Jin, Yaohui

19 publications

ICLR 2026 Rethinking Reasoning in Document Ranking: Why Chain-of-Thought Falls Short Xuan Lu, Haohang Huang, Rui Meng, Yaohui Jin, Wenjun Zeng, Xiaoyu Shen

ICLR 2026 Tools Are Under-Documented: Simple Document Expansion Boosts Tool Retrieval Xuan Lu, Haohang Huang, Rui Meng, Yaohui Jin, Wenjun Zeng, Xiaoyu Shen

ICCV 2025 Context Guided Transformer Entropy Modeling for Video Compression Junlong Tong, Wei Zhang, Yaohui Jin, Xiaoyu Shen

ICLR 2025 KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics Jindou Chen, Jidong Tian, Liang Wu, ChenXinWei, Xiaokang Yang, Yaohui Jin, Yanyan Xu

ICCV 2025 PASG: A Closed-Loop Framework for Automated Geometric Primitive Extraction and Semantic Anchoring in Robotic Manipulation Zhihao Zhu, Yifan Zheng, Siyu Pan, Yaohui Jin, Yao Mu

NeurIPS 2024 AgentBoard: An Analytical Evaluation Board of Multi-Turn LLM Agents Chang Ma, Junlei Zhang, Zhihao Zhu, Cheng Yang, Yujiu Yang, Yaohui Jin, Zhenzhong Lan, Lingpeng Kong, Junxian He

ICLRW 2024 AgentBoard: An Analytical Evaluation Board of Multi-Turn LLM Agents Chang Ma, Junlei Zhang, Zhihao Zhu, Cheng Yang, Yujiu Yang, Yaohui Jin, Zhenzhong Lan, Lingpeng Kong, Junxian He

AAAI 2024 Can Large Language Models Serve as Rational Players in Game Theory? a Systematic Analysis Caoyun Fan, Jindou Chen, Yaohui Jin, Hao He

AAAI 2023 Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry Jidong Tian, Wenqing Chen, Yitian Li, Caoyun Fan, Hao He, Yaohui Jin

AAAI 2023 Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation Wenqing Chen, Jidong Tian, Caoyun Fan, Yitian Li, Hao He, Yaohui Jin

AAAI 2022 Weakly Supervised Neural Symbolic Learning for Cognitive Tasks Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin

IJCAI 2021 Dependent Multi-Task Learning with Causal Intervention for Image Captioning Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin

AAAI 2021 Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian

AAAI 2020 Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin

IJCAI 2019 Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin

IJCAI 2019 TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin

IJCAI 2018 Generative Warfare Nets: Ensemble via Adversaries and Collaborators Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin

IJCAI 2018 Transformable Convolutional Neural Network for Text Classification Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin

IJCAI 2017 A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning Honglun Zhang, Liqiang Xiao, Yongkun Wang, Yaohui Jin