Sheng Lu
6 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Interdisciplinary Bridge Β· Silver
πΊοΈ
Taxonomy Completionist
(18)
π£
Hot Topic Early Bird
β
The Questioner
(2)
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Natural Language Processing
(3)
Learning Types
(3)
Models
(3)
Resources & Methods
(3)
Learning Paradigms
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Clinical
(1)
Core AI
(1)
Core Methods
(1)
Generation
(1)
Keywords
in-context learning
(3)
large language model
(2)
peer review analysis
(1)
prompt engineering
(1)
topic modeling
(1)
cross-modal retrieval
(1)
linguistic knowledge
(1)
exemplar selection
(1)
vision-language model
(1)
edge computing
(1)
inference acceleration
(1)
prompt sensitivity
(1)
speculative decoding
(1)
model acceleration
(1)
greedy decoding
(1)
emergent abilities
(1)
aspect extraction
(1)
information measure
(1)
text clustering
(1)
model memory
(1)
Papers
DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models
AAAI 2026
Gastric-X: A Multimodal Multi-Phase Benchmark Dataset for Advancing Vision-Language Models in Gastric Cancer Analysis
CVPR 2026
Identifying Aspects in Peer Reviews
EMNLP 2025
Are Emergent Abilities in Large Language Models just In-Context Learning?
ACL 2024
How are Prompts Different in Terms of Sensitivity?
NAACL 2024
Measuring Pointwise π±-Usable Information In-Context-ly
EMNLP 2023