Zhangyue Yin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
9
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method. | Zhiyuan Yu, Mingkai Lin, Wenzhong Li, Zhangyue Yin, Shijian Xiao, Sanglu Lu |
| 2026 | ACL | OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows. | Qiushi Sun, Mukai Li, Zhoumianze Liu, Zhihui Xie, Fangzhi Xu, Zhangyue Yin, Kanzhi Cheng, Zehao Li, Zichen Ding, Qi Liu, Zhiyong Wu, Zhuosheng Zhang, Ben Kao, Lingpeng Kong |
| 2026 | ACL | Efficient KL Divergence Estimation via Truncated Top-K Integration for Large Language Models. | Xinyuan Wang, Luozhijie Jin, Bo Wang, Yuan Li, Zhangyue Yin, Xipeng Qiu |
| 2026 | ACL | ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models. | Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, Zhiyuan Yu, Qipeng Guo, Xuanjing Huang, Xipeng Qiu |
| 2026 | ACL | Thermometer of Thoughts: Enhancing LLM's Exploration via Attention Temperature Modulation. | Zhiyuan Yu, Shijian Xiao, Cam-Tu Nguyen, Zhangyue Yin, Lekai Xing, Wenzhong Li, Sanglu Lu |
| 2025 | AAAI | Contextual Structure Knowledge Transfer for Graph Neural Networks. | Zhiyuan Yu, Wenzhong Li, Zhangyue Yin, Xiaobin Hong, Shijian Xiao, Sanglu Lu |
| 2025 | ACL | Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities? | Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu |
| 2025 | ACL | Dynamic and Generalizable Process Reward Modeling. | Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang |
| 2025 | ACL | Are LLMs Rational Investors? A Study on the Financial Bias in LLMs. | Yuhang Zhou, Yuchen Ni, Zhiheng Xi, Zhangyue Yin, Yu He, Gan Yunhui, Xiang Liu, Zhang Jian, Sen Liu, Xipeng Qiu, Yixin Cao, Guangnan Ye, Hongfeng Chai |
| 2025 | EMNLP | R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning. | Yuan Li, Qi Luo, Xiaonan Li, Bufan Li, Qinyuan Cheng, Bo Wang, Yining Zheng, Yuxin Wang, Zhangyue Yin, Xipeng Qiu |
| 2025 | EMNLP | VehicleWorld: A Highly Integrated Multi-Device Environment for Intelligent Vehicle Interaction. | Jie Yang, Jiajun Chen, Zhangyue Yin, Shuo Chen, Yuxin Wang, Yiran Guo, Yuan Li, Yining Zheng, Xuanjing Huang, Xipeng Qiu |
| 2025 | EMNLP | Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework. | Zhangyue Yin, Yuhong Sun, Xuanjing Huang, Xipeng Qiu, Hui Zhao |
| 2025 | ICCV | VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks. | Shiduo Zhang, Zhe Xu, Peiju Liu, Xiaopeng Yu, Yuan Li, Qinghui Gao, Zhaoye Fei, Zhangyue Yin, Zuxuan Wu, Yu-Gang Jiang, Xipeng Qiu |
| 2024 | ACL | Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance. | Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Junqi Dai, Qinyuan Cheng, Xuanjing Huang, Xipeng Qiu |
| 2024 | COLING | Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem. | Yuhong Sun, Zhangyue Yin, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Hui Zhao |
| 2024 | COLING | Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. | Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, Xuanjing Huang |
| 2024 | CVPR | Pixel-Level Semantic Correspondence Through Layout-Aware Representation Learning and Multi-Scale Matching Integration. | Yixuan Sun, Zhangyue Yin, Haibo Wang, Yan Wang, Xipeng Qiu, Weifeng Ge, Wenqiang Zhang |
| 2024 | EMNLP | Unified Active Retrieval for Retrieval Augmented Generation. | Qinyuan Cheng, Xiaonan Li, Shimin Li, Qin Zhu, Zhangyue Yin, Yunfan Shao, Linyang Li, Tianxiang Sun, Hang Yan, Xipeng Qiu |
| 2024 | EMNLP | Explicit Memory Learning with Expectation Maximization. | Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang |
| 2024 | EMNLP | Turn Waste into Worth: Rectifying Top-k Router of MoE. | Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu |
| 2024 | EMNLP | Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk. | Zhiyuan Zeng, Qipeng Guo, Xiaoran Liu, Zhangyue Yin, Wentao Shu, Mianqiu Huang, Bo Wang, Yunhua Zhou, Linlin Li, Qun Liu, Xipeng Qiu |
| 2024 | EMNLP | R³-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL. | Yuhang Zhou, Yu He, Siyu Tian, Yuchen Ni, Zhangyue Yin, Xiang Liu, Chuanjun Ji, Sen Liu, Xipeng Qiu, Guangnan Ye, Hongfeng Chai |
| 2024 | ICML | Can AI Assistants Know What They Don't Know? | Qinyuan Cheng, Tianxiang Sun, Xiangyang Liu, Wenwei Zhang, Zhangyue Yin, Shimin Li, Linyang Li, Zhengfu He, Kai Chen, Xipeng Qiu |
| 2024 | NAACL | LLatrieval: LLM-Verified Retrieval for Verifiable Generation. | Xiaonan Li, Changtai Zhu, Linyang Li, Zhangyue Yin, Tianxiang Sun, Xipeng Qiu |
| 2023 | ACL | Do Large Language Models Know What They Don't Know? | Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Xuanjing Huang |
| 2023 | ACML | Graph Structure Learning via Lottery Hypothesis at Scale. | Yuxin Wang, Xiannian Hu, Jiaqing Xie, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu, Xuanjing Huang |
| 2023 | CVPR | Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution. | Yixuan Sun, Dongyang Zhao, Zhangyue Yin, Yiwen Huang, Tao Gui, Wenqiang Zhang, Weifeng Ge |
| 2023 | EMNLP | Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication. | Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, Xipeng Qiu |
| 2022 | COLING | Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning. | Zhichao Geng, Ming Zhong, Zhangyue Yin, Xipeng Qiu, Xuanjing Huang |
| 2022 | ICML | What Dense Graph Do You Need for Self-Attention? | Yuxin Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu |