publications

2026

1. 

   MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning

   Yaorui Shi, Shugui Liu, Yu Yang, and 7 more authors

   arXiv preprint arXiv:2601.21468, 2026

   Abs arXiv PDF Code Website

   MemOCR is a multimodal memory agent that enhances long-horizon reasoning by adaptively compressing interaction histories into visual layouts, enabling efficient context utilization under tight budget constraints.

2. 

   LongCat-Flash-Thinking-2601 Technical Report

   Meituan LongCat Team, Anchun Gui, Bei Li, and 8 more authors

   arXiv preprint arXiv:2601.16725, 2026

   arXiv PDF

2025

1. 

   Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents

   Yaorui Shi, Yuxin Chen, Siyuan Wang, and 5 more authors

   In International Conference on Learning Representations (ICLR), 2025

   Abs arXiv PDF Code

   Large language models struggle with long-context question answering when relevant evidence is dispersed across millions of tokens. We propose ReMemR1, which incorporates memory retrieval capabilities into the memory update process, enabling agents to selectively revisit historical memories for non-linear reasoning.

2. 

   Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning

   Yaorui Shi, Sihang Li, Chang Wu, and 5 more authors

   In Advances in Neural Information Processing Systems (NeurIPS), 2025

   Abs arXiv PDF Code Website

   We introduce AutoRefine, a novel framework that enhances retrieval-augmented reasoning by integrating autonomous knowledge refinement into the reasoning process. AutoRefine dynamically refines retrieved documents to improve retrieval quality and reduce hallucination, enabling more reliable and contextually relevant reasoning.

3. 

   SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding

   Sihang Li, Jin Huang, Jiaxi Zhuang, and 7 more authors

   In International Conference on Learning Representations (ICLR), 2025

   Abs arXiv PDF Code Website

   We address challenges in using large language models for scientific document comprehension by proposing a hybrid strategy that integrates continual pre-training with supervised fine-tuning to infuse scientific knowledge while improving task-specific instruction-following abilities.

4. 

   NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation

   Zhiyuan Liu, Yanchen Luo, Han Huang, and 7 more authors

   2025

   arXiv PDF Code
5. Dual Graph Attention Networks for Multi-View Visual Manipulation Relationship Detection and Robotic Grasping

   Mengyuan Ding, Yaxin Liu, Yaorui Shi, and 2 more authors

   IEEE Transactions on Automation Science and Engineering, 2025

6. 

   Multimodal Language Modeling for High-Accuracy Single Cell Transcriptomics Analysis and Generation

   Yaorui Shi, Jiaqi Yang, Sihang Li, and 4 more authors

   2025

   arXiv PDF

7. 

   Reasoning-Enhanced Large Language Models for Molecular Property Prediction

   Jiaxi Zhuang, Yaorui Shi, Jue Hou, and 8 more authors

   2025

   arXiv PDF

2024

1. 

   ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining

   Zhiyuan Liu, Yaorui Shi, An Zhang, and 5 more authors

   In Findings of the Association for Computational Linguistics (ACL), 2024

   arXiv PDF Code

2. 

   Intelligent System for Automated Molecular Patent Infringement Assessment

   Yaorui Shi, Sihang Li, Taiyan Zhang, and 12 more authors

   2024

   arXiv PDF

2023

1. 

   ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction

   Yaorui Shi, An Zhang, Enzhi Zhang, and 2 more authors

   In Findings of the Association for Computational Linguistics (EMNLP), 2023

   arXiv PDF Code

2. 

   Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules

   Zhiyuan Liu, Yaorui Shi, An Zhang, and 4 more authors

   In Advances in Neural Information Processing Systems (NeurIPS), 2023

   arXiv PDF Code