Weizhu Chen

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 194

Top Venues

CoRR

ICLR

ICML

ACL (1)

Publications

Yixiao Li, Yifan Yu, Chen Liang, Nikos Karampatziakis, Pengcheng He, Weizhu Chen, Tuo Zhao
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models. ICLR (2024)
Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen
Multi-LoRA Composition for Image Generation. CoRR (2024)
Liliang Ren, Yang Liu, Yadong Lu, Yelong Shen, Chen Liang, Weizhu Chen
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling. CoRR (2024)
Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR (2024)
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
Supervised Knowledge Makes Large Language Models Better In-context Learners. ICLR (2024)
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving. ICLR (2024)
Vlad Fomenko, Han Yu, Jongho Lee, Stanley Hsieh, Weizhu Chen
A Note on LoRA. CoRR (2024)
Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen
Automatic Instruction Evolving for Large Language Models. CoRR (2024)
Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen
Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena. CoRR (2024)
Yiming Huang, Xiao Liu, Yeyun Gong, Zhibin Gou, Yelong Shen, Nan Duan, Weizhu Chen
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning. CoRR (2024)
Yueqin Yin, Zhendong Wang, Yi Gu, Hai Huang, Weizhu Chen, Mingyuan Zhou
Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts. CoRR (2024)
Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. ICLR (2024)
Xinzhe Ni, Yeyun Gong, Zhibin Gou, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen
Exploring the Mystery of Influential Data for Mathematical Reasoning. CoRR (2024)
Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen
Competition-Level Problems are Effective LLM Evaluators. ACL (Findings) (2024)
Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun, Hany Hassan Awadalla, Weizhu Chen
SciAgent: Tool-augmented Language Models for Scientific Reasoning. CoRR (2024)
Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen
Rho-1: Not All Tokens Are What You Need. CoRR (2024)
Yueqin Yin, Zhendong Wang, Yujia Xie, Weizhu Chen, Mingyuan Zhou
Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model Alignment. CoRR (2024)
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing. ICLR (2024)
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. CoRR (2023)
Fengji Zhang, Bei Chen, Yue Zhang, Jacky Keung, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation. EMNLP (2023)
Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
Meet in the Middle: A New Pre-training Paradigm. CoRR (2023)
Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning. ICLR (2023)
Tong Wu, Zhihao Fan, Xiao Liu, Hai-Tao Zheng, Yeyun Gong, Yelong Shen, Jian Jiao, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. NeurIPS (2023)
Tong Wu, Zhihao Fan, Xiao Liu, Yeyun Gong, Yelong Shen, Jian Jiao, Hai-Tao Zheng, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. CoRR (2023)
Alexander Bukharin, Yixiao Li, Pengcheng He, Weizhu Chen, Tuo Zhao
Deep Reinforcement Learning from Hierarchical Weak Preference Feedback. CoRR (2023)
Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang (Atlas) Wang, Mingyuan Zhou
In-Context Learning Unlocked for Diffusion Models. NeurIPS (2023)
Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise. ICML (2023)
Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. ICML (2023)
Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou
Skill-Based Few-Shot Selection for In-Context Learning. EMNLP (2023)
Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation. ICML (2023)
Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen
HyperTuning: Toward Adapting Large Language Models without Back-propagation. ICML (2023)
Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang, Yu Cheng
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. ACL (1) (2023)
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. NeurIPS (2023)
Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. EMNLP (Findings) (2023)
Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
In-Context Learning Unlocked for Diffusion Models. CoRR (2023)
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving. CoRR (2023)
Pengcheng He, Jianfeng Gao, Weizhu Chen
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing. ICLR (2023)
Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. CoRR (2023)
Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou
Skill-Based Few-Shot Selection for In-Context Learning. CoRR (2023)
Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen
Making Language Models Better Reasoners with Step-Aware Verifier. ACL (1) (2023)
Liyuan Liu, Jianfeng Gao, Weizhu Chen
Sparse Backpropagation for MoE Training. CoRR (2023)
Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen
Language Models can be Logical Solvers. CoRR (2023)
Baolin Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback. CoRR (2023)
Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders. ICLR (2023)
Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. CoRR (2023)
Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao
Less is More: Task-aware Layer-wise Distillation for Language Model Compression. ICML (2023)
Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan
Code Execution with Pre-trained Language Models. CoRR (2023)
Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning. CoRR (2023)
Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen
Learning From Mistakes Makes LLM Better Reasoner. CoRR (2023)
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing. CoRR (2023)
Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation. CoRR (2023)
Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen
Competition-Level Problems are Effective LLM Evaluators. CoRR (2023)
Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan
Code Execution with Pre-trained Language Models. ACL (Findings) (2023)
Yixiao Li, Yifan Yu, Chen Liang, Pengcheng He, Nikos Karampatziakis, Weizhu Chen, Tuo Zhao
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models. CoRR (2023)
Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen
CodeT: Code Generation with Generated Tests. ICLR (2023)
Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. CoRR (2023)
Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
Meet in the Middle: A New Pre-training Paradigm. NeurIPS (2023)
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
Supervised Knowledge Makes Large Language Models Better In-context Learners. CoRR (2023)
Fengji Zhang, Bei Chen, Yue Zhang, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation. CoRR (2023)
Baizhou Huang, Shuai Lu, Weizhu Chen, Xiaojun Wan, Nan Duan
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency. CoRR (2023)
Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen
Joint Generator-Ranker Learning for Natural Language Generation. ACL (Findings) (2023)
Woojeong Jin, Subhabrata Mukherjee, Yu Cheng, Yelong Shen, Weizhu Chen, Ahmed Hassan Awadallah, Damien Jose, Xiang Ren
GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions. CoRR (2023)
Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Diffusion-GAN: Training GANs with Diffusion. ICLR (2023)
Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. CoRR (2023)
Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models. CoRR (2023)
Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models. ACL (1) (2022)
Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen
Adversarial Retriever-Ranker for Dense Text Retrieval. ICLR (2022)
Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou
CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation. CoRR (2022)
Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen
Reasoning Like Program Executors. EMNLP (2022)
Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. NAACL-HLT (2022)
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen
LoRA: Low-Rank Adaptation of Large Language Models. ICLR (2022)
Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan
CodeRetriever: Unimodal and Bimodal Contrastive Learning. CoRR (2022)
Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan
CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search. EMNLP (2022)
Biyang Guo, Yeyun Gong, Yelong Shen, Songqiao Han, Hailiang Huang, Nan Duan, Weizhu Chen
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation. CoRR (2022)
Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs. CoRR (2022)
Greg Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. CoRR (2022)
Dong Li, Yelong Shen, Ruoming Jin, Yi Mao, Kuan Wang, Weizhu Chen
Generation-Augmented Query Expansion For Code Retrieval. CoRR (2022)
Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
ALLSH: Active Learning Guided by Local Sensitivity and Hardness. NAACL-HLT (Findings) (2022)
Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Diffusion-GAN: Training GANs with Diffusion. CoRR (2022)
Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. CoRR (2022)
Jing Qian, Li Dong, Yelong Shen, Furu Wei, Weizhu Chen
Controllable Natural Language Generation with Contrastive Prefixes. ACL (Findings) (2022)
Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance. CoRR (2022)
Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan
Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation. EMNLP (Findings) (2022)
Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. ACL (1) (2022)
Xiaoze Jiang, Yaobo Liang, Weizhu Chen, Nan Duan
XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge. AAAI (2022)
Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
ALLSH: Active Learning Guided by Local Sensitivity and Hardness. CoRR (2022)
Zhuocheng Gong, Di He, Yelong Shen, Tie-Yan Liu, Weizhu Chen, Dongyan Zhao, Ji-Rong Wen, Rui Yan
Finding the Dominant Winning Ticket in Pre-Trained Language Models. ACL (Findings) (2022)
Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Truncated Diffusion Probabilistic Models. CoRR (2022)
Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance. ICML (2022)
Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen
Joint Generator-Ranker Learning for Natural Language Generation. CoRR (2022)
Simiao Zuo, Qingru Zhang, Chen Liang, Pengcheng He, Tuo Zhao, Weizhu Chen
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation. NAACL-HLT (2022)
Wei Chen, Yeyun Gong, Song Wang, Bolun Yao, Weizhen Qi, Zhongyu Wei, Xiaowu Hu, Bartuer Zhou, Yi Mao, Weizhu Chen, Biao Cheng, Nan Duan
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation. ACL (1) (2022)
Chen Liang, Pengcheng He, Yelong Shen, Weizhu Chen, Tuo Zhao
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing. CoRR (2022)
Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou
TAPEX: Table Pre-training via Learning a Neural SQL Executor. ICLR (2022)
Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen
CodeT: Code Generation with Generated Tests. CoRR (2022)
Simiao Zuo, Qingru Zhang, Chen Liang, Pengcheng He, Tuo Zhao, Weizhu Chen
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation. CoRR (2022)
Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models. CoRR (2022)
Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Weizhu Chen, Nan Duan
GENIE: Large Scale Pre-training for Text Generation with Diffusion Model. CoRR (2022)
Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan
Soft-Labeled Contrastive Pre-training for Function-level Code Representation. CoRR (2022)
Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen
HyperTuning: Toward Adapting Large Language Models without Back-propagation. CoRR (2022)

Weizhu Chen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Weizhu Chen