Damai Dai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
8
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Large Language Models Struggle with Unreasonability in Math Problems. | Jingyuan Ma, Damai Dai, Zihang Yuan, Rui Li, Weilin Luo, Bin Wang, Qun Liu, Lei Sha, Zhifang Sui |
| 2026 | ACL | Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models. | Xin Cheng, Wangding Zeng, Damai Dai, Qinyu Chen, Bingxuan Wang, Zhenda Xie, Kezhao Huang, Xingkai Yu, Zhewen Hao, Han Zhang, Yukun Li, Huishuai Zhang, Dongyan Zhao, Wenfeng Liang |
| 2025 | AAAI | Exploring Activation Patterns of Parameters in Language Models. | Yudong Wang, Damai Dai, Zhe Yang, Jingyuan Ma, Zhifang Sui |
| 2025 | ACL | Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention. | Jingyang Yuan, Huazuo Gao, Damai Dai, Junyu Luo, Liang Zhao, Zhengyan Zhang, Zhenda Xie, Yuxing Wei, Lean Wang, Zhiping Xiao, Yuqing Wang, Chong Ruan, Ming Zhang, Wenfeng Liang, Wangding Zeng |
| 2025 | COLING | Language Models Encode the Value of Numbers Linearly. | Fangwei Zhu, Damai Dai, Zhifang Sui |
| 2025 | ISCA | Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures. | Chenggang Zhao, Chengqi Deng, Chong Ruan, Damai Dai, Huazuo Gao, Jiashi Li, Liyue Zhang, Panpan Huang, Shangyan Zhou, Shirong Ma, Wenfeng Liang, Ying He, Yuqing Wang, Yuxuan Liu, Y. X. Wei |
| 2024 | ACL | DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models. | Damai Dai, Chengqi Deng, Chenggang Zhao, R. X. Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y. Wu, Zhenda Xie, Y. K. Li, Panpan Huang, Fuli Luo, Chong Ruan, Zhifang Sui, Wenfeng Liang |
| 2024 | ACL | Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. | Peiyi Wang, Lei Li, Zhihong Shao, Runxin Xu, Damai Dai, Yifei Li, Deli Chen, Yu Wu, Zhifang Sui |
| 2024 | EMNLP | A Survey on In-context Learning. | Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Lei Li, Zhifang Sui |
| 2024 | EMNLP | Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models. | Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Yu Wu |
| 2023 | ACL | Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. | Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Shuming Ma, Zhifang Sui, Furu Wei |
| 2023 | ACL | Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion. | Shaoxiang Wu, Damai Dai, Ziwei Qin, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui |
| 2023 | EMNLP | Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization. | Shoujie Tong, Heming Xia, Damai Dai, Runxin Xu, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui |
| 2023 | EMNLP | Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning. | Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun |
| 2023 | EMNLP | Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning. | Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui |
| 2022 | ACL | StableMoE: Stable Routing Strategy for Mixture of Experts. | Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei |
| 2022 | ACL | Knowledge Neurons in Pretrained Transformers. | Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Baobao Chang, Furu Wei |
| 2022 | ACL | Hierarchical Curriculum Learning for AMR Parsing. | Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui |
| 2022 | EMNLP | Calibrating Factual Knowledge in Pretrained Language Models. | Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li |
| 2022 | IJCAI | Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. | Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui |
| 2021 | CIKM | Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. | Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui |
| 2021 | EMNLP | Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation. | Hua Zheng, Lei Li, Damai Dai, Deli Chen, Tianyu Liu, Xu Sun, Yang Liu |
| 2021 | NAACL | Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. | Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu |
| 2019 | AAAI | LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts. | Shuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun |
| 2019 | ACL | Learning to Control the Fine-grained Sentiment for Story Ending Generation. | Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun |