Kaixin Li
7 papers · 2024–2025 · 2 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (2) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (23) π Cross-Pollinator (13)
π
Renaissance Researcher
(5)
β‘
Prolific Year
(5)
Conferences
ACL (4)
EMNLP (3)
Top co-authors
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
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
ACL 2025
Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models
ACL 2025
AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness
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
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