Lizhi Qing
8 papers · 2020–2025 · 5 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.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(23)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Natural Language Processing
(6)
Learning Types · Machine Learning
(6)
Artificial Intelligence
(5)
Applications
(4)
Resources & Methods
(4)
Application Areas
(3)
Core AI
(3)
Deep Learning
(2)
Learning Paradigms · Artificial Intelligence
(2)
Generation
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
large language model
(3)
domain adaptation
(3)
parameter-efficient fine-tuning
(2)
text representation
(2)
legal domain
(2)
multi-task learning
(2)
code generation
(1)
adversarial robustness
(1)
continual learning
(1)
data augmentation
(1)
natural language generation
(1)
information retrieval
(1)
pre-trained language model
(1)
preference alignment
(1)
knowledge graph
(1)
attention mechanism
(1)
alternating optimization
(1)
vocabulary expansion
(1)
unsupervised clustering
(1)
catastrophic forgetting
(1)
Papers
CoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval
EMNLP 2025
Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator
NAACL 2025
UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever
ACL 2025
Enhance Robustness of Language Models against Variation Attack through Graph Integration
COLING 2024
From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications
ACL 2024
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs
EMNLP 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs
EMNLP 2024
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features
AAAI 2020