Fei Tan

51 papers A* 10A 1Journal 26Unranked 14
YearRankTypeTitle / Venue / Authors
2026 A* conf
MathSmith: Towards Extremely Hard Mathematical Reasoning by Forging Synthetic Problems with a Reinforced Policy.
AAAI
Shaoxiong Zhan, Yanlin Lai, Ziyu Lu, Dahua Lin, Ziqing Yang, Fei Tan
2025 — conf
Consultant Decoding: Yet Another Synergistic Mechanism.
ACL (Findings)
Chuanghao Ding, Jiaping Wang, Ziqing Yang, Xiaoliang Wang, Dahua Lin, Nguyen Cam-Tu, Fei Tan
2025 J jnl
Consultant Decoding: Yet Another Synergistic Mechanism.
CoRR
Chuanghao Ding, Jiaping Wang, Ziqing Yang, Xiaoliang Wang, Dahua Lin, Cam-Tu Nguyen, Fei Tan
2025 J jnl
MathSmith: Towards Extremely Hard Mathematical Reasoning by Forging Synthetic Problems with a Reinforced Policy.
CoRR
Shaoxiong Zhan, Yanlin Lai, Ziyu Lu, Dahua Lin, Ziqing Yang, Fei Tan
2025 — conf
More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning.
EMNLP (Industry Track)
Yike Zhao, Simin Guo, Ziqing Yang, Shifan Han, Dahua Lin, Fei Tan
2025 J jnl
More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning.
CoRR
Yike Zhao, Simin Guo, Ziqing Yang, Shifan Han, Dahua Lin, Fei Tan
2025 A* conf
ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning.
EMNLP
Yiming Du, Yifan Xiang, Bin Liang, Dahua Lin, Kam-Fai Wong, Fei Tan
2025 J jnl
ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning.
CoRR
Yiming Du, Yifan Xiang, Bin Liang, Dahua Lin, Kam-Fai Wong, Fei Tan
2025 — conf
daDPO: Distribution-Aware DPO for Distilling Conversational Abilities.
ACL (Findings)
Zhengze Zhang, Shiqi Wang, Yiqun Shen, Simin Guo, Dahua Lin, Xiaoliang Wang, Cam-Tu Nguyen, Fei Tan
2025 J jnl
daDPO: Distribution-Aware DPO for Distilling Conversational Abilities.
CoRR
Zhengze Zhang, Shiqi Wang, Yiqun Shen, Simin Guo, Dahua Lin, Xiaoliang Wang, Cam-Tu Nguyen, Fei Tan
2024 — conf
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model.
ACL (Findings)
Hengyuan Zhang, Yanru Wu, Dawei Li, Sak Yang, Rui Zhao, Yong Jiang, Fei Tan
2024 J jnl
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model.
CoRR
Hengyuan Zhang, Yanru Wu, Dawei Li, Zacc Yang, Rui Zhao, Yong Jiang, Fei Tan
2024 A* conf
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models.
EMNLP
Jiawei Gu, Zacc Yang, Chuanghao Ding, Rui Zhao, Fei Tan
2024 J jnl
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models.
CoRR
Jiawei Gu, Zacc Yang, Chuanghao Ding, Rui Zhao, Fei Tan
2024 J jnl
Offline RLHF Methods Need More Accurate Supervision Signals.
CoRR
Shiqi Wang, Zhengze Zhang, Rui Zhao, Fei Tan, Cam-Tu Nguyen
2024 — conf
Reward Difference Optimization For Sample Reweighting In Offline RLHF.
EMNLP (Findings)
Shiqi Wang, Zhengze Zhang, Rui Zhao, Fei Tan, Cam-Tu Nguyen
2024 — conf
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning.
LREC/COLING
Dongsheng Zhu, Zhenyu Mao, Jinghui Lu, Rui Zhao, Fei Tan
2024 J jnl
SimCT: A Simple Consistency Test Protocol in LLMs Development Lifecycle.
CoRR
Fufangchen Zhao, Guoqiang Jin, Rui Zhao, Jiangheng Huang, Fei Tan
2024 J jnl
SynthDoc: Bilingual Documents Synthesis for Visual Document Understanding.
CoRR
Chuanghao Ding, Xuejing Liu, Wei Tang, Juan Li, Xiaoliang Wang, Rui Zhao, Cam-Tu Nguyen, Fei Tan
2024 J jnl
What Makes Good Few-shot Examples for Vision-Language Models?
CoRR
Zhaojun Guo, Jinghui Lu, Xuejing Liu, Rui Zhao, Zhenxing Qian, Fei Tan
2023 — conf
CWSeg: An Efficient and General Approach to Chinese Word Segmentation.
ACL (industry)
Dedong Li, Rui Zhao, Fei Tan
2023 — conf
Deeply Coupled Cross-Modal Prompt Learning.
ACL (Findings)
Xuejing Liu, Wei Tang, Jinghui Lu, Rui Zhao, Zhaojun Guo, Fei Tan
2023 J jnl
Deeply Coupled Cross-Modal Prompt Learning.
CoRR
Xuejing Liu, Wei Tang, Jinghui Lu, Rui Zhao, Zhaojun Guo, Fei Tan
2023 J jnl
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation.
IEEE Trans. Neural Networks Learn. Syst.
Fei Tan, Changwei Hu, Yifan Hu, Kevin Yen, Zhi Wei, Aasish Pappu, Serim Park, Keqian Li
2023 A* conf
PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets.
AAAI
Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan
2023 J jnl
What Large Language Models Bring to Text-rich VQA?
CoRR
Xuejing Liu, Wei Tang, Xinzhe Ni, Jinghui Lu, Rui Zhao, Zechao Li, Fei Tan
2023 — conf
What Makes Pre-trained Language Models Better Zero-shot Learners?
ACL (1)
Jinghui Lu, Dongsheng Zhu, Weidong Han, Rui Zhao, Brian Mac Namee, Fei Tan
2022 J jnl
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning.
CoRR
Keqian Li, Yifan Hu, Logan Palanisamy, Lisa Jones, Akshay Gupta, Jason Grigsby, Ili Selinger, Matt Gillingham, Fei Tan
2022 J jnl
PUnifiedNER: a Prompting-based Unified NER System for Diverse Datasets.
CoRR
Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan
2022 J jnl
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning.
CoRR
Zhenyu Mao, Dongsheng Zhu, Jinghui Lu, Rui Zhao, Fei Tan
2022 J jnl
What Makes Pre-trained Language Models Better Zero/Few-shot Learners?
CoRR
Jinghui Lu, Rui Zhao, Brian Mac Namee, Dongsheng Zhu, Weidong Han, Fei Tan
2021 — conf
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation.
EMNLP (1)
Fei Tan, Yifan Hu, Kevin Yen, Changwei Hu
2021 J jnl
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation.
CoRR
Fei Tan, Yifan Hu, Kevin Yen, Changwei Hu
2021 — conf
Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop.
IEEE BigData
Keqian Li, Yifan Hu, Manisha Verma, Fei Tan, Changwei Hu, Tejaswi Kasturi, Kevin Yen
2020 A* conf
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature.
AAAI
Chaoran Cheng, Fei Tan, Zhi Wei
2020 J jnl
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature.
CoRR
Chaoran Cheng, Fei Tan, Zhi Wei
2020 J jnl
Elucidation of DNA methylation on N6-adenine with deep learning.
Nat. Mach. Intell.
Fei Tan, Tian Tian, Xiurui Hou, Xiang Yu, Lei Gu, Fernanda Mafra, Brian D. Gregory, Zhi Wei, Hakon Hakonarson
2020 — conf
HABERTOR: An Efficient and Effective Deep Hatespeech Detector.
EMNLP (1)
Thanh Tran, Yifan Hu, Changwei Hu, Kevin Yen, Fei Tan, Kyumin Lee, Se Rim Park
2020 J jnl
HABERTOR: An Efficient and Effective Deep Hatespeech Detector.
CoRR
Thanh Tran, Yifan Hu, Changwei Hu, Kevin Yen, Fei Tan, Kyumin Lee, Serim Park
2020 — conf
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.
EMNLP (1)
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020 J jnl
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.
CoRR
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020 — conf
TNT: Text Normalization based Pre-training of Transformers for Content Moderation.
EMNLP (1)
Fei Tan, Yifan Hu, Changwei Hu, Keqian Li, Kevin Yen
2019 J jnl
A Deep Learning Approach to Competing Risks Representation in Peer-to-Peer Lending.
IEEE Trans. Neural Networks Learn. Syst.
Fei Tan, Xiurui Hou, Jie Zhang, Zhi Wei, Zhenyu Yan
2019 J jnl
Modeling and elucidation of housing price.
Data Min. Knowl. Discov.
Fei Tan, Chaoran Cheng, Zhi Wei
2019 A* conf
Success Prediction on Crowdfunding with Multimodal Deep Learning.
IJCAI
Chaoran Cheng, Fei Tan, Xiurui Hou, Zhi Wei
2019 A* conf
User Response Driven Content Understanding with Causal Inference.
ICDM
Fei Tan, Zhi Wei, Abhishek Pani, Zhenyu Yan
2018 A* conf
A Blended Deep Learning Approach for Predicting User Intended Actions.
ICDM
Fei Tan, Zhi Wei, Jun He, Xiang Wu, Bo Peng, Haoran Liu, Zhenyu Yan
2018 J jnl
A Blended Deep Learning Approach for Predicting User Intended Actions.
CoRR
Fei Tan, Zhi Wei, Jun He, Xiang Wu, Bo Peng, Haoran Liu, Zhenyu Yan
2018 A conf
Modeling Item-specific Effects for Video Click.
SDM
Fei Tan, Kuang Du, Zhi Wei, Haoran Liu, Chenguang Qin, Ran Zhu
2017 A* conf
Time-Aware Latent Hierarchical Model for Predicting House Prices.
ICDM
Fei Tan, Chaoran Cheng, Zhi Wei
2016 A* conf
Modeling Real Estate for School District Identification.
ICDM
Fei Tan, Chaoran Cheng, Zhi Wei