Zhengwei Tao

Orcid: 0000-0003-2243-8778

According to our database1, Zhengwei Tao authored at least 45 papers between 2019 and 2026.

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Timeline

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Bibliography

2026
WizardEvent: Empowering Event Reasoning by Hybrid Event-Aware Data Synthesizing.
IEEE Trans. Knowl. Data Eng., February, 2026

BrowseComp-V<sup>3</sup>: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents.
CoRR, February, 2026

Exploring Information Seeking Agent Consolidation.
CoRR, February, 2026

RAGShaper: Eliciting Sophisticated Agentic RAG Skills via Automated Data Synthesis.
CoRR, January, 2026

DocDancer: Towards Agentic Document-Grounded Information Seeking.
CoRR, January, 2026

EvolSQL: Structure-Aware Evolution for Scalable Text-to-SQL Data Synthesis.
CoRR, January, 2026

Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding.
Proceedings of the ACM Web Conference 2026, 2026

2025
Nested Browser-Use Learning for Agentic Information Seeking.
CoRR, December, 2025

Tongyi DeepResearch Technical Report.
CoRR, October, 2025

AgentFold: Long-Horizon Web Agents with Proactive Context Management.
CoRR, October, 2025

ParallelMuse: Agentic Parallel Thinking for Deep Information Seeking.
CoRR, October, 2025

WebLeaper: Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking.
CoRR, October, 2025

Towards General Agentic Intelligence via Environment Scaling.
CoRR, September, 2025

Scaling Agents via Continual Pre-training.
CoRR, September, 2025

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization.
CoRR, July, 2025

WebSailor: Navigating Super-human Reasoning for Web Agent.
CoRR, July, 2025

Multi-View Riemannian Manifolds Fusion Enhancement for Knowledge Graph Completion.
IEEE Trans. Knowl. Data Eng., May, 2025

Rethinking Regularization Methods for Knowledge Graph Completion.
CoRR, May, 2025

WebDancer: Towards Autonomous Information Seeking Agency.
CoRR, May, 2025

CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation.
CoRR, April, 2025

PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation.
CoRR, April, 2025

Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine.
CoRR, March, 2025

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding.
CoRR, March, 2025

Revisit Self-Debugging with Self-Generated Tests for Code Generation.
CoRR, January, 2025

AELC: Adaptive Entity Linking with LLM-Driven Contextualization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Benchmarking Long-Context Language Models on Long Code Understanding.
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.
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.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
LLMs are Also Effective Embedding Models: An In-depth Overview.
CoRR, 2024

Exploring LLM-based Data Annotation Strategies for Medical Dialogue Preference Alignment.
CoRR, 2024

A Comprehensive Evaluation on Event Reasoning of Large Language Models.
CoRR, 2024

A Survey on Self-Evolution of Large Language Models.
CoRR, 2024

MEEL: Multi-Modal Event Evolution Learning.
CoRR, 2024

MEEL: Multi-Modal Event Evolution Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

EVIT: Event-Oriented Instruction Tuning for Event Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model.
CoRR, 2023

EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models.
CoRR, 2023

PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning.
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.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SEAG: Structure-Aware Event Causality Generation.
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.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2019
Boosting Variational Generative Model via Condition Enhancing and Lexical-Editing.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation.
Proceedings of the 7th International Conference on Learning Representations, 2019


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