Chuanqi Tan

Orcid: 0000-0003-1197-4807

According to our database1, Chuanqi Tan authored at least 94 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Sequence Labeling as Non-Autoregressive Dual-Query Set Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Biomedical Question Answering: A Survey of Approaches and Challenges.
ACM Comput. Surv., 2023

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization.
CoRR, 2023

Qwen Technical Report.
CoRR, 2023

Boosting In-Context Learning with Factual Knowledge.
CoRR, 2023

Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.
CoRR, 2023

VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning.
CoRR, 2023

RRHF: Rank Responses to Align Language Models with Human Feedback without tears.
CoRR, 2023

How well do Large Language Models perform in Arithmetic tasks?
CoRR, 2023

RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training.
CoRR, 2023

Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling.
CoRR, 2023

RRHF: Rank Responses to Align Language Models with Human Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Knowledge Rumination for Pre-trained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Reasoning with Language Model Prompting: A Survey.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Low-resource extraction with knowledge-aware pairwise prototype learning.
Knowl. Based Syst., 2022

SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers.
CoRR, 2022

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.
CoRR, 2022

Contrastive Demonstration Tuning for Pre-trained Language Models.
CoRR, 2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.
CoRR, 2022

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners.
Proceedings of the Tenth International Conference on Learning Representations, 2022

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Unified Prompt Tuning for Few-shot Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Contrastive Demonstration Tuning for Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Cross-Modal Knowledge Adaptation for Language-Based Person Search.
IEEE Trans. Image Process., 2021

Contrastive Information Extraction With Generative Transformer.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Learning to Ask for Data-Efficient Event Argument Extraction.
CoRR, 2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.
CoRR, 2021

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction.
CoRR, 2021

Biomedical Question Answering: A Comprehensive Review.
CoRR, 2021

Alibaba DAMO Academy at TREC Clinical Trials 2021: ExploringEmbedding-based First-stage Retrieval with TrialMatcher.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

Noisy-Labeled NER with Confidence Estimation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction.
Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

Document-level Relation Extraction as Semantic Segmentation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Probing BERT in Hyperbolic Spaces.
Proceedings of the 9th International Conference on Learning Representations, 2021

Meta Gradient Adversarial Attack.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Biomedical Pretrained Language Models with Knowledge.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

Contrastive Triple Extraction with Generative Transformer.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Nested Named Entity Recognition with Partially-Observed TreeCRFs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization.
IEEE Trans. Circuits Syst. Video Technol., 2020

Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Latent Template Induction with Gumbel-CRFs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Overview of Monocular Depth Estimation Based on Deep Learning.
Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

Predicting Clinical Trial Results by Implicit Evidence Integration.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Feature Pyramid Reconfiguration With Consistent Loss for Object Detection.
IEEE Trans. Image Process., 2019

LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition.
IEEE Trans. Fuzzy Syst., 2019

Fused Fuzzy Petri Nets: A Shared Control Method for Brain-Computer Interface Systems.
IEEE Trans. Cogn. Dev. Syst., 2019

A glove-based system for object recognition via visual-tactile fusion.
Sci. China Inf. Sci., 2019

Neural Melody Composition from Lyrics.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Attention-based Transfer Learning for Brain-computer Interface.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Context-Aware Answer Sentence Selection With Hierarchical Gated Recurrent Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

I Know There Is No Answer: Modeling Answer Validation for Machine Reading Comprehension.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

DHA: Lidar and Vision data Fusion-based On Road Object Classifier.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Object Detection Based on Hierarchical Multi-view Proposal Network for Autonomous Driving.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Adaptive Adversarial Transfer Learning for Electroencephalography Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multiway Attention Networks for Modeling Sentence Pairs.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Transfer Learning for EEG-Based Brain Computer Interface.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Survey on Deep Transfer Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Electroencephalography Classification in Brain-Computer Interface with Manifold Constraints Transfer.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension.
CoRR, 2017

A hybrid EEG-based BCI for robot grasp controlling.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Neural Question Generation from Text: A Preliminary Study.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Entity Linking for Queries by Searching Wikipedia Sentences.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Spatial and spectral features fusion for EEG classification during motor imagery in BCI.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

SuperAgent: A Customer Service Chatbot for E-commerce Websites.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Low-Rank Linear Dynamical Systems for Motor Imagery EEG.
Comput. Intell. Neurosci., 2016

Linear Dynamical Systems Modeling for EEG-Based Motor Imagery Brain-Computer Interface.
Proceedings of the Cognitive Systems and Signal Processing, 2016

Solving and Generating Chinese Character Riddles.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2014
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014


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