Songyang Gao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
5
Active years
2022–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning. | Shihan Dou, Yan Liu, Enyu Zhou, Songyang Gao, Tianlong Li, Limao Xiong, Xin Zhao, Haoxiang Jia, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law. | Qiming Ge, Shuhao Xing, Songyang Gao, Yunhua Zhou, Yicheng Zou, Songyang Zhang, Zhi Chen, Hang Yan, Qi Zhang, Qipeng Guo, Kai Chen |
| 2025 | ACL | Are Your LLMs Capable of Stable Reasoning? | Junnan Liu, Hongwei Liu, Linchen Xiao, Ziyi Wang, Kuikun Liu, Songyang Gao, Wenwei Zhang, Songyang Zhang, Kai Chen |
| 2025 | ACL | AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments. | Zhiheng Xi, Yiwen Ding, Wenxiang Chen, Boyang Hong, Honglin Guo, Junzhe Wang, Xin Guo, Dingwen Yang, Chenyang Liao, Wei He, Songyang Gao, Lu Chen, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang |
| 2025 | COLING | ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. | Junjie Ye, Guanyu Li, Songyang Gao, Caishuang Huang, Yilong Wu, Sixian Li, Xiaoran Fan, Shihan Dou, Tao Ji, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2025 | EMNLP | CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward. | Shudong Liu, Hongwei Liu, Junnan Liu, Linchen Xiao, Songyang Gao, Chengqi Lyu, Yuzhe Gu, Wenwei Zhang, Derek F. Wong, Songyang Zhang, Kai Chen |
| 2024 | ACL | LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin. | Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Wei Shen, Limao Xiong, Yuhao Zhou, Xiao Wang, Zhiheng Xi, Xiaoran Fan, Shiliang Pu, Jiang Zhu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ACL | Navigating the OverKill in Large Language Models. | Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin |
| 2024 | ACL | ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages. | Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | EMNLP | Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data. | Han Xia, Songyang Gao, Qiming Ge, Zhiheng Xi, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning. | Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | ICML | Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback. | Songyang Gao, Qiming Ge, Wei Shen, Shihan Dou, Junjie Ye, Xiao Wang, Rui Zheng, Yicheng Zou, Zhi Chen, Hang Yan, Qi Zhang, Dahua Lin |
| 2023 | ACL | DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization. | Songyang Gao, Shihan Dou, Yan Liu, Xiao Wang, Qi Zhang, Zhongyu Wei, Jin Ma, Ying Shan |
| 2023 | ACL | On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection. | Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan |
| 2023 | ACL | Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model. | Xiao Wang, Weikang Zhou, Qi Zhang, Jie Zhou, Songyang Gao, Junzhe Wang, Menghan Zhang, Xiang Gao, Yunwen Chen, Tao Gui |
| 2023 | EMNLP | Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement. | Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Jia Liu, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | EMNLP | RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms. | Enyu Zhou, Rui Zheng, Zhiheng Xi, Songyang Gao, Xiaoran Fan, Zichu Fei, Jingting Ye, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | COLING | Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective. | Shihan Dou, Rui Zheng, Ting Wu, Songyang Gao, Junjie Shan, Qi Zhang, Yueming Wu, Xuanjing Huang |
| 2022 | EMNLP | Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding. | Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang |