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Kaiyue Wen
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2020 – today
- 2025
- [c11]Zihan Qiu, Zeyu Huang, Bo Zheng, Kaiyue Wen, Zekun Wang, Rui Men, Ivan Titov, Dayiheng Liu, Jingren Zhou, Junyang Lin:
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models. ACL (1) 2025: 5005-5018 - [c10]Shengguang Wu, Fan-Yun Sun, Kaiyue Wen, Nick Haber:
Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images. ACL (1) 2025: 30284-30297 - [c9]Kaiyue Wen, Zhiyuan Li, Jason S. Wang, David Leo Wright Hall, Percy Liang, Tengyu Ma:
Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape View. ICLR 2025 - [c8]Kaiyue Wen, Xingyu Dang, Kaifeng Lyu:
RNNs are not Transformers (Yet): The Key Bottleneck on In-Context Retrieval. ICLR 2025 - [c7]Kaiyue Wen, Huaqing Zhang, Hongzhou Lin, Jingzhao Zhang:
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency. ICLR 2025 - [i18]Zihan Qiu, Zeyu Huang, Bo Zheng, Kaiyue Wen, Zekun Wang, Rui Men, Ivan Titov, Dayiheng Liu, Jingren Zhou, Junyang Lin:
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models. CoRR abs/2501.11873 (2025) - [i17]Amirhesam Abedsoltan, Huaqing Zhang, Kaiyue Wen, Hongzhou Lin, Jingzhao Zhang, Mikhail Belkin:
Task Generalization With AutoRegressive Compositional Structure: Can Learning From D Tasks Generalize to DT Tasks? CoRR abs/2502.08991 (2025) - [i16]Shengguang Wu, Fan-Yun Sun, Kaiyue Wen, Nick Haber:
Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images. CoRR abs/2502.13928 (2025) - [i15]Jacob Mitchell Springer, Sachin Goyal, Kaiyue Wen, Tanishq Kumar, Xiang Yue, Sadhika Malladi, Graham Neubig, Aditi Raghunathan:
Overtrained Language Models Are Harder to Fine-Tune. CoRR abs/2503.19206 (2025) - [i14]Xingyu Dang, Christina Baek, Kaiyue Wen, Zico Kolter, Aditi Raghunathan:
Weight Ensembling Improves Reasoning in Language Models. CoRR abs/2504.10478 (2025) - [i13]Zihan Qiu, Zekun Wang, Bo Zheng, Zeyu Huang, Kaiyue Wen, Songlin Yang, Rui Men, Le Yu, Fei Huang, Suozhi Huang, Dayiheng Liu, Jingren Zhou, Junyang Lin:
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free. CoRR abs/2505.06708 (2025) - [i12]Songlin Yang, Yikang Shen, Kaiyue Wen, Shawn Tan, Mayank Mishra, Liliang Ren, Rameswar Panda, Yoon Kim:
PaTH Attention: Position Encoding via Accumulating Householder Transformations. CoRR abs/2505.16381 (2025) - [i11]Jiazheng Li, Hong Lu, Kaiyue Wen, Zaiwen Yang, Jiaxuan Gao, Hongzhou Lin, Yi Wu, Jingzhao Zhang:
QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation. CoRR abs/2507.13266 (2025) - 2024
- [i10]Kaiyue Wen, Xingyu Dang, Kaifeng Lyu:
RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval. CoRR abs/2402.18510 (2024) - [i9]Kaiyue Wen, Zhiyuan Li, Jason S. Wang, David Hall, Percy Liang, Tengyu Ma:
Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective. CoRR abs/2410.05192 (2024) - [i8]Kaiyue Wen, Huaqing Zhang, Hongzhou Lin, Jingzhao Zhang:
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency. CoRR abs/2410.05459 (2024) - 2023
- [c6]Kaiyue Wen, Tengyu Ma, Zhiyuan Li:
How Sharpness-Aware Minimization Minimizes Sharpness? ICLR 2023 - [c5]Kaiyue Wen, Jiaye Teng, Jingzhao Zhang:
Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models. ICLR 2023 - [c4]Kaiyue Wen, Zhiyuan Li, Tengyu Ma:
Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization. NeurIPS 2023 - [c3]Kaiyue Wen, Yuchen Li, Bingbin Liu, Andrej Risteski:
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars. NeurIPS 2023 - [i7]Haozhe Jiang, Kaiyue Wen, Yilei Chen:
Practically Solving LPN in High Noise Regimes Faster Using Neural Networks. CoRR abs/2303.07987 (2023) - [i6]Kaiyue Wen, Zhiyuan Li
, Tengyu Ma:
Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization. CoRR abs/2307.11007 (2023) - [i5]Kaiyue Wen, Yuchen Li, Bingbin Liu, Andrej Risteski:
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars. CoRR abs/2312.01429 (2023) - [i4]Haozhe Jiang, Kaiyue Wen, Yilei Chen:
Practically Solving LPN in High Noise Regimes Faster Using Neural Networks. IACR Cryptol. ePrint Arch. 2023: 372 (2023) - 2022
- [c2]Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, Lei Hou, Zhiyuan Liu, Juanzi Li:
Finding Skill Neurons in Pre-trained Transformer-based Language Models. EMNLP 2022: 11132-11152 - [c1]Yusheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan
, Yankai Lin, Huadong Wang, Kaiyue Wen, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou
, Maosong Sun, Jie Zhou:
On Transferability of Prompt Tuning for Natural Language Processing. NAACL-HLT 2022: 3949-3969 - [i3]Kaiyue Wen, Jiaye Teng, Jingzhao Zhang:
Realistic Deep Learning May Not Fit Benignly. CoRR abs/2206.00501 (2022) - [i2]Kaiyue Wen, Tengyu Ma, Zhiyuan Li:
How Does Sharpness-Aware Minimization Minimize Sharpness? CoRR abs/2211.05729 (2022) - [i1]Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, Lei Hou, Zhiyuan Liu, Juanzi Li:
Finding Skill Neurons in Pre-trained Transformer-based Language Models. CoRR abs/2211.07349 (2022)
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