Kaixin Li
7 papers · 2024–2025 · 2 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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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(22)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Deep Learning
(3)
Machine Learning
(3)
Natural Language Processing
(3)
Models
(3)
Resources & Methods
(3)
Learning Types · Machine Learning
(2)
Computer Science
(1)
Application Areas
(1)
Applications
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
large language model
(3)
multimodal large language model
(3)
code generation
(3)
multimodal learning
(2)
visual reasoning
(2)
model evaluation
(2)
instruction tuning
(2)
benchmark evaluation
(2)
multi-agent system
(2)
data selection
(1)
large multimodal model
(1)
tree structure
(1)
transfer learning
(1)
evaluation framework
(1)
bias reduction
(1)
in-context learning
(1)
training-free method
(1)
data synthesis
(1)
multi-agent collaboration
(1)
llm fine-tuning
(1)
Papers
AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness
ACL 2025
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
ACL 2025
MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models
EMNLP 2025
MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
EMNLP 2025
Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models
ACL 2025
InstructCoder: Instruction Tuning Large Language Models for Code Editing
ACL 2024
MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems
EMNLP 2024