Shumin Deng
50 papers · 2018–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Venues
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Research topics
Artificial Intelligence
(33)
Natural Language Processing
(29)
Core AI
(29)
Machine Learning
(24)
Deep Learning
(20)
Resources & Methods
(16)
Learning Types Β· Machine Learning
(13)
Applications
(10)
Learning Types Β· Deep Learning
(10)
Architectures
(8)
Core Methods
(8)
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Application Areas
(4)
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(4)
Keywords
large language model
(13)
knowledge editing
(7)
few-shot learning
(4)
relation extraction
(4)
knowledge graph
(3)
language model
(3)
event detection
(3)
event extraction
(3)
information extraction
(3)
knowledge graph embedding
(3)
contrastive learning
(3)
text classification
(2)
multimodal large language model
(2)
machine unlearning
(2)
model safety
(2)
prompt learning
(2)
knowledge transfer
(2)
named entity recognition
(2)
transfer learning
(2)
model merging
(2)
Papers
How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
ACL 2026
Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency
ACL 2026
KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks
AAAI 2026
StructMem: Structured Memory for Long-Horizon Behavior in LLMs
ACL 2026
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
ACL 2026
Automating Steering for Safe Multimodal Large Language Models
EMNLP 2025
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms
ACL 2025
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
EMNLP 2025
DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation
COLING 2025
Exploring Model Kinship for Merging Large Language Models
EMNLP 2025
FlipAttack: Jailbreak LLMs via Flipping
ICML 2025
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
ACL 2025
KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
NAACL 2025
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
ICLR 2025
ReLearn: Unlearning via Learning for Large Language Models
ACL 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging.
SemEval 2025
Agent Planning with World Knowledge Model
NeurIPS 2024
Detoxifying Large Language Models via Knowledge Editing
ACL 2024
Editing Conceptual Knowledge for Large Language Models
EMNLP 2024
Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
ACL 2024
Knowledge Circuits in Pretrained Transformers
NeurIPS 2024
Knowledge Editing for Large Language Models
COLING 2024
Knowledge Mechanisms in Large Language Models: A Survey and Perspective
EMNLP 2024
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
ACL 2024
When Do Program-of-Thought Works for Reasoning?
AAAI 2024
Editing Large Language Models
IJCNLP 2023
Editing Large Language Models: Problems, Methods, and Opportunities
EMNLP 2023
From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal
ICCV 2023
Multimodal Analogical Reasoning over Knowledge Graphs
ICLR 2023
Reasoning with Language Model Prompting: A Survey
ACL 2023
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres
ACL 2023
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
NeurIPS 2022
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
ICLR 2022
Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction
NAACL 2022
Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract)
AAAI 2022
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting
COLING 2022
Molecular Contrastive Learning with Chemical Element Knowledge Graph
AAAI 2022
OntoProtein: Protein Pretraining With Gene Ontology Embedding
ICLR 2022
Contrastive Triple Extraction with Generative Transformer
AAAI 2021
Document-level Relation Extraction as Semantic Segmentation
IJCAI 2021
Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining
IJCAI 2021
MLBiNet: A Cross-Sentence Collective Event Detection Network
ACL 2021
OntoED: Low-resource Event Detection with Ontology Embedding
ACL 2021
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning
SemEval 2021
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction
COLING 2020
OpenUE: An Open Toolkit of Universal Extraction from Text
EMNLP 2020
Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention
EMNLP 2020
When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract)
AAAI 2020
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
NAACL 2019
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction
EMNLP 2018