Taolin Zhang
29 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🐝 Cross-Pollinator (14) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (8)
🌍
Conference Polyglot
(9)
🌈
Renaissance Researcher
(8)
🤝
Dynamic Duo
(19)
🏆
Keyword Champion
(4)
💎
Century Club
(27)
⚡
Prolific Year
(12)
🗃️
Keyword Collector
(133)
🔥
Unstoppable
(5)
Conferences
ACL (9)
EMNLP (5)
AAAI (4)
COLING (3)
ECCV (2)
IJCNLP (2)
NIPS (2)
CVPR (1)
ICCV (1)
Top co-authors
Keywords
knowledge graph
(6)
large language model
(4)
knowledge-enhanced language model
(4)
knowledge editing
(4)
knowledge injection
(3)
pre-trained language model
(3)
contrastive learning
(3)
medical text mining
(2)
pretrained language model
(2)
multi-agent system
(2)
zero-shot learning
(2)
domain adaptation
(2)
language model
(2)
model editing
(2)
knowledge distillation
(2)
question answering
(2)
chain-of-thought reasoning
(2)
natural language inference
(2)
lifelong learning
(2)
vision language model
(2)
Papers
Taming "Zombie" Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution
ACL 2026
AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering
ACL 2026
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering
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
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement
ACL 2025
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit
AAAI 2025
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
NIPS 2024
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding
COLING 2024
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models
COLING 2024
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
NIPS 2024
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
AAAI 2024
CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem
AAAI 2024
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
ACL 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
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach
ECCV 2024
Multimodal Label Relevance Ranking via Reinforcement Learning
ECCV 2024
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
EMNLP 2024
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding
EMNLP 2023
From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models
EMNLP 2023
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction
ACL 2022
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing
EMNLP 2022
DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding
AAAI 2022
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training
EMNLP 2022
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
ACL 2021
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
IJCNLP 2021
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources
IJCNLP 2021