Zhengwei Tao

Orcid: 0000-0003-4025-6003

According to our database¹, Zhengwei Tao authored at least 30 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization.

[BibT_eX]

[DOI]

CoRR, July, 2025

WebSailor: Navigating Super-human Reasoning for Web Agent.

[BibT_eX]

[DOI]

CoRR, July, 2025

Multi-View Riemannian Manifolds Fusion Enhancement for Knowledge Graph Completion.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2025

Rethinking Regularization Methods for Knowledge Graph Completion.

[BibT_eX]

[DOI]

CoRR, May, 2025

WebDancer: Towards Autonomous Information Seeking Agency.

[BibT_eX]

[DOI]

CoRR, May, 2025

CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation.

[BibT_eX]

[DOI]

CoRR, April, 2025

PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation.

[BibT_eX]

[DOI]

CoRR, April, 2025

Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine.

[BibT_eX]

[DOI]

CoRR, March, 2025

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding.

[BibT_eX]

[DOI]

CoRR, March, 2025

Revisit Self-Debugging with Self-Generated Tests for Code Generation.

[BibT_eX]

[DOI]

CoRR, January, 2025

Benchmarking Long-Context Language Models on Long Code Understanding.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Revisit Self-Debugging with Self-Generated Tests for Code Generation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Comprehensive Evaluation on Event Reasoning of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

LLMs are Also Effective Embedding Models: An In-depth Overview.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring LLM-based Data Annotation Strategies for Medical Dialogue Preference Alignment.

[BibT_eX]

[DOI]

CoRR, 2024

A Comprehensive Evaluation on Event Reasoning of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Self-Evolution of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

MEEL: Multi-Modal Event Evolution Learning.

[BibT_eX]

[DOI]

CoRR, 2024

MEEL: Multi-Modal Event Evolution Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

EVIT: Event-Oriented Instruction Tuning for Event Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2023

EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SEAG: Structure-Aware Event Causality Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2019

Boosting Variational Generative Model via Condition Enhancing and Lexical-Editing.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Zhengwei Tao

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