Taolin Zhang
27 papers · 2021–2026 · 8 venues · across top CS/AI venues
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Natural Language Processing
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knowledge graph
(5)
large language model
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knowledge editing
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knowledge-enhanced language model
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vision-language model
(3)
pre-trained language model
(3)
contrastive learning
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knowledge injection
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multi-agent system
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retrieval-augmented generation
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chain-of-thought reasoning
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language model
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zero-shot learning
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model editing
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knowledge distillation
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lifelong learning
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domain adaptation
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attention mechanism
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hierarchical learning
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image generation
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Papers
AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering
ACL 2026
Taming "Zombie" Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution
ACL 2026
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit
AAAI 2025
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering
ACL 2025
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement
ACL 2025
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning
ICCV 2025
Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts
CVPR 2025
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
NeurIPS 2024
CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem
AAAI 2024
DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models
ACL 2024
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning
COLING 2024
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
EMNLP 2024
Multimodal Label Relevance Ranking via Reinforcement Learning
ECCV 2024
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
ACL 2024
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach
ECCV 2024
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
NeurIPS 2024
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models
COLING 2024
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding
COLING 2024
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
AAAI 2024
From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models
EMNLP 2023
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding
EMNLP 2023
DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding
AAAI 2022
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing
EMNLP 2022
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction
ACL 2022
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training
EMNLP 2022
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources
ACL 2021
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
ACL 2021