Lin Lee Cheong
11 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Core AI
(7)
Natural Language Processing
(5)
Application Areas
(4)
Optimization & Theory
(4)
Resources & Methods
(3)
Deep Learning
(2)
Applications
(2)
Core Methods
(2)
Computer Vision
(1)
Analysis
(1)
Domain-Specific
(1)
Generation
(1)
Learning Types
(1)
Keywords
reinforcement learning
(3)
large language model
(2)
prompt engineering
(2)
model selection
(1)
strategic reasoning
(1)
text generation
(1)
natural language processing
(1)
human pose estimation
(1)
bidirectional attention
(1)
efficient computing
(1)
privacy protection
(1)
monte carlo tree search
(1)
language model
(1)
collaborative inference
(1)
text prompt
(1)
information retrieval
(1)
prompt optimization
(1)
large vision-language model
(1)
object hallucination
(1)
policy optimization
(1)
Papers
Collaborative LLM Numerical Reasoning with Local Data Protection
AAAI 2026
Diffusion Language Model Inference with Monte Carlo Tree Search
EACL 2026
Learning to Ideate for Machine Learning Engineering Agents
EACL 2026
PromptPrism: A Linguistically-Inspired Taxonomy for Prompts
EACL 2026
Reinforcement Learning for Self-Improving Agent with Skill Library
ACL 2026
SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph
EACL 2026
A Systematic Survey of Automatic Prompt Optimization Techniques
EMNLP 2025
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
NAACL 2025
CSPLADE: Learned Sparse Retrieval with Causal Language Models
IJCNLP 2025
IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs
EMNLP 2025
Single View Physical Distance Estimation Using Human Pose
ICCV 2021