Chuanqi Tan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
15
Active years
2014–2024
Best venue rank
A*
Where they publish
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACL | MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. | Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou |
| 2024 | ICLR | #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. | Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou |
| 2024 | NAACL | Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning. | Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao |
| 2024 | NAACL | Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation. | Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang |
| 2023 | ACL | Reasoning with Language Model Prompting: A Survey. | Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen |
| 2023 | ACL | XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding. | Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian |
| 2023 | ACL | HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation. | Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang |
| 2023 | ACL | Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. | Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang |
| 2023 | EMNLP | Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension. | Tingfeng Cao, Chengyu Wang, Chuanqi Tan, Jun Huang, Jinhui Zhu |
| 2023 | EMNLP | Knowledge Rumination for Pre-trained Language Models. | Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang |
| 2023 | IJCAI | One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. | Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen |
| 2022 | AAAI | Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract). | Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen |
| 2022 | ACL | Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding. | Zheng Yuan, Chuanqi Tan, Songfang Huang |
| 2022 | ACL | Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition. | Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang |
| 2022 | ACL | CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. | Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen |
| 2022 | COLING | LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting. | Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang |
| 2022 | EMNLP | Contrastive Demonstration Tuning for Pre-trained Language Models. | Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng, Zhenru Zhang, Chuanqi Tan, Huajun Chen |
| 2022 | EMNLP | Towards Unified Prompt Tuning for Few-shot Text Classification. | Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao |
| 2022 | EMNLP | SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. | Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao |
| 2022 | ICLR | Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners. | Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen |
| 2022 | IJCAI | Parameter-Efficient Sparsity for Large Language Models Fine-Tuning. | Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai |
| 2022 | NAACL | Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. | Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen |
| 2022 | WWW | KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. | Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen |
| 2022 | SIGIR | Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. | Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen |
| 2022 | SIGIR | Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. | Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen |
| 2021 | AAAI | Nested Named Entity Recognition with Partially-Observed TreeCRFs. | Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang |
| 2021 | AAAI | Contrastive Triple Extraction with Generative Transformer. | Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen |
| 2021 | EMNLP | Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. | Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang |
| 2021 | ICCV | Meta Gradient Adversarial Attack. | Zheng Yuan, Jie Zhang, Yunpei Jia, Chuanqi Tan, Tao Xue, Shiguang Shan |
| 2021 | ICLR | Probing BERT in Hyperbolic Spaces. | Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing |
| 2021 | IJCAI | Document-level Relation Extraction as Semantic Segmentation. | Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen |
| 2021 | NAACL | Noisy-Labeled NER with Confidence Estimation. | Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao |
| 2020 | AAAI | Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition. | Chuanqi Tan, Wei Qiu, Mosha Chen, Rui Wang, Fei Huang |
| 2020 | EMNLP | Predicting Clinical Trial Results by Implicit Evidence Integration. | Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang |
| 2019 | ICASSP | Attention-based Transfer Learning for Brain-computer Interface. | Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang, Wenchang Zhang |
| 2018 | AAAI | S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension. | Chuanqi Tan, Furu Wei, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou |
| 2018 | ICANN | A Survey on Deep Transfer Learning. | Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu |
| 2018 | ICASSP | Deep Transfer Learning for EEG-Based Brain Computer Interface. | Chuanqi Tan, Fuchun Sun, Wenchang Zhang |
| 2018 | IJCAI | Multiway Attention Networks for Modeling Sentence Pairs. | Chuanqi Tan, Furu Wei, Wenhui Wang, Weifeng Lv, Ming Zhou |
| 2018 | IJCNN | Adaptive Adversarial Transfer Learning for Electroencephalography Classification. | Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Tao Kong, Chao Yang, Xinyu Zhang |
| 2018 | IJCNN | Object Detection Based on Hierarchical Multi-view Proposal Network for Autonomous Driving. | Jianhui Zhao, Xinyu Newman Zhang, Hongbo Gao, Jialun Yin, Mo Zhou, Chuanqi Tan |
| 2018 | IJCNN | DHA: Lidar and Vision data Fusion-based On Road Object Classifier. | Jianhui Zhao, Xinyu Newman Zhang, Hongbo Gao, Mo Zhou, Chuanqi Tan, Chong Xue |
| 2017 | ACL | SuperAgent: A Customer Service Chatbot for E-commerce Websites. | Lei Cui, Shaohan Huang, Furu Wei, Chuanqi Tan, Chaoqun Duan, Ming Zhou |
| 2017 | EMNLP | Entity Linking for Queries by Searching Wikipedia Sentences. | Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, Ming Zhou |
| 2017 | ICONIP | Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography. | Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Jianhua Chen, Chunfang Liu |
| 2017 | SMC | A hybrid EEG-based BCI for robot grasp controlling. | Wenchang Zhang, Fuchun Sun, Chunfang Liu, Weihua Su, Chuanqi Tan, Shaobo Liu |
| 2016 | EMNLP | Solving and Generating Chinese Character Riddles. | Chuanqi Tan, Furu Wei, Li Dong, Weifeng Lv, Ming Zhou |
| 2014 | ACL | Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. | Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, Ming Zhou, Ke Xu |