heng Wang, Siru Ouyang, Ming Zhong, Yizhu Jiao, Chengsong Huang, Xueqiang Xu, Pengrui Han, Peiran Li, Jiaxin Huang, Ge Liu, Heng Ji, Jiawei Han

CoRR, February, 2026

BibAgent: An Agentic Framework for Traceable Miscitation Detection in Scientific Literature.

Peiran Li, Fangzhou Lin, Shuo Xing, Xiang Zheng, Xi Hong, Siyuan Yang, Jiashuo Sun, Zhengzhong Tu, Chaoqun Ni

CoRR, January, 2026

Robust Joint Design for RIS-Assisted Integrated Over-the-Air Computation and NOMA Communication Systems With Imperfect CSI.

Jiashuo Sun, Changjie Hu, Quanzhong Li, Qi Zhang, Yi Lv

IEEE Wirel. Commun. Lett., 2026

2025

Joint Optimization for an Integrated Over-the-Air Computation and NOMA Communication System With MIMO Two-Way Relay Assistance.

Jiashuo Sun, Changjie Hu, Quanzhong Li, Qi Zhang, Yi Lv

IEEE Wirel. Commun. Lett., December, 2025

Adaptation of Agentic AI.

Pengcheng Jiang, Jiacheng Lin, Zhiyi Shi, Zifeng Wang, Luxi He, Yichen Wu, Ming Zhong, Peiyang Song, Qizheng Zhang, Heng Wang, Xueqiang Xu, Hanwen Xu, Pengrui Han, Dylan Zhang, Jiashuo Sun, Chaoqi Yang, Kun Qian, Tian Wang, Changran Hu, Manling Li, Quanzheng Li, Hao Peng, Sheng Wang, Jingbo Shang, Chao Zhang, Jiaxuan You, Liyuan Liu, Pan Lu, Yu Zhang, Heng Ji, Yejin Choi, Dawn Song, Jimeng Sun, Jiawei Han

CoRR, December, 2025

Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning.

Junlin Wu, Xianrui Zhong, Jiashuo Sun, Bolian Li, Bowen Jin, Jiawei Han, Qingkai Zeng

CoRR, October, 2025

GRACE: Generative Representation Learning via Contrastive Policy Optimization.

Jiashuo Sun, Shixuan Liu, Zhaochen Su, Xianrui Zhong, Pengcheng Jiang, Bowen Jin, Peiran Li, Weijia Shi, Jiawei Han

CoRR, October, 2025

Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation.

Xiaoye Qu, Qiyuan Chen, Wei Wei, Jiashuo Sun, Daizong Liu, Jianfeng Dong

ACM Trans. Multim. Comput. Commun. Appl., September, 2025

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation.

Jiashuo Sun, Xianrui Zhong, Sizhe Zhou, Jiawei Han

CoRR, May, 2025

Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency.

Zhikai Wang, Jiashuo Sun, Wenqi Zhang, Zhiqiang Hu, Xin Li, Fan Wang, Deli Zhao

CoRR, April, 2025

From Captions to Rewards (CaReVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models.

Muzhi Dai, Jiashuo Sun, Zhiyuan Zhao, Shixuan Liu, Rui Li, Junyu Gao, Xuelong Li

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining.

Wenqi Zhang, Hang Zhang, Xin Li, Jiashuo Sun, Yongliang Shen, Weiming Lu, Deli Zhao, Yueting Zhuang, Lidong Bing

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning.

Xiaoye Qu, Jiashuo Sun, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Finite-time quasi-synchronization of multi-layer heterogeneous networks with distributed hybrid control.

Jiashuo Sun, Linying Xiang

Neurocomputing, January, 2024

Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning.

Xiaoye Qu, Jiashuo Sun, Wei Wei, Yu Cheng

CoRR, 2024

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM.

Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng

CoRR, 2024

Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation.

Xiaoye Qu, Qiyuan Chen, Wei Wei, Jiashuo Sun, Jianfeng Dong

CoRR, 2024

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs.

Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models.

Jiashuo Sun, Yi Luo, Yeyun Gong, Chen Lin, Yelong Shen, Jian Guo, Nan Duan

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

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models.

Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph.

Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel M. Ni, Heung-Yeung Shum, Jian Guo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information.

Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning.

Jiashuo Sun, Hang Zhang, Chen Lin, Xiangdong Su, Yeyun Gong, Jian Guo

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph.

Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, Jian Guo

CoRR, 2023

2022

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning.

Jiashuo Sun, Hang Zhang, Chen Lin, Yeyun Gong, Jian Guo, Nan Duan

CoRR, 2022