APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning. - Jiashuo Sun; Hang Zhang 029; Chen Lin 001; Yeyun Gong; Jian Guo; Nan Duan (CoRR, 2022)

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph. - Jiashuo Sun; Chengjin Xu; Lumingyuan Tang; Saizhuo Wang; Chen Lin 001; Yeyun Gong; Heung-Yeung Shum; Jian Guo (CoRR, 2023)

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning. - Jiashuo Sun; Hang Zhang 029; Chen Lin 001; Xiangdong Su; Yeyun Gong; Jian Guo (LREC/COLING, 2024)

SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. - Jiashuo Sun; Jihai Zhang 002; Yucheng Zhou 001; Zhaochen Su; Xiaoye Qu; Yu Cheng 001 (EMNLP, 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 001; Yeyun Gong; Lionel M. Ni; Heung-Yeung Shum; Jian Guo (ICLR, 2024)

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. - Yi Luo; Zhenghao Lin; Yuhao Zhang; Jiashuo Sun; Chen Lin 001; Chengjin Xu; Xiangdong Su; Yelong Shen; Jian Guo; Yeyun Gong (NAACL-HLT, 2024)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models. - Jiashuo Sun; Yi Luo; Yeyun Gong; Chen Lin 001; Yelong Shen; Jian Guo; Nan Duan (NAACL-HLT (Findings), 2024)

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs. - Zhaochen Su; Jun Zhang; Xiaoye Qu; Tong Zhu 002; Yanshu Li; Jiashuo Sun; Juntao Li; Min Zhang 005; Yu Cheng 001 (NeurIPS, 2024)

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM. - Zhaochen Su; Jun Zhang; Xiaoye Qu; Tong Zhu 002; Yanshu Li; Jiashuo Sun; Juntao Li; Min Zhang 005; Yu Cheng 001 (CoRR, 2024)

Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning. - Xiaoye Qu; Jiashuo Sun; Wei Wei 002; Yu Cheng 001 (CoRR, 2024)

Finite-time quasi-synchronization of multi-layer heterogeneous networks with distributed hybrid control. - Jiashuo Sun; Linying Xiang (Neurocomputing, 2024)

Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning. - Xiaoye Qu; Jiashuo Sun; Wei Wei 002; Daizong Liu; Jianfeng Dong; Yu Cheng 001 (COLING, 2025)

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining. - Wenqi Zhang 001; Hang Zhang; Xin Li 056; Jiashuo Sun; Yongliang Shen 001; Weiming Lu 001; Deli Zhao; Yueting Zhuang; Lidong Bing (CoRR, 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 005; Shixuan Liu; Rui Li; Junyu Gao 001; Xuelong Li 001 (CoRR, 2025)

Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency. - Zhikai Wang; Jiashuo Sun; Wenqi Zhang 001; Zhiqiang Hu; Xin Li 056; Fan Wang 019; Deli Zhao (CoRR, 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 001 (CoRR, 2025)