Liangzhi Li
14 papers · 2020–2025 · 10 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
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πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
ποΈ
Keyword Collector
(76)
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Conference Pioneer
β
The Questioner
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Core AI
(9)
Deep Learning
(7)
Natural Language Processing
(7)
Applications
(5)
Architectures
(5)
Computer Vision
(4)
Core Methods
(4)
Learning Types
(4)
Resources & Methods
(4)
Application Areas
(3)
Optimization & Theory
(3)
Healthcare & Medicine
(2)
Analysis
(2)
Keywords
large language model
(5)
semantic segmentation
(2)
text classification
(2)
attention mechanism
(2)
image classification
(2)
prompt learning
(2)
explainable ai
(2)
benchmark evaluation
(1)
self-supervised learning
(1)
image segmentation
(1)
object detection
(1)
medical imaging
(1)
language model evaluation
(1)
fact verification
(1)
model calibration
(1)
multimodal learning
(1)
prompt engineering
(1)
in-context learning
(1)
multilingual nlp
(1)
domain adaptation
(1)
Papers
BlockPruner: Fine-grained Pruning for Large Language Models
ACL 2025
Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification
NAACL 2025
Unveiling Maternity and Infant Care Conversations: A Chinese Dialogue Dataset for Enhanced Parenting Support
IJCAI 2025
Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?
COLING 2024
Instruct Me More! Random Prompting for Visual In-Context Learning
WACV 2024
MHGRL: An Effective Representation Learning Model for Electronic Health Records
COLING 2024
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care
NeurIPS 2023
Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems
EMNLP 2023
Learning Bottleneck Concepts in Image Classification
CVPR 2023
MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension
EMNLP 2023
TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction
EMNLP 2023
SCOUTER: Slot Attention-Based Classifier for Explainable Image Recognition
ICCV 2021
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks
WACV 2020
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing
MIDL 2020