Baotian Hu

Orcid: 0000-0001-7490-684X

According to our database1, Baotian Hu authored at least 77 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
BioPRO: Context-Infused Prompt Learning for Biomedical Entity Linking.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Improving Attributed Text Generation of Large Language Models via Preference Learning.
CoRR, 2024

SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection.
CoRR, 2024

Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer.
CoRR, 2024

A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation.
CoRR, 2024

Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment.
CoRR, 2024

LLMs Meet Long Video: Advancing Long Video Comprehension with An Interactive Visual Adapter in LLMs.
CoRR, 2024

Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning to generate complex question with intent prediction from long passage.
Appl. Intell., March, 2023

Fast and Robust Online Handwritten Chinese Character Recognition With Deep Spatial and Contextual Information Fusion Network.
IEEE Trans. Multim., 2023

Fine-grained biomedical knowledge negation detection via contrastive learning.
Knowl. Based Syst., 2023

Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training.
CoRR, 2023

Towards Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs.
CoRR, 2023

Temporal Knowledge Question Answering via Abstract Reasoning Induction.
CoRR, 2023

Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration.
CoRR, 2023

A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering.
CoRR, 2023

A Survey of Large Language Models Attribution.
CoRR, 2023

Generative Multimodal Entity Linking.
CoRR, 2023

LMEye: An Interactive Perception Network for Large Language Models.
CoRR, 2023

Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Overview of NLPCC 2023 Shared Task 6: Chinese Few-Shot and Zero-Shot Entity Linking.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Enhancing Multi-modal Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

HITSZ TMG at ICASSP 2023 SPGC Shared Task: Leveraging Pre-Training and Distillation Method for Title Generation with Limited Resource.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Read-and-Select Framework for Zero-shot Entity Linking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Revisiting Sparse Retrieval for Few-shot Entity Linking.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improving Biomedical Entity Linking with Cross-Entity Interaction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation.
CoRR, 2022

Biomedical relation extraction via knowledge-enhanced reading comprehension.
BMC Bioinform., 2022

Enhancing Entity Linking with Contextualized Entity Embeddings.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Medical Dialogue Response Generation with Pivotal Information Recalling.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-Role Event Argument Extraction as Machine Reading Comprehension with Argument Match Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2022

An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Prompt-based Text Entailment for Low-Resource Named Entity Recognition.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
LCSegNet: An Efficient Semantic Segmentation Network for Large-Scale Complex Chinese Character Recognition.
IEEE Trans. Multim., 2021

Drug knowledge discovery via multi-task learning and pre-trained models.
BMC Medical Informatics Decis. Mak., 2021

Decomposing word embedding with the capsule network.
Knowl. Based Syst., 2021

Attentive capsule network for click-through rate and conversion rate prediction in online advertising.
Knowl. Based Syst., 2021

Neural data-to-text generation with dynamic content planning.
Knowl. Based Syst., 2021

Distantly supervised biomedical relation extraction using piecewise attentive convolutional neural network and reinforcement learning.
J. Am. Medical Informatics Assoc., 2021

Sentence-level Online Handwritten Chinese Character Recognition.
CoRR, 2021

GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph.
CoRR, 2021

You Can Do Better! If You Elaborate the Reason When Making Prediction.
CoRR, 2021

MSDF: A General Open-Domain Multi-skill Dialog Framework.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Enriching BERT With Knowledge Graph Embedding For Industry Classification.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

A Large-Scale Chinese Long-Text Extractive Summarization Corpus.
Proceedings of the IEEE International Conference on Acoustics, 2021

Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2020

Neural Data-to-Text Generation with Dynamic Content Planning.
CoRR, 2020

Neural Image Inpainting Guided with Descriptive Text.
CoRR, 2020

Text-Guided Neural Image Inpainting.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

AdaHGNN: Adaptive Hypergraph Neural Networks for Multi-Label Image Classification.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Learning to Generate Diverse Questions from Keywords.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

MedWriter: Knowledge-Aware Medical Text Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
A Neural Abstractive Summarization Model Guided with Topic Sentences.
Aust. J. Intell. Inf. Process. Syst., 2019

Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning.
Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019

2018
Recurrent convolutional neural network for answer selection in community question answering.
Neurocomputing, 2018

Sentence Simplification with Memory-Augmented Neural Networks.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning to Extract Coherent Summary via Deep Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016
A novel word embedding learning model using the dissociation between nouns and verbs.
Neurocomputing, 2016

Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition.
CoRR, 2016

2015
Context-Dependent Translation Selection Using Convolutional Neural Network.
CoRR, 2015

ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

An Auto-Encoder for Learning Conversation Representation Using LSTM.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

LCSTS: A Large Scale Chinese Short Text Summarization Dataset.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Context-Dependent Translation Selection Using Convolutional Neural Network.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
A Short Texts Matching Method Using Shallow Features and Deep Features.
Proceedings of the Natural Language Processing and Chinese Computing, 2014

Convolutional Neural Network Architectures for Matching Natural Language Sentences.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014


  Loading...