Jianzhu Bao

Orcid: 0009-0004-9818-8765

According to our database1, Jianzhu Bao authored at least 33 papers between 2020 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Online presence:

On csauthors.net:

Bibliography

2026
Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation.
CoRR, April, 2026

Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory.
CoRR, February, 2026

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents.
CoRR, February, 2026

Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

ArgGenBench: Benchmarking the Complex Controlled Argument Generation Capability of Large Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Multi-view Hierarchical Graph Neural Network for Argumentation Mining.
Cogn. Comput., February, 2025

Targeted Distillation for Sentiment Analysis.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Learning First-Order Logic Rules for Argumentation Mining.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Multi-persona Framework for Argument Quality Assessment.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Leveraging temporal dependency for cross-subject-MI BCIs by contrastive learning and self-attention.
Neural Networks, 2024

Distilling Fine-grained Sentiment Understanding from Large Language Models.
CoRR, 2024

Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks.
CoRR, 2024

Enhancing Argumentative Relation Classification by Multi-Granularity Retrieval and Heterogeneous Graph Reasoning.
Proceedings of the IEEE International Conference on Acoustics, 2024

BC-Prover: Backward Chaining Prover for Formal Theorem Proving.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PITA: Prompting Task Interaction for Argumentation Mining.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Discourse Structure-Aware Prefix for Generation-Based End-to-End Argumentation Mining.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Probing Graph Decomposition for Argument Pair Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

A Synthetic Data Generation Framework for Grounded Dialogues.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Probing Structural Knowledge from Pre-trained Language Model for Argumentation Relation Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

AEG: Argumentative Essay Generation via A Dual-Decoder Model with Content Planning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Indicator-Specific Recurrent Neural Networks with Co-teaching for Stock Trend Prediction.
Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2022, 2022

Have my arguments been replied to? Argument Pair Extraction as Machine Reading Comprehension.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
A Hierarchical Sequence Labeling Model for Argument Pair Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Target-based Sentiment Analysis in Finance with Domain Knowledge.
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

A Neural Transition-based Model for Argumentation Mining.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Emotion-Cause Pair Extraction as Sequence Labeling Based on A Novel Tagging Scheme.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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