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Caishuang Huang

Variation Patterns of Functional Trait Moments Along Geographical Gradients and Their Environmental Determinants in the Subtropical Evergreen Broadleaved Forests
2021 · Caishuang Huang, Yue Xu, et al. · Frontiers in Plant Science · 24
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StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback
2024 · Shihan Dou, Yan Liu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 19
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Low functional redundancy revealed high vulnerability of the subtropical evergreen broadleaved forests to environmental change
2024 · Caishuang Huang, Yue Xu, et al. · The Science of The Total Environment · 10
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
2024 · Junjie Ye, Sixian Li, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 9
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RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
2024 · Junjie Ye, Yilong Wu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 9
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Environmental correlates of tree functional diversity with different leaf habits across subtropical evergreen broadleaved forests
2023 · Caishuang Huang, Yue Xu, et al. · Journal of Vegetation Science · 8
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Variations in Functional Richness and Assembly Mechanisms of the Subtropical Evergreen Broadleaved Forest Communities along Geographical and Environmental Gradients
2022 · Caishuang Huang, Yue Xu, et al. · Forests · 8
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EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models
2024 · Zhou, Weikang, Wang, Xiao, et al. · arXiv (Cornell University) · 7
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Secrets of RLHF in Large Language Models Part II: Reward Modeling
2024 · Wang, Binghai, Zheng, Rui, et al. · arXiv (Cornell University) · 7
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StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
2024 · Dou, Shihan, Liu, Yan, et al. · arXiv (Cornell University) · 5
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CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models
2024 · Lv, Huijie, Wang, Xiao, et al. · arXiv (Cornell University) · 4
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SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance
2024 · Huang, Caishuang, Zhao, Wanxu, et al. · arXiv (Cornell University) · 3
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ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
2024 · Ye, Junjie, Li, Guanyu, et al. · arXiv (Cornell University) · 3
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ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
2024 · Ye, Junjie, Li, Sixian, et al. · arXiv (Cornell University) · 2
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MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models
2026 · Junjie Ye, Caishuang Huang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
2024 · Ming Zhang, Caishuang Huang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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Seeing the Forest and the Trees: A Survey of Analytic Rubrics for Holistic Reward Modeling in LLMs
2026 · Mingqing Yuan, Xiaobo Liang, et al. · Preprints.org
Criterion-Activated Preference Synthesis: Attribution-Preserving Preference Data from Explicit Standards
2026 · Zian Wang, Pu Lu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training
2025 · Zhu, Dingwei, Xi, Zhiheng, et al. · arXiv (Cornell University)
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TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
2024 · Zhang, Ming, Huang, Caishuang, et al. · arXiv (Cornell University)
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Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition
2024 · Yang, Yuming, Zhao, Wantong, et al. · arXiv (Cornell University)
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MouSi: Poly-Visual-Expert Vision-Language Models
2024 · Fan, Xiaoran, Ji, Tao, et al. · arXiv (Cornell University)
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Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning
2024 · Lu Chen, Rui Zheng, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Works count: 24
Citation count: 120
H-index: 7
I10-index: 3
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